It doesn’t see images and doesn’t hear audio. #2511

Zontomoka5934 · 2026-09-29T09:57:26Z

Zontomoka5934
Sep 29, 2026

Hi. There's a problem. It doesn’t see images and doesn’t hear audio.

The model sees images if the image processing is done on the CPU.

koboldcpp 1.122.1
gemma-4-E2B-it-Q4_K_M.gguf + mmproj-F16.gguf
Windows 7 x64
RTX 3080 Ti VRAM 12Gb (driver: R472.12 (r470_00-280) / 30.0.14.7212 (9-13-2021))
CUDA: NVIDIA GeForce RTX 3080 Ti - Compute Capability:8.6
cublas64_11.dll (CRC32:C8982F90)
cublasLt64_11.dll (CRC32:C943B68A)
msvcp140.dll (v14.44.35211.0) (CRC32:A16F96B0)
RAM 64Gb
Xeon E5-1650v4
Active Modules: TextGeneration MultimodalVision MultimodalAudio

Option 1

With this setup, the model sees garbage instead of an image.

koboldcpp-oldpc.exe --gpulayers -1 --showgui --usecuda 0 0 --model %1 --launch --threads 6 --blasthreads 6 --jinjatools --useswa --contextsize 65536 --mmproj "R:\mmproj-F16.gguf" --visionmaxres 256 --visionmintokens -1 --visionmaxtokens 32

Option 2

If --mmprojcpu, the model sees the images correctly.

koboldcpp-oldpc.exe --gpulayers -1 --showgui --usecuda 0 0 --model %1 --launch --threads 6 --blasthreads 6 --jinjatools --useswa --contextsize 65536 --mmproj "R:\mmproj-F16.gguf" --visionmaxres 256 --mmprojcpu --visionmintokens -1 --visionmaxtokens 32

Option 1.1

The model doesn’t hear the audio (MP3, WAV) in either setup.

koboldcpp-oldpc.exe --gpulayers -1 --showgui --usecuda 0 0 --model %1 --launch --threads 6 --blasthreads 6 --jinjatools --useswa --contextsize 65536 --mmproj "R:\mmproj-F16.gguf" --visionmaxres 256 --mmprojcpu --visionmintokens -1 --visionmaxtokens 32

Option 1 image (garbage)

***
Welcome to KoboldCpp - Version 1.122.1
For command line arguments, please run --help in the terminal.
Note: The GUI mode is not accessible to screen readers.
***
Auto Selected Default Backend (flag=0)

Loading Chat Completions Adapter: C:\Users\<HIDDEN>\AppData\Local\Temp\_MEI39042\kcp
p_adapters\AutoGuess.json
Chat Completions Adapter Loaded
Auto Recommended GPU Layers: 4
GPU layers is default: Will enable AutoFit for increased estimation accuracy.
System: Windows 6.1.7601 AMD64 Intel64 Family 6 Model 79 Stepping 1, GenuineInte
l
Detected Available GPU Memory: 12122 MB
Detected Available RAM: 47111 MB
Initializing dynamic library: koboldcpp_cublas.dll
==========
Namespace(admin=False, admindir='', adminpassword='', adminunloadtimeout=0, agen
t=False, agent_api_key=None, agent_base_url=None, allow_config_onready=False, an
alyze='', autofit=True, autofitpadding=1024, autoswapmode=False, autoswapthresho
ld=256, baseconfig='', batchsize=512, benchmark=None, blasthreads=6, chatcomplet
ionsadapter='AutoGuess', cli=False, config=None, contextsize=65536, debugmode=0,
 defaultgenamt=2048, device='', downloaddir='', draftamount=4, draftgpulayers=99
9, draftgpusplit=None, draftmodel=None, embeddingsgpu=False, embeddingsmaxctx=40
96, embeddingsmodel='', enableguidance=False, exportconfig='', exporttemplate=''
, failsafe=False, ffncpu=0, flashattention=False, forceversion=False, foreground
=False, gendefaults='', gendefaultsoverwrite=False, genlimit=0, gpulayers=4, hig
hpriority=False, hordeconfig=None, hordegenlen=0, hordekey='', hordemaxctx=0, ho
rdemodelname='', hordeworkername='', host='', ignoremissing=False, jinja=True, j
inja_kwargs='', jinja_tools=True, jinjatemplate='', jinjathink='default', launch
=True, lora=None, loramult=1.0, lowvram=False, maingpu=-1, maxrequestsize=32, mc
pfile=None, mmproj='R:\\mmproj-F16.gguf', mmprojcpu=False, model=['<HIDDEN>:\\<HIDDEN>\\Модел
и\\Google\\Gemma 4\\by Unsloth\\E2B-it-GGUF\\Q4_K_M\\gemma-4-E2B-it-Q4_K_M.gguf'
], model_param='<HIDDEN>:\\<HIDDEN>\\Модели\\Google\\Gemma 4\\by Unsloth\\E2B-it-GGUF\\Q4_K_M
\\gemma-4-E2B-it-Q4_K_M.gguf', moecpu=0, moeexperts=-1, multiplayer=False, multi
user=10, musicdiffusion='', musicembeddings='', musicllm='', musiclowvram=False,
 musicvae='', noavx2=False, noblas=False, nobostoken=False, nocertify=False, nof
astforward=False, noflashattention=False, nommap=False, nommq=False, nomodel=Fal
se, nopipelineparallel=False, noshift=False, noswa=False, onready='', overridekv
=None, overridenativecontext=0, overridetensors=None, parallelrequests=1, passwo
rd=None, pipelineparallel=False, port=5001, port_param=5001, preloadstory=None,
prompt='', proxy_port=None, quantkv='f16', quiet=False, ratelimit=0, reasoningef
fort='default', remotetunnel=False, reqtimeout=600, ropeconfig=[0.0, 10000.0], r
outermode=False, rpcdevice='', rpchost='0.0.0.0', rpcmode='disabled', rpcport=55
51, rpctargets='', run_bundled_agent=False, savedatafile=None, sdaudiovae='', sd
clamped=0, sdclampedsoft=0, sdclip1='', sdclip2='', sdclipdevice=-2, sdclipgpu=F
alse, sdconfig=None, sdconvdirect='off', sdflashattention=False, sdgendefaults=F
alse, sdllm='', sdlora=[], sdloramult=[1.0], sdmaingpu=-1, sdmodel='', sdnotile=
False, sdoffloadcpu=False, sdphotomaker='', sdquant=0, sdt5xxl=None, sdthreads=5
, sdtiledvae=512, sdupscaler='', sdvae='', sdvaeauto=False, sdvaecpu=False, sdva
edevice=-1, sdvramlimit=0, showgui=False, singleinstance=False, skiplauncher=Fal
se, smartcache=0, smartcontext=False, splitmode='layer', ssl=None, swapadding=0,
 tensor_split=None, testmemory=False, threads=6, ttsdir='', ttsgpu=False, ttsmax
len=4096, ttsmodel='', ttsthreads=5, ttswavtokenizer='', ubatchsize=-1, unpack='
', usecpu=False, usecuda=['normal', '0'], usedirectio=False, usemlock=False, use
mmap=False, usemtp=False, useswa=True, usevulkan=None, version=False, visionmaxr
es=256, visionmaxtokens=32, visionmintokens=-1, websearch=False, whispermodel=''
)
==========
Loading Text Model: <HIDDEN>:\<HIDDEN>\Модели\Google\Gemma 4\by Unsloth\E2B-it-GGUF\Q4_K_M\ge
mma-4-E2B-it-Q4_K_M.gguf

The reported GGUF Arch is: gemma4
Arch Category: 50

---
Identified as GGUF model.
Attempting to Load...
---
Using automatic RoPE scaling for GGUF. If the model has custom RoPE settings, th
ey'll be used directly instead!
System Info: AVX = 1 | AVX_VNNI = 0 | AVX2 = 1 | AVX512 = 0 | AVX512_VBMI = 0 |
AVX512_VNNI = 0 | AVX512_BF16 = 0 | AMX_INT8 = 0 | FMA = 1 | NEON = 0 | SVE = 0
| ARM_FMA = 0 | F16C = 1 | FP16_VA = 0 | RISCV_VECT = 0 | WASM_SIMD = 0 | SSE3 =
 1 | SSSE3 = 1 | VSX = 0 | MATMUL_INT8 = 0 | LLAMAFILE = 1 |
ggml_cuda_init: found 1 CUDA devices (Total VRAM: 12288 MiB):
  Device 0: NVIDIA GeForce RTX 3080 Ti, compute capability 8.6, VMM: no, VRAM: 1
2288 MiB
Number of Backends: 3
Backend 0: CUDA
Backend 1: RPC
Backend 2: CPU
CUDA MMQ: True
---
Initializing CUDA/HIP, please wait, the following step may take a few minutes (o
nly for first launch)...
---

Estimating MMProj GPU usage...MMProj Autofit Usage: 941 MB
Attempting to use llama.cpp's automating fitting code. This will override all yo
ur layer configs, may or may not work!
Autofit Reserve Space: 1965 MB
Autofit Success: 1, Autofit Result: -c 65664 -ngl -1
llama_model_loader: loaded meta data with 56 key-value pairs and 601 tensors fro
m <HIDDEN>:\<HIDDEN>\Р?Р?Р?РчР>Рё\Google\Gemma 4\by Unsloth\E2B-it-GGUF\Q4_K_M\gemma-4-E2B-
it-Q4_K_M.gguf (version GGUF V3 (latest))
print_info: file format = GGUF V3 (latest)
print_info: file type   = unknown, may not work
print_info: file size   = 2.88 GiB (5.32 BPW)
llama_prepare_model_devices: using device CUDA0 (NVIDIA GeForce RTX 3080 Ti) (00
00:02:00.0) - 11547 MiB free
init_tokenizer: initializing tokenizer for type 2
load: 0 unused tokens
load: control-looking token:      1 '<eos>' was not control-type; this is probab
ly a bug in the model. its type will be overridden
load: control-looking token:     50 '<|tool_response>' was not control-type; thi
s is probably a bug in the model. its type will be overridden
load: control-looking token:    212 '</s>' was not control-type; this is probabl
y a bug in the model. its type will be overridden
load: printing all EOG tokens:
load:   - 1 ('<eos>')
load:   - 50 ('<|tool_response>')
load:   - 106 ('<turn|>')
load:   - 212 ('</s>')
load: special_eog_ids contains '<|tool_response>', removing '</s>' token from EO
G list
load: special tokens cache size = 24
load: token to piece cache size = 1.9445 MB
print_info: arch                  = gemma4
print_info: vocab_only            = 0
print_info: no_alloc              = 0
print_info: n_ctx_train           = 131072
print_info: n_embd_inp            = 1536
print_info: n_embd                = 1536
print_info: n_embd_out            = 1536
print_info: n_layer               = 35
print_info: n_layer_all           = 35
print_info: n_head                = 8
print_info: n_head_kv             = 1
print_info: n_rot                 = 512
print_info: n_swa                 = 512
print_info: is_swa_any            = 1
print_info: non_causal_type       = 1
print_info: n_embd_head_k         = 512
print_info: n_embd_head_v         = 512
print_info: n_gqa                 = 8
print_info: n_embd_k_gqa          = [256, 256, 256, 256, 512, 256, 256, 256, 256
, 512, 256, 256, 256, 256, 512, 256, 256, 256, 256, 512, 256, 256, 256, 256, 512
, 256, 256, 256, 256, 512, 256, 256, 256, 256, 512]
print_info: n_embd_v_gqa          = [256, 256, 256, 256, 512, 256, 256, 256, 256
, 512, 256, 256, 256, 256, 512, 256, 256, 256, 256, 512, 256, 256, 256, 256, 512
, 256, 256, 256, 256, 512, 256, 256, 256, 256, 512]
print_info: f_norm_eps            = 0.0e+00
print_info: f_norm_rms_eps        = 1.0e-06
print_info: f_clamp_kqv           = 0.0e+00
print_info: f_max_alibi_bias      = 0.0e+00
print_info: f_logit_scale         = 0.0e+00
print_info: f_attn_scale          = 1.0e+00
print_info: f_attn_value_scale    = 0.0000
print_info: n_ff                  = [6144, 6144, 6144, 6144, 6144, 6144, 6144, 6
144, 6144, 6144, 6144, 6144, 6144, 6144, 6144, 12288, 12288, 12288, 12288, 12288
, 12288, 12288, 12288, 12288, 12288, 12288, 12288, 12288, 12288, 12288, 12288, 1
2288, 12288, 12288, 12288]
print_info: n_expert              = 0
print_info: n_expert_used         = 0
print_info: n_expert_groups       = 0
print_info: n_group_used          = 0
print_info: causal attn           = 1
print_info: pooling type          = -1
print_info: rope type             = 2
print_info: rope scaling          = linear
print_info: freq_base_train       = 1000000.0
print_info: freq_scale_train      = 1
print_info: freq_base_swa         = 10000.0
print_info: freq_scale_swa        = 1
print_info: n_embd_head_k_swa     = 256
print_info: n_embd_head_v_swa     = 256
print_info: n_rot_swa             = 256
print_info: n_ctx_orig_yarn       = 131072
print_info: rope_yarn_log_mul     = 0.0000
print_info: rope_finetuned        = unknown
print_info: model type            = E2B
print_info: model params          = 4.65 B
print_info: general.name          = Gemma-4-E2B-It
print_info: vocab type            = BPE
print_info: n_vocab               = 262144
print_info: n_merges              = 514906
print_info: BOS token             = 2 '<bos>'
print_info: EOS token             = 106 '<turn|>'
print_info: UNK token             = 3 '<unk>'
print_info: PAD token             = 0 '<pad>'
print_info: MASK token            = 4 '<mask>'
print_info: LF token              = 107 '
'
print_info: EOG token             = 1 '<eos>'
print_info: EOG token             = 50 '<|tool_response>'
print_info: EOG token             = 106 '<turn|>'
print_info: max token length      = 93
load_tensors: loading model tensors, this can take a while... (load_mode = none)

load_tensors: offloading output layer to GPU
load_tensors: offloading 34 repeating layers to GPU
load_tensors: offloaded 36/36 layers to GPU
load_tensors:        CUDA0 model buffer size =  1407.73 MiB
load_tensors:    CUDA_Host model buffer size =  1756.00 MiB
load_all_data: using async uploads for device CUDA0, buffer type CUDA0, backend
CUDA0
.........................................

SWA Mode is ENABLED!
Note that using SWA Mode cannot be used with Context Shifting!
Context shifting is DISABLED!
Automatic RoPE Scaling: Using model internal value.
llama_context: constructing llama_context
llama_context: n_seq_max             = 1
llama_context: n_ctx                 = 65792
llama_context: n_ctx_seq             = 65792
llama_context: n_batch               = 512
llama_context: n_ubatch              = 512
llama_context: causal_attn           = 1
llama_context: flash_attn            = enabled
llama_context: kv_unified            = true
llama_context: freq_base             = 1000000.0
llama_context: freq_scale            = 1
llama_context: n_rs_seq              = 0
llama_context: n_outputs_max         = 512
llama_context: n_outputs_max_per_seq = 1
llama_context: n_ctx_seq (65792) < n_ctx_train (131072) -- the full capacity of
the model will not be utilized
set_abort_callback: call
llama_context:  CUDA_Host  output buffer size =     1.00 MiB
llama_kv_cache_iswa: creating non-SWA KV cache, size = 65792 cells
llama_kv_cache: reusing layers:
llama_kv_cache:      CUDA0 KV buffer size =   385.50 MiB
llama_kv_cache: size =  385.50 MiB ( 65792 cells,   3 layers,  1/1 seqs), K (f16
):  192.75 MiB, V (f16):  192.75 MiB
llama_kv_cache: attn_rot_k = 0, n_embd_head_k_all = 512
llama_kv_cache: attn_rot_v = 0, n_embd_head_k_all = 512
llama_kv_cache_iswa: creating     SWA KV cache, size = 1152 cells
llama_kv_cache: reusing layers:
llama_kv_cache:      CUDA0 KV buffer size =    13.50 MiB
llama_kv_cache: size =   13.50 MiB (  1152 cells,  12 layers,  1/1 seqs), K (f16
):    6.75 MiB, V (f16):    6.75 MiB
llama_kv_cache: attn_rot_k = 0, n_embd_head_k_all = 256
llama_kv_cache: attn_rot_v = 0, n_embd_head_k_all = 256
llama_context: enumerating backends
llama_context: backend_ptrs.size() = 2
sched_reserve: reserving ...
sched_reserve: max_nodes = 4816
resolve_fused_ops: resolving fused DeepSeek V4 HC support:
resolve_fused_ops: fused DeepSeek V4 HC pre enabled
resolve_fused_ops: fused DeepSeek V4 HC comb enabled
resolve_fused_ops: fused DeepSeek V4 HC post enabled
sched_reserve:      CUDA0 compute buffer size =   600.89 MiB
sched_reserve:  CUDA_Host compute buffer size =    88.90 MiB
sched_reserve: graph: nodes = 1496, splits = 2, input objects = 5, input tensors
 = 10
sched_reserve: reserve took 61.70 ms, sched copies = 1
Threadpool set to 6 threads and 6 blasthreads...
attach_threadpool: call

Attempting to apply Multimodal Projector: R:\mmproj-F16.gguf
clip_model_loader: model name:   Gemma-4-E2B-It
clip_model_loader: description:
clip_model_loader: GGUF version: 3
clip_model_loader: alignment:    32
clip_model_loader: n_tensors:    1411
clip_model_loader: n_kv:         38

clip_model_loader: has vision encoder
clip_model_loader: has audio encoder
clip_ctx: CLIP using CUDA0 backend
load_hparams: projector:          gemma4v
load_hparams: n_embd:             768
load_hparams: n_head:             12
load_hparams: n_ff:               3072
load_hparams: n_layer:            16
load_hparams: ffn_op:             gelu_quick
load_hparams: projection_dim:     1536

--- vision hparams ---
load_hparams: image_size:         224
load_hparams: patch_size:         16
load_hparams: has_llava_proj:     0
load_hparams: minicpmv_version:   0
load_hparams: n_merge:            3
load_hparams: n_wa_pattern: 0
load_hparams: image_min_pixels:   73728 (custom value)
load_hparams: image_max_pixels:   73728 (custom value)

load_hparams: model size:         939.89 MiB
load_hparams: metadata size:      0.62 MiB
load_tensors: loaded 211 tensors from R:\mmproj-F16.gguf
get_dummy_batch: warmup with image size = 768 x 768
clip_ctx: CLIP using CUDA0 backend
load_hparams: projector:          gemma4a
load_hparams: n_embd:             1024
load_hparams: n_head:             8
load_hparams: n_ff:               4096
load_hparams: n_layer:            12
load_hparams: ffn_op:             gelu_quick
load_hparams: projection_dim:     1536

--- audio hparams ---
load_hparams: n_mel_bins:         128
load_hparams: proj_stack_factor:  0
load_hparams: audio_chunk_len:    0
load_hparams: audio_sample_rate:  16000
load_hparams: audio_n_fft:        512
load_hparams: audio_window_len:   320
load_hparams: audio_hop_len:      160

load_hparams: model size:         939.89 MiB
load_hparams: metadata size:      0.62 MiB
load_tensors: loaded 273 tensors from R:\mmproj-F16.gguf
get_dummy_batch: warmup with audio size = 3000
init_audio: audio input is in experimental stage and may have reduced quality:
    https://github.com/ggml-org/llama.cpp/discussions/13759
Starting model warm up, please wait a moment...
Load Text Model OK: True
Chat completion heuristic: Google Gemma 4 (E2B and E4B)
Embedded KoboldAI Lite loaded.
Embedded API docs loaded.
Llama.cpp UI loaded.
======
Active Modules: TextGeneration MultimodalVision MultimodalAudio
Inactive Modules: ImageGeneration VoiceRecognition NetworkMultiplayer ApiKeyPass
word WebSearchProxy TextToSpeech VectorEmbeddings AdminControl MCPBridge MusicGe
n RouterMode
Enabled APIs: KoboldCppApi OpenAiApi OllamaApi AnthropicApi
Note: For third party Ollama API Emulation, you should set the port to 11434.
Starting Kobold API on port 5001 at http://localhost:5001/api/
Starting OpenAI Compatible API on port 5001 at http://localhost:5001/v1/
Starting llama.cpp secondary WebUI at http://localhost:5001/lcpp/
======
Please connect to custom endpoint at http://localhost:5001

Input: {"n": 1, "max_context_length": 65536, "max_length": 1536, "rep_pen": 1.05
, "temperature": 0.4, "top_p": 0.92, "top_k": 100, "top_a": 0, "typical": 1, "tf
s": 1, "rep_pen_range": 360, "rep_pen_slope": 0.7, "sampler_order": [6, 0, 1, 3,
 4, 2, 5], "trim_stop": true, "genkey": "KCPP4306", "min_p": 0, "dynatemp_range"
: 0, "dynatemp_exponent": 1, "smoothing_factor": 0, "smoothing_curve": 1, "nsigm
a": 0, "banned_tokens": [], "render_special": false, "logprobs": false, "presenc
e_penalty": 0, "logit_bias": {}, "adaptive_target": -1, "adaptive_decay": 0.9, "
stop_sequence": ["<turn|>\n<|turn>user"], "use_default_badwordsids": false, "byp
ass_eos": false, "messages": [{"role": "user", "content": [{"type": "image_url",
 "image_url": {"url": "data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/4gHYSU
NDX1BST0ZJTEUAAQEAAAHIAAAAAAQwAABtbnRyUkdCIFhZWiAAAAAAAAAAAAAAAABhY3NwAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAQAA9tYAAQAAAADTLQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAlkZXNjAAAA8AAAACRyWFlaAAABFAAAABRnWFlaAAABKAAAAB
RiWFlaAAABPAAAABR3dHB0AAABUAAAABRyVFJDAAABZAAAAChnVFJDAAABZAAAAChiVFJDAAABZAAAAC
hjcHJ0AAABjAAAADxtbHVjAAAAAAAAAAEAAAAMZW5VUwAAAAgAAAAcAHMAUgBHAEJYWVogAAAAAAAAb6
IAADj1AAADkFhZWiAAAAAAAABimQAAt4UAABjaWFlaIAAAAAAAACSgAAAPhAAAts9YWVogAAAAAAAA9t
YAAQAAAADTLXBhcmEAAAAAAAQAAAACZmYAAPKnAAANWQAAE9AAAApbAAAAAAAAAABtbHVjAAAAAAAAAA
EAAAAMZW5VUwAAACAAAAAcAEcAbwBvAGcAbABlACAASQBuAGMALgAgADIAMAAxADb/2wBDABALDA4MCh
AODQ4SERATGCgaGBYWGDEjJR0oOjM9PDkzODdASFxOQERXRTc4UG1RV19iZ2hnPk1xeXBkeFxlZ2P/2w
BDARESEhgVGC8aGi9jQjhCY2NjY2NjY2NjY2NjY2NjY2NjY2NjY2NjY2NjY2NjY2NjY2NjY2NjY2NjY2
NjY2NjY2P/wAARCAIAAgADASIAAhEBAxEB/8QAGwAAAwEBAQEBAAAAAAAAAAAAAAIDBAEFBwb/xAAcEA
EBAQEBAQEBAQAAAAAAAAAAAgESAxEhEzH/xAAaAQEBAQEBAQEAAAAAAAAAAAAAAQIDBAYF/8QAGREBAQ
EBAQEAAAAAAAAAAAAAAAECERIh/9oADAMBAAIRAxEAPwAAD918sAAAAAAAAAAAAAAAAAAAAAAtGLSETp
KlaSpiuuUqSpWkqcq75SpKlaSpzrtlKkqVpKnKu+U6SpWkqc675SpKlaSpzrtlyVZSlWWFqkqSnKko46
VlSU5UkcdKSpKcqSjjpWVJTlSRy0pKspSrKOOlJdcl1HJ0AI1HQAjUdADLToARY6AGWnQAjUAARQAAAA
AwAfVPzgAAAAAAAAAAAAAAAAAAAAAFoxaQidJUrSVMV1ylSVK0lTlXfKVJUrSVOddspUlStJU5V3ynSV
K0lTnXfKVJUrSVOddsuSrKUqywtUlSU5UlHHSsqSnKkjjpSVJTlSUcdKypKcqSOWlJVlKVZRx0pLrkuo
5OgBGo6AEajoAZadACLHQAy06AEagACKAAAAAGAD6p+cAAAAAAAAAAAAAAAAAAAAAAtGLSETpKlaSpiu
uUqSpWkqcq75SpKlaSpzrtlKkqVpKnKu+U6SpWkqc675SpKlaSpzrtlyVZSlWWFqkqSnKko46VlSU5Uk
cdKSpKcqSjjpWVJTlSRy0pKspSrKOOlJdcl1HJ0AI1HQAjUdADLToARY6AGWnQAjUAARQAAAAAwAfVPz
gAAAAAAOA6HAg6Ppfo+hw31z6X6Pp1eG+j6X659OnD/R9J9c6OnFPpa0vRdpOrIK1KtNWp1rna65haSp
Sk9c7XbMSpOsVolY52u+YhWJVjRWJ1LnXbMZ6xKpatlOoc67ZZKnU6nWzYT3zcq7ZZpnVJnVc8z5DK1O
Z1ScPkHyUca5OKTgyT5g5WOziklzD5iONh5UlPD4OVisqTqOapmo42LTpvqWU70OfFPrv1P679ZXh/rv
0n0fUa4f679J9d+stcM6X679ReOuldZaddcdRQAEUAAAAAMAH1T84AAAAADjrmoOOBwV3659c+ubqLx3
659c3XPqda479H0n1zdTq8P9c6JuudJ1eH6c2idF2k61Mm3S7rm65usWusy5pdd1xztdZCaXcU0u4xa6
yJ7hNlbcc2XOusiGyTYaNlzYYrrGbYJsNewX+bnXaM2eZshf8Am7wyVHINkq8O8jlU8k2Yfl34jnYXMN
mD478HKx3DYV1HOw+abNT+u/RysVzXekvruUjHFfrualmmzUOKZps1LNNmsrxT67mp5ps1k4fNd+kzTY
i8MbCYbGVNjpcMigAIAAAAABgA+qfnAAAAAA0um0uoRzS67pdRqObrm6N0u6y3IN1zdc3S7rPWpHd1zd
Lul3U63Ibac2ibpdpnrUh9pzpPac6S1qZV+ufSfXfrFrpIYOOsWukgHx134xa6yF+OcqfHeWK6SJcjhb
l3hiukQ4H82jh3IZrpGX+Y4at8y7DJWfgcr7DmyMVHlz4rsubKOdifwfD7hdwc7HHHdc0YsH0fS7rm6j
nYf67lJdO5QxxbNNmo5ps1k4rmmzUs02aynFc02anmmzUOKZruaTNNmsnD4bCYbGQ+GwuGxAABAAAAAA
MAH1T84AAAAAGk02l1KQul13S6zXSF3S7ru6TdYrcg3Sbo3S7rNrpIN0u65uk3WbW5Hdou05uk2mbW5D
bTmUntOZTFrpMr5ps1HNUzWbW5FMNhMPjNrchsNmOYpmM2tyOZh8l3MPksVuQuSbIPkqZDNbiWQbPNbI
PnmzW4zbBNhs3zJUItZNgmy1VCeyMVn2S7i+yTcRixDcLuK1idYMWJ6XT6nozY5uk3Xa1PdGLHd13KS2
ncpGfK2afNRzTZqM8WzT5qOafNZTiuafNSzT5rKcUzT5qeabNZTimHxPD4yh8PhMNiI6AEAAAAAAwAfV
PzgAAAABzS6bSalWE0mn1OmK6Qu6TdNWp7rFdZHN0m67up7rFrpIN0m6N1OtYtdJHdom05up7TFrrIba
cmk9pyaYtdJlpnVJ1CdVnWetTK86pKUqynW5FZUnCSrOM9akNOKzLk4rMo1IJlWYdmVphlqEmFJ81Jha
fNGoy15p1DdUI1CDFUJVLZUI1Iyy1KVY1VKNYM8Z6xKsXrEqE4hSdK0jSM8TrUq09alWjNha13KSrXco
ZsXzT5qGapmss2LZp81GdUzWWbFs0+ajOqZrLNiuafNSnVMSs2KYfE8Ulms1TDYTD4yy6AEAAAAAAwAf
VPzgAAAABzSUfU6SrCUnR6TpzrrCVqdaetSrXOu0ha0la7Wp1rFrrI5Wp1rtalWudrtIK1OqFanVOdrr
IKoTSdU5FfrFrrMtcavGssa0RrPWvLTC0IQvB1eLwvGIxjRGJ1eKRi8SSMaIlF4aJWiBErxCKIhePN2I
aI80VmvzQuHoX5s9wDBcIXLdcM9yIxXKN413LPcicZbxC8arxnvA4zWhbRbPYnEb1C9VvWe9E4nVOzSV
7+uzSJYvOqTqE6pOpWLF51SdQnVJ1msWLzqk6hOqzrNYsVnVJ1KdUnWWLFZUlKVJZrNVk+JypjLFdACI
AAAAAGBeh0+pfncMC9DoOGBeh0HHdTo20nWpWswlJ0etSrXOu2YStSrVKSpztdswlalWqViVY5Wu+YSt
SrVKxKpc7XbMTrU6pSpSqHO12zE6oRQqBEOdrtI0eetPnrP5w0+cJ1eNHm0+aHnDT5ydOL+eNPniPnLV
5yHFfPGnzlLzlq88QU85afOE/PGrzwU/nDT5+ZPPGnzBH082b0hv8ARm9MBg9IZvSW/wBMZfTAYfSWb0
xu9MZfSQYvTGb0xt9JZfSQY/Rm9Gv0lm9IE4yems3prV6QzekBxluv12aFwJgLFJ1WdSmFJlmudis6rO
pTKk4zWLFZ1WdRnFZxmudis6pOpSrLNc7FZVlGVJ1lirSpiU6plM1zpgXodIhgXodAYF6HQF6HSXQ6fT
dePyr0Okuh0dPKvQ6S6HR08qbRN0u0XdZtamRuk3Xd0u6xa7ZhdT0+l1ztdcxPcT3Ftwu452u2Yhsk2V
9kuy511zGbYJsNWwXYc67ZY9h2PP8AWjYdjzYrrHPOGnzgRDREIrvnDT5yWIaIgD+ctPnKcS0xIHiWnz
xKJaYwFfPGmMRjGiMBfzaPNCF4AejP6NFoWDL6YzemNd4z3gMfpjNctt4zXIMfpLN6S3XLNcgw+ks3pD
fcM9wDz/SGb0h6Nwz3APOvz/XMhqvzcyAqWQfIVyDZDLFTyT5J8k2SjnXMw+YMw2YyxY7imEw2MsWKYf
NTzTZrLFiuafKRzTZScc7Feh0l0Ok4nFeh0l0OjhxXodJdDo4cJ0Okuh0/f68/lXodJdDo6eVeh0l0Oj
p5V6c+p9D6lqzJt1zdc+hi11kDjoYtdJC/HPh/g+MWusiey5sq8jliusiOw5wvwOGK6Rm4NHmvwafNiu
kLELxBohaIRXIhoiBELxACJXiXIlaJA8SvGEiV4wDxi8YnGLRgLQvCMLQAtC17RsGa8QvGm8RvAZbxC5
a7xC5BjuULlsuUbkGK4Z7hvuELgGC4QuG+4RuAeffmXhrrzLwDPw7wvwOEYqOS7yryOWWan8d+H+OfEY
rjoDLFjrv0o+ozYf670n9HScYsU6HSfQ6TicU6HSfQ6OHFOh0n0OjhxPodJdDp+z1x8q9DpLodHTyr0O
kuh0dPKvTuallGzUtamVPpsTzTZrNrch3ccw2MWukg+O/Hcw+Yza3IXJd5PkmyWK6SJ5DuQtkGyGa3EM
8zz5rZCk+bDcTmFZhSYVmBSTC0y7MKzACZVmRMrTICZWnHJlScA04tOEnFZwFJWlKVZAUjS1JUCFYjWN
FYlWAz1iNS01idSDJUpVLXUo1IMlSjUNlQlUAxVCVQ3VCVQDBXmTYba809gGXYc2GnYLsIzWfkvK+yXZ
Rmo7jnxTcLuIzYnuOG0uozY5uubo0m6jNju650XdLtJxninQ6S6HScTivQ6S6HRw4r0Okuh0cOJ9DpLo
dP0useVeh0l0Ojp5V6HSXQ6OnlbKPms+UpOnVmWjNPOozqs6z1qRXD4nKss9b...gTy0+bT56y+bRGie
Wzz1p86YvPWmKE42+dNPnTD500RQnHoedtPnbzotpiwej52tnowRa2egjV2O2fLd7Bo7HSHbvQL9DpHp
3oFenfqXTv0FPrv1PNNmgYOO4AA1wHfrn1zdL9A/1zon1zoFOh0l050CvQ7R6c7BbsdodubYL76I+lk3
0Suwc9LZvSjXbPdIE9KZvTVbpnvU6I+ms3o0XrPZ0ZvRm9MarxC8T0rH6Szekttyz3Kehh9IZ7j9b7hC
o/T0MvA4aOBwehn4HDRwOD0M/A4aOBwehL4Ph/g+NPb5J8Hw/wfA8k+D4f4PgeXJz9WjE5z9WjBLlWGi
EIXhWbleF41nhaNGblpjWiKZY1aNGeNcUvFMcUtFDFjdFrxbBFrxas1vi1stgi1c9BlsyzZbJlnywacs
2WzZZ8oGjKNlM+UfKBfKNmo5R80Fc02almnzQUw2J4fAd0uu6TQG6XdG6TdB3dLtObpNoDbRdom0TaBT
bLtp7RNsFtsu2jtk2wX20rtLfROrA92jdFq06pijlUjemqkq1m1SXqNqVqdM2iFYjeNFJVjN0rNco3LV
Up1LN0MdwjUfrbUJ7H6z6GXgcNPA4T2M3A4aeBwexm4HDTwOD2PO+D4p8Hx636nlP4PinwfA8p/B8U+D
4HkmYrOFzFJwS5PK0pyeVYuVpVnUZUnRzuV51aaZp1WaGLGmaVmmWaUmlc7GubWm2KbVmxixtm1Z9GGb
Un0VituWplsU2pNiNmWpNsk2pNg1ZR8pmmlZoGjKPmoTqk6C+afNRnVJ0FcUlKVJB2k9PSdAXdJuu1qd
aDm6TaFanWgNom05VJVQH206slWnVgptp7aVWnVgtvonto16F20ortkqk9su0xVPtJ7rm0Xdc7QbpNd3
S6xapNJuKbjm453Qjsp7LRsl2WLpWbYJsNWwXYc7pWbgcNPA4T0M3A4aeBwehm4HDTwOD0PE+D4f4Pj9
N+35J8Hw/wfA8k+D4f4PgeSZh8wZhswS5dxTCYfFcrk+HzU8Nmjlcq5qmUhmnylcrF8o+Uz5RspXKxpy
z5bLlmyxyrZnopPoxZZ59Fc63zas2wzas2I2zas2xza00DXNLTTJNKzQNc0pOs00tOg0Tqs6zzq06C8q
yjK0gKSpWkaBOtSrT1qNaBa1OqdrUaoBVI1QqkqoBVpVblUjVgerSq06tKrBSvQvbPXo52lGjsdIdu9O
VVXofU+nfrlap/rjn11ytUfB8dd+OV0E5HKnLvLldKjwOF+HeHO6Vn4HDTwOGfQzcDhp4HB6GbgcNPA4
PQ/MfB8P8AB8ftPo/JPg+H+D4HknwfD/B8DyT47mG+D4rNy5hnHRx1l3HfpR9Vx1D/AF3pP6OlcdRbp3
KR6HSuGov27ls/Y7Vx01f0NPoyf0NHorjXoRa0WwRa8WI3xa8WwRbRFg2xS0UxxS8UDZFLxrJFLxoNUa
tGs0avGg0wtCELwAtG1rQsEb1G9UvUL0CXqF0e9QugJdI3Tt0hdALtC7F2z3YO3aN2W7QuwPXo5ls1+j
s2lGvLNlMs2pNOOqrTlGzUJpSdcdVVcPic6pLhqqfMNmOTik4460oyTZJplSZcNaVPIPkKTCmQ460rPw
OGngcM+lZuBw08Dg9DNwOGngcHofjfg+H+D4+ifVeSfB8P8HwPJPg+H+D4Hknxz4p8LuDOskDuua08+s
uOfRpd1Xn1l36OibpdpXDUU6c6T2i7SvPqK9udo7ZdtXDS/Zo9GTbNHorhXoxbRFvO87afOxl6EW0RbB
520+dA3RTTFMPnTT50DZFNMaxRTT56DZGtEayeetPnoNULwz+bR5gLQtf0Z/QEL1nvVr1m9NBK9ZrpX0
1mugJdM10p6UzelAS7Z7s3pTN6WDl2z3Y9LZvSwdv0NNsl+n6aLSq3Tas0xxa0U8+lbJpWdZYpeNcNVW
idWlCNXh59VVZWnE4xaMefWlPMqzLkSvEvPrSiYVyPw0QtMfjz60qHA4aOBwz6Vn4HDRwOD0M/A4aOBw
eh+C+D4YPqn2HwvwfDAPhfg+GAfC7hNxTSaMaT0un0mq8+oTSbqm4TcaebUT3S7p9wm4rz6hNom0fcJu
K82oTaJtn3CbivPqF23Ysu47GNPPqNXnbT52y+eNPngzxr87afOmTzafMONnnTV50xeetPnocbfOmrz1
h86afOhG7z1q89YPOmnzsG/wA9afNg87afP0Bb0ZvTT+ls/pYJ+msvpqvpTN6Ugl6ay+lLems/pp0Q9K
ZfSmj0ZvQ6M/pTL6U0+mM/ph0ZPS2b0tr9JZvSDoyXf6eLFx+miGdaVaKaIpGIafOHn1pVY1ojUoloiX
m1VVhphGJaIl5tVpaGiMSjGiMebVVWJaYlHzxojHn1VWiV5j8Shon/AB5tVpzgcHDHQnA4ODoTgcHB0f
OA6H2D67rgdAdcDoDrmk0+l1WNJ6XcPpdxXDSe4TcV3Cbi9cNJ7hNxXcJuL1w1Etwu4ruE3F68+oluE3
Ftwm4vXDUR3HYw+47GL1wuVIxohGMXg6z5XhohnheF6nGmNaI1ljV40Z41xTRFMcUvFKnG2KaIthil4s
Rvi2iPR58WvHorLTdoXZa9EatB26Z7o1UjVM9CXqF6peo3qdVG0LXtGmejPeM9y1ViNSnoZLlC4bKlG4
Z9KxVH6aIWqDxDOtDkQ0RAiFohw1pXYleJciV4l59aU0S0RJIleJefVU8Y0RiUYvGOGq0rGNEYjGLxjz
6qrQvP+IwtP+OGlMAGAAAAAAfOQ6H2D6zrgdAdcDoDrml02uaM0mk1TS7iuOk9wu4puF3F646T3Cbiu4
XcXrjqJbhdxXcLuHXHUS3C7iu4XcXrjqI7js4fcE4vXK5POKyScVlesXKkrSlKkr1ixedWnWedVnVZsa
ZpaKZZ1WaVmxrmlotjmlJtWK2za0+jDNqz6DNaqtOrS2ybaVD1SdUXaJtMWq7WpVru6TdYtCUnSmk1i1
UqxKpX3CbLN0M9SlUNWyTYYulZKg8QrsHmHO6CxC0Q7MLTDjrSuRK8SJlWZcdaV2JWiSzK0y46qmjFow
k4tOOOqp4xecTnFZxw1VVhWf8AEpVlx0pgAyAAAAAD50HQ+ufVdcDoDrgdAdcLpnNGaXS7h9LuL1zpNw
u4puF3F65Um4XcU3C7h1zsT3C7iu4XcXrlYnuF3Fdwu4vXOxLcGYpuDMOuVyJxSS5h8a6xcnk8kw+L1z
sUnVJ1HNPmqxYvNKTTPlHymnOxpmjzbLlHy1YrXNqT6MeWfLVitW+jm2z/ANB2lZW2i7SfQ6crVPul3X
Prn1ztV3S66HK1Sbjmyp8HxzuhHZc2F+Rw53Ss3B5hbg0w5XSkmFZg8wpMOV0FmVJk0ypMud0rkyrMiZ
UmXK1XZxWcLOKzjlaGnFJws4pOOdU8q4nKmf45VXQAyAAAAAD52HQ+tfUOB0A4HQDjmmcEpdKdz4MUm4
5uH+OfF6xSbhdxT458OudifxzcU+OfF6xYnuObinxz4dYsS3BmKfHPi9YuXMx3Hfjq9c7kYbCutSuVhs
02aT6PrUc7Fco2Uj07005WLZRstn6d7VzrTlu5bN2P6NOVa+3ctlz0Pls6RoyjdM+UfKcdVVs13NTzT5
rjqh8dcw2OOqruY7ku5h8ly1pScmyFMk2Q460qWQfIVyD5DjdKlkHyFcg2QxdKTJPknyT5LF0FmTzJsk
+S52jmYfMGYfMYtV2cPmOZhsxi0PJ8Jh8c6roAQAAAAAHzwOh9W+m64HQHXA6A644ZwRxwznw6yX458P
8AHPi9Qvxz4f458Os8J8c+KfHPh1nhPjnxT458Os8T+D4p8c3F6zcp/Abcc3GpXK5KHdLrUrlY79c+ub
pd1qONh+nOibRdpuOVivQ7R2nNtqOVW7HbPtub6NRxrXPopNsU2rNsaZbJpSaZZpaacNVWmdUnWedWnX
DVVaVJTlWXn1VUnFJws4tMuGtKJlSYdmVphw1pSTB8haYNkON0qOQbIWyHchj0qWSfJUyXclm6CZJsw2
SbJToXMNmO5juYzaDMNmDMdzGbVdw2OY6yOgBAAAAAAfPQ6H1L6TrgdAdcDoDrgdAOB0Khfg+GAF+D4Y
fDqcJ8Hw/wfDpwnxz4f4Ph04T45uKfHNw6lyluE1WsT1qVx1CaTT6TW446hd0m67uk3W44ag2ibTm6St
bjjqG2ibZNom1rUcNKbZN9EtrSbWtxx01xa8Wweda0RTGmG6KXimKKafPXm0rXGrxrL560Q82q00wvCH
m0Q8+qq0YvEp+eNHnjza0qkSvEFjGiJebWldiDcKxOH5xwumkOHeFuRynoS5HKvI+J6E+XeVPg+HQnwf
D/AAfE6F+O/HfgAAOoAAAAAAAAPnwAfUvowAAAAAAAAAAAAAAAAAAAAAOa65oVOiUeiU3HHSep0pqdNR
w0Sk6UpOm44aT0lH0lNxw0nqeqanrccdEpOlKTpuOGj+bRDP5tEMaYafNp82bzafN5tq0ebT5s3m0+by
7aafNp82bzafN5tK0ebT5s3m0+bzbaafNo82fzaPN5tK0wckHeeqAAgAAAAAAAAAAAAAAAAAAAAAPnwA
fUvowAAAAAAAAAAAAAAAAAAAAAOa65oVOiUeiU3HHSep0pqdNRw0Sk6UpOm44aT0lH0lNxw0nqeqanrc
cdEpOlKTpuOGj+bRDP5tEMaYafNp82bzafN5tq0ebT5s3m0+by7aafNp82bzafN5tK0ebT5s3m0+bzba
afNo82fzaPN5tK0wckHeeqAAgAAAAAAAAAAAAAAAAAAAAAPnwAfUvowAAAAAAAAAAAAAAAAAAAAAOa65
oVOiUeiU3HHSep0pqdNRw0Sk6UpOm44aT0lH0lNxw0nqeqanrccdEpOlKTpuOGj+bRDP5tEMaYafNp82
bzafN5tq0ebT5s3m0+by7aafNp82bzafN5tK0ebT5s3m0+bzbaafNo82fzaPN5tK0wckHeeqAAgAAAAA
AAAAAAAAAAAAAAAAP/2Q=="}}, {"type": "text", "text": "\n\nWhat do you see in the
picture?"}]}], "continue_assistant_turn": true, "stream": true}
mtmd_group_mergeable_bitmaps: no merging for part index 0
add_text: <|image>
add_media: preproc_out has 1 entries, grid_x = 0, grid_y = 0, has_overview = 0
image_tokens->nx = 25
image_tokens->ny = 1
batch_f32 size = 1
add_text: <image|>

Processing Media Embedding 1 (25 tokens)encoding image slice...
reserve_compute_meta:      CUDA0 compute buffer size =     9.89 MiB
reserve_compute_meta:        CPU compute buffer size =     0.66 MiB
reserve_compute_meta: graph splits = 1, nodes = 878
warmup: flash attention is disabled
clip_encode: copying image 1/1 to input buffer (nx=240, ny=240)
clip_encode: output embedding shape [1536, 25, 1]
image slice encoded in 22 ms
decoding image batch 1/1, n_tokens_batch = 25
image decoded (batch 1/1) in 26 ms
Processing Prompt [BATCH] (46 / 46 tokens)
Generating (207 / 1536 tokens)
(EOS token triggered! ID:106)
[11:58:39] CtxLimit:253/65536, Init:0.01s, Processed:46 in 0.13s (362.20T/s), Ge
nerated:207/1536 in 3.35s (61.83T/s), Total:3.49s
Output: The image provided is a picture of a **single, stylized character or sym
bol** that appears to be written in a script that resembles **Devanagari** (used
 for languages like Hindi, Marathi, Nepali, etc.).

Specifically, I see:

1.  **Text/Characters:** The most prominent feature is a sequence of characters.
 The first visible character looks like "?" (a vowel sign), and the rest are oth
er Devanagari letters.
2.  **Stylization:** The text seems to be rendered in a decorative or artistic m
anner, perhaps a logo, a name, or a piece of calligraphy.
3.  **Color/Background:** The background appears to be plain, and the text itsel
f is dark (likely black or a very dark color) against a lighter background.

**Without further context, it is impossible to know the exact meaning or origin
of this specific text.** It looks like an excerpt from a script or a word writte
n in Hindi or a related Indian language.

Option 1.1 doesn’t hear the audio (MP3, WAV)

...

Input: {"messages": [{"role": "user", "content": [{"type": "input_audio", "input
_audio": {"data": "UklGRlakAABXQVZFZm10IBAAAAABAAEAgD4AAAD6AAAEACAAZGF0YWyZAADSF
QAANwUAAPUSAAD0DQAA6DUAAKwvAACrGQAALfv//zr8//8s+v//jOn///vh//+DFwAA//T//2sHAAD/7
P//gO3//73W//9/PAAAqyoAACJKAAAqEwAA1UQAAIMHAACRWAAAJ9n//yxcAAAl4f//+yUAAEcVAABsf
AAAVfn//5uoAABrHQAA0psAACEQAAB/SgAAUA0AABJqAAA+TgAAB58AAMYPAABszwAA/BEAACDyAADNO
AAAe6gAAPdSAAANagAA4zMAAN3WAACFWQAA+dQAAPACAACl9wAATiIAAIxjAABj+v//rdsAAM3l//8ja
gAAMkwAAGINAQDgDwAAN08AAEw/AABqQgAAWMz//11qAABFHQAAXvT//z3t//9IZQAAoPj//wn3AADc2
f//j3AAACcVAAAVSAAAyu3//+udAACrCwAAg3MAABl3//9TmgAAq3r//0ypAACoDQAA/cIAABzS//+Si
wAAgc///xCtAABQ5f//EKUAAA2H//+ScAAABdH+/+BTAADLBf//mW8AAHZp///M7v//fY3//4lyAACAb
///kwcBAJL8///OcQAAtbb//xhBAADTCv//JFoAAKda//95MQAAW0r//zSKAADeUP//VUYBAOqW//+0S
QAA7AIAAJFcAACxdf//rxIAAI+p//+tPwAAk1IAAJH5AABduv//KKoAAH6+//+/awAAKCIAAIjHAACqb
f//yPUAAJPT//8hKwAAstn+/3aYAACH4P//9NAAAO/l//9w2wAA/R///9ZiAAA2Tv//VTkAANuo///tF
AEApfD//3TH//8IQv7/w7cAAHLY/v+LUwAATtj///HdAAAYaP//AgUBAI3I//8HeQEAI+H+/5qRAADUf
P//3HEAAAKb/v9B8QAAfyH+/220//8gQP//qqIAAJex/v8iPgAA827//2ykAADdLv//GkcBAGqq/v9s1
AEAnQn//18/AABRRwAAgWQAADjG//+6KQEAnmT//72NAQB4c///3pgAANRF///+lQEAwg3//1Ob//+DV
///lCIAAPFU/v83igAAR8j+/1SX///C9P7/SOQAABpY//9t0wAAChj//5TAAQBicf//YacAAPy4//8YU
QAAuVX9/z5MAAAfDv//cUcBAKON/v+yrAAAkbP+/4v7//+Lav7/B+MAAMm+/v+VTwEADn7//21xAADjy
/3/qoIAABfR/v/TWgAAqVn+/1ZLAQDybv7/tdUAALSW/v9GhAAAKJb+/2AMAgBS3v7/fHsBAGeT/v+Xo
wAAnCD+/7l4AQAGhP7/XSUAAHzo///CEwEAWEz//1UHAQDbmv7/o8UAANfp/v++LAAAn8v9/4CBAAC/y
/3/vowAANO9//982wAAov3+/1VvAQDhKf7/KGsAALYT//9/FwAAOMn+//Ml//8GhP3/c0j//0ql/f/4E
gAAOib+/0FXAABS5P3/c+P//yEP/v9ZxAAA2dH+/5oLAADFjf7/H6j//yhm/f+PPwAAHSb+/z+fAAA9Y
v3/26MAAIma/f9Vlf//LsP+/3EQAQBPGf7/dFQBADLP/P8ZcAAAm7P9/0gqAABm0vz/oYcAAKH//P+xE
///RDf+/4kfAQAnLP7/c4z//2yp/v+ragAA1TH9/69y///dtv7/m9L//ycU/v/XrQAA/dj+/63+AABim
/3/L84AAGys/v9NfAAAJbf//9O1AADAiv//ASYBABTx/v9yKQIAJ2///91kAQCpoP7/JMoAAIh3//9tF
gEApxkAAP2JAQBRlf//T08CAOUW//8fKQEALKX//46kAABLG///iFoBADiW/v9cwAEAfaL//2T4AgAsx
gAAEnECANNV/v9FcAEAb4r+//GDAQCZnf//rD4BACyL/f9DfwEAegX+/3ucAQC/Vv7/XTQCALVBAABFR
AIAewn//6ycAQBqsv//za0BADkJ//8BiQEAr5X+/3bCAQDMfv//B/ECAP7+//8OjQAAbqD+///4AQCtl
///FFcCAK6n//8vYgMABIH//00iAQCIof7/lI///+QzAAAOYQEALNv+/0UrAABmuv3/8bYAAO3I///Fg
wIAhH7///JFAQC/xf3/P/v//wk5/v/yZQAASan+/+6kAAACz/7/A08BAI+7/v++iwEA0Pv9/06lAAAs7
vz/IKoAALLx///9EQEAs0L+/3qfAAAlA///PN8BAOBRAAD7lgEASzH//0zW//8vEv//2yABAHoXAABC0
AEA0EAAADPjAADePf//UFcAANAv/f/5+///oYH9//cQ//+dbP7/Bz8AAENC/v/PuAEAwWD+/3CXAwDDf
///KRgBAHgT//9C/v//zCj//+4RAwDQ3P//UFoBAIGy/v88ogEAopj//2mZ//+6K/7/P0ACAHCA/v+Gq
QAA9a38/7ZsAADQQv//nqkBAGSZ//9z4wAASD7//xwjAQCrlf//sLH//4Yz/v9WcAAAMD3+/8nJ//8LL
/7/LPIBAIpS/v+ti/7/oUv9/wJQ/f8k8Pz/A9X+/6ge//+5SP//LwL+/1IQ///Qhv7/ksMAADEN//8ug
AAAjlL+/96AAgDoTf7/W7QBAKuy/f/zKgIA3if3//4lAQBZGP3/1UcCAMQz+//I1AQAllOr/yfCFf8ul
GX+FMG+/ThU+f3oEfj9NEUC/mDiUf42LAD+9Hns/SRu2f3kprP9JGj4/UCUEP7IT3v+PB7w/sfdNf9PX
Xv/czXy/9doQQD/K5wA8lb9AMAkVAEs6mQBJDRBAbTyHQGAe+cAOzzpALB+NAHmVqwBuqjpAQxM2QFgD
IEBOCRXARSBYAGY24oBwKrsARRIUwKQg8UCwJS7Alw9NgLg3ZQB/s3hAH56gwAcyDgATO3S/xMbzv/10
tD/UDDC/xhbvv8kn4j/yKBp/8MeNv/A9fb+WyA7/xFkeP/aAJD/+YL//5tpFgAnVo3/9Frp/iCfK/6ID
jz+vD+N/mjMif6cYPr+Nl5f/7rvYv9qg7r/FL74/xUU8P/W4Pf/byIFAF9k/v9K3/n/LBDy/xGG9f8RN
Pb/tuT6/ywl+f+/Nvv/pan1/58a+/8Srff/F3b4/1I39/+REfT/Pfn0/+2O8/8lxvH/OkT0/zTk8f+qG
/T/hVTx//UG+f8VifL/yMj3/6ls9f80Cvf/Yzn1//Gu9/+XPvr/gHz0/0Fl8f+WRvX/1Xn0/y+++/+wc
Pb/Fhj+/1Xl+f8Rnvv/lLf5/+YD/v+cv/n/UhD9/zlIAACHWgEA9IX//6mD///zbP7/QyMCABXz+/8C4
P7/sR7+/0g0BwC7OwMAYdIHAAlAAwBzKwkAftEGADXBCgDyiwUAySwKAJTLBwDEoA8A2zAMABazBACzw
///vzgDAMZZ/f/WVQMARnQAAOunBgBa6/v/sRIDAGIFAgDCCgMAEVX7/9bCBAAI5gEAOEQDAK229f/cp
/3/8+D8//2w+P+eyvb/i736/28e9v/Oj/r/xZn1/09FBwCFtvj/C+n8/2gL9P+4afL/xvPz/7879P8Oj
/D/WQ/6/6BB8P9uFvT/7iX3/w3iAgAmZP3/V+0HAPjuBQA1ugsAU4YIAFKODwC4BgwAkzoNAKtmCABUs
A4Ank4OAJuTFQD6hBAAqRkeAGBrEQC4miAAFIQWABp7JABiuiEAGgknANHrJwCpRRwAXGwJALV3CAAvW
fn/G2zy/5X35v87FvX/4q/w/x0b+v/9E/P/8Hv6/20g9/8NNP7/3335/59MBQDscfz/nlkEAHzP+/92b
f7/8235/0BvCwBLCvz/ThIDAMwiAwDTagcAijT//7ybBwCAp///IRMMAAF//f/qPwYAqx73/xCT9P9tI
e3/b7r1/wQ09P/yaff/Ak/9/3hnBgDDRQgAZPYQACDtCQDKGg4A7VQFAMolDgBa/wcAdo0NAFR6CQBed
woA8aoBAISGDgBLjfX/IqAFAHxY//9wlQ4AgJ8AAMbuDgBs7AoAKJkMABGT//8vwgIARVzw/3dF7/8jN
un/60Ho/75O4v/kQ+z/zjDm/3pV+v82vvX/lwz//x7O+P/YeQYARVn6/9pKBgD9k/3/74gAADM89//dD
/7/jqTx/4qJ9v8FMev/Jrn0/zHE5f/G7/T/PKnv/yJL9v+I0+z/glMAABRW8P+isvv/IzDu/3/u9f+xl
/L/GFL4/4Wd7v/mzAQAO/P8/5mzCgCesAoA234aAL6NDwD4mBcAtQsMAG3kFADucgcA8EcQALyMAwBno
g8AVY36/6jQBgBcYvf/cVD9//G79f+sXvn/AKbx/3FoAADVvvL/m2T6/3XS6P9HYe//cM3k/3nh7v+Yh
+X/d1H2/7qU7P/9pPv/CBb2/1iKBAASefr/kmUMANCoAAD1mwwAQKb//0UqDgDIgv7/A8ILAHI+//+A9
wkAM1EAAO9IBgC12Pn/Tn8AADAD8P+6Xfj/ukHz/6MP9f/t6O3/nj///79N8P9IEgAA6X7z/83vAgAIn
QEAabEPAIddCQDh7hMA/QYNACq3GQACKA0AasQRABZyCgD+gxQAn3AEAOl2FwAa0goAzNEYAEioCgAWj
xIAJ/ECAKe/DQDE3AQAQ4kDAGxs+/99FAcAVAvx/5tNBgCa2/r/dBf9/6kLAADIowQAZEP2/9k6CwAUk
/f/YqgIAH8tBgCOUwoAgSz9//jCDwCEhe//OtD4/4jo3v9YPeb/OoXc/x/E4//bu9b/gV7t/y6n5f9VX
OX/K7nZ/5gB4P+uZtr/4VPj/0GJ1f8jqd//euba/w/Y5/80jt//s6Dr/7tD5P8b1/P/JmLl//Rj+f+8s
vD/jOj8/21r/v9PQxIAYbUHANfDFQDffwMAV3cLAGSpCgBz6xQAQNYIAOmsEgAOFAwA074OAP5nAgB0p
gsAM7L7/yr/CQDY8/j/Wz0HAOZM8P8foff/6Dnt/3kJ9f9LpO7/aUoBAL...8AAKwAAAC8EAAA9wcAAG
kNAABGBAAA9g8AAP7///9gCwAA9/3//x0JAABE9///bQcAABcAAAD+BAAAsQAAAKwJAABr+///ZwUAAE
z9//8RCAAAp/r//8EAAAAA////i/n//+Pz///gCQAAOvP//2oDAAClAAAA3v7//+H8///Y/v//xgIAAA
v////M+P//+AgAAET5///q/P//RQEAAGsKAACE7///DxIAAF/5//8zBAAA3vr//0cHAAC9AQAARfb//6
QKAAAhBAAATvH//04RAABL+P//lwQAAKv5//+7BwAAOAAAABz3//9WBQAAQwoAAL3q//9lDQAAMQcAAJ
nr///UDwAAJP7//073//+1DQAAEuj//8EjAAAx1///fBcAAHUBAAB+7f//Wg8AAHD4//+DBwAACPL//4
QIAABxDQAAy9r//7woAABp6P//BQMAAKkFAAAk+///LgUAAFf6//90/f//iBMAALTk//+NCwAARhMAAJ
Db//+rFwAALAcAAFrk//9BHAAAG+z//3kTAADf5v//ARgAADL0///q/P//8g0AAPjk//+cMAAATbz///
M7AAD/7f//7t///2UxAABv7v//vdf//2xTAAApp///5DsAADXy//+I3v//qD8AABHH//+DBQAAAUMAAL
KN//+mZgAAYdb//4fm//+LPAAAjsT//0grAABg4f//rRgAALDp//8IGQAAO97//94nAABB4P//ogwAAB
f8//+XFwAADcL//0tWAAAsuP//ZxoAAEoTAAAU1///EyYAAOjn//+FCAAATgYAAH/v//90DwAAVPv//8
b///8M7///6TQAALys//9hVQAAxsP//zIdAADG9f//OAIAAJsGAADq6///Xx0AAIfm//9QCgAAIAcAAE
Hq///oIQAAMdf//6IhAACw9///dOn//0IjAAC57///7uj//5g3AABnwv//4CoAAF3w///T+v//IQ0AAH
r5//+X8f//gSsAAHK+//8bQAAAydz//3T4///HKwAAgcL//6U9AAAZzv//vxwAAEYAAADD4v//ZiwAAP
La//9xDQAAyQgAADfx//+PAwAA4w0AAPXm///yFwAAZPT//3n5///1FQAAPef//9IJAACuDwAAXd////
oWAADvDQAA7sb//wtOAABcwf//TBUAAK8TAAAS2///hhcAAFIKAADT0v//0z0AAKDO///jCwAAmh4AAI
7M//9+IwAA8gcAAK7N//+RQQAALc7//8wVAAAd+///IAkAAN3j//8fMQAAscH//94+AABNzv//zRsAAO
L1//8nCwAAgt7//8A9AABfUE1YsgoAADw/eHBhY2tldCBiZWdpbj0i77u/IiBpZD0iVzVNME1wQ2VoaU
h6cmVTek5UY3prYzlkIj8+Cjx4OnhtcG1ldGEgeG1sbnM6eD0iYWRvYmU6bnM6bWV0YS8iIHg6eG1wdG
s9IjMuMS4yLTExMyI+CiA8cmRmOlJERiB4bWxuczpyZGY9Imh0dHA6Ly93d3cudzMub3JnLzE5OTkvMD
IvMjItcmRmLXN5bnRheC1ucyMiPgogIDxyZGY6RGVzY3JpcHRpb24gcmRmOmFib3V0PSIiCiAgICB4bW
xuczp4bXBETT0iaHR0cDovL25zLmFkb2JlLmNvbS94bXAvMS4wL0R5bmFtaWNNZWRpYS8iCiAgIHhtcE
RNOmF1ZGlvU2FtcGxlUmF0ZT0iMTYwMDAiCiAgIHhtcERNOmF1ZGlvU2FtcGxlVHlwZT0iMzItYml0Ig
ogICB4bXBETTphdWRpb0NoYW5uZWxUeXBlPSIxIgogICB4bXBETTphdWRpb0NvbXByZXNzb3I9Ildpbm
Rvd3MgUENNIDMyLWJpdCBJbnQgUENNICh0eXBlIDEpIgogICB4bXBETTpkdXJhdGlvbj0iMDowMC42MT
MiCiAgIHhtcERNOmxvb3A9IkZhbHNlIgogICB4bXBETTpudW1iZXJPZkJlYXRzPSIxIgogICB4bXBETT
prZXk9IkMiCiAgIHhtcERNOnRlbXBvPSI5Ny44IgogICB4bXBETTpzdHJldGNoTW9kZT0i0KTQuNC60Y
HQuNGALtC00LvQuNC90LAiCiAgIHhtcERNOnJlbGF0aXZlVGltZXN0YW1wPSIiPgogIDwvcmRmOkRlc2
NyaXB0aW9uPgogPC9yZGY6UkRGPgo8L3g6eG1wbWV0YT4KICAgICAgICAgICAgICAgICAgICAgICAgIC
AgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIC
AgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIC
AgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCiAgIC
AgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIC
AgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgICAgIC
AgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIC
AgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIC
AgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgCi
AgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIC
AgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgICAgIC
AgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIC
AgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIC
AgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIC
AgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIC
AgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgICAgIC
AgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIC
AgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIC
AgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIC
AgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIC
AgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgICAgIC
AgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIC
AgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIC
AgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIC
AgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIC
AgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgICAgIC
AgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIC
AgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgICAgIC
AgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIC
AgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIC
AgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAKICAgICAgIC
AgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIC
AgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIAogICAgICAgICAgICAgICAgICAgICAgICAgIC
AgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgICAgIC
AgICAgICAgICAgICAgCiAgICAgICAgICAgICAgICAgICAgICAgICAgIAo8P3hwYWNrZXQgZW5kPSJ3Ij
8+RElTUAQAAAABAAAA", "format": "wav"}}, {"type": "text", "text": "What do you he
ar in the audio?"}]}, {"role": "assistant", "content": "Please provide the audio
. I need an audio file to tell you what I hear."}, {"role": "user", "content": [
{"type": "input_audio", "input_audio": {"data": "//OIxAAAAAAAAAAAAFhpbmcAAAAPAAA
AFAAAFKwAAQEBARAQEBAQJiYmJiYzMzMzMz4+Pj4+S0tLS0tWVlZWVmxsbGxsf39/f3+RkZGRkaOjo6O
jurq6urrIyMjIyNXV1dXV4uLi4uLt7e3t7fb29vb2/Pz8/Pz+/v7+/v//////AAAAWkxBTUUzLjk4cgR
QAAAAAAAAAAA0CCQEZSEAAeoAABSsFIWYFAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA//MYxAAAAAP8AUAAABKJBsrSCqjIKtZ/f5tNX/uMoaYkAqN
I//OIxBdKVBZOf53gAN/4OA8DBGZ7HEaSkt/iABEuDhhZjFkt+5+DhYy9dB0C8m+4IdWRX//yKGKKkM9
FgwOZzOIxM5C7P//6rrwPhdMAiMWBwVCQGHBaP///+ES/C/uXmEwmKgwBCgwiBRUCGGANnrDvP9t6S3y
fsTohCAiC5h8ApbgUBgILqK7/n95//IoxYr9o70/C1hmxiQYZeuxojkFtCIJf/dcz///ermeGVi9qk1X
vz6DjyQ+/kNuKqdx3RSLkTDMMMMOd//1h+8/5ux3Ws9ZZ7/eF5uqV7QHAgSMY6f9lcDyR1GttA///eee
fP5v/3/f/+/fxt38OXs9d3n3/5/WYLUgiWMQW8wSG4JiUggR260qpZfnKL3/QFwYV//OoxABgzHKWX5v
aQKMgKnkoTAAY1IpZa7byANM2KxoTMeSjQ341xATIABOaoQGyIhhY6b4wGdBhnpcZERmgiZ60Ia0ZCMf
GA0dJDRwExYEMNBzxx03SsOiSAaOGNiCNQNEg4jLwU7ZDeUEmF3UAIyYCEFxlyyBaLBKGAFiSAx0VVeI
QMxUZCBduKwsCwCxGUJIOnA+OVgIHCQFBRHGUdA4IhqLJ6xKTsBybR0GmM4fjFoahCqQkACQGIAAMBCg
CiTWok/ztXZT19VhJBDmGFjKxLIdf8FA73Xki36gSDWW1pm9MzErcmCr7+0Ebl73yypDD4rrafWtu+we
USqSv2/KJ7zAoXYm27XGtPdYhp4sZ2GaCdh2HnacqdpqSvXwwlFhXFFTxilftx6Fx1qY22IP5SrEaBD6
RbrwxL76lUtgWTPrIZu1Ox6VSrkhrSmrjHKV+3BWO/bL7D9tffR1Hkm6OL7rQ3TPZDziKMUckaQ2WLPO
1tnbxuW6+3/kaxIccv//v///Yu24f1h//YwpKTiopclMQAhlv4O+RSXUs8KJEpaDqRgMfEBDFmVGSYZZ
R//N4xB9C7Ba+79nAAIaAOCLzMuFgDiuNkRH4vUzdZqIpc1/wrM20vP7FeUk1DrdR2aGCJyxo1TVqsMv
iXnGkK3ONlbxyibjiM6/+02W6WvXqMHqxmz37u8sIGo4jGqbK32mh1q8zGr+fccML0u5TWu4fhqzZ5ll
f/LeHcaWzqmwrXbV+M3s8tVNZx6Vu7SSqXS6vXoZFT1a3L+d3GW3M5bjhq9zGU3M+Y46z1lZrYY77lfz
qym5uHqWvjVlEDT1WVynepHA0lzpZXelOPJ7tNWltbtml+5a5apqaepav5azpa1NT2bOeVqxS3rV+7S7
5S0W72WczK+dfRWtU//NoxAIxe+LC/ssNFaA4BgAW2fGygwRvzDHN8sLirqACRhXmEm3ZxleAQISJlaq
w4GXvEhXannbbWWLJSITRLko+wnLHWENOBECIUlh+tH4xBBEER16u40XwGjUA42imzSVw6JSqemd61lz
0zOb1joSi1s16bTeZk66qiT0i04lm6/zKaqlFL7Ppi1F5M8leFkmJkS5KShyqpb9nbG13u/ONc/62Fw+
WUeVJcaElQGSpAUmQpYS3pi5ZkeqCHmaid+Z3toTvWIQ/qv1NgNHzDI6JaYiIMxQJ//N4xAc59EqzFsG
ZebMpeEQWaYhkd+mKZiCQABThngDuJMpXiMqhFFVAtQlqGvXeypCeoKoMwNNOo7DqP5Km75SRmcgpaSV
SWejFiV07sUsrp4fpKln8LGSBQ06RYEQwh5al/HW7W1KqazNyUvK5Of5fFn5REx9TNTwHo8yJpLCGkG+
GERwkq0+DpA5hTQQNv4uNkw/hBAIH4bEoQZMMzZqHfxFmY9udkdvbVF4ZQRcdoaY9QnqMLTeV6Ivryls
R+yfU7rvsURLLPjwCB4Xj9DRx6yI6Y8L74KIBhx34iHZGQDAv1m85151hyGwOlrqph9WTukSFsxCjrHS
6//NoxA40tBam7Vl4ATVUNEgQHm4GCFTLQASxgiFvkEIAHM48MFQ5FnVIvGuxjyfKsRZ1mo5iuJyoUNN
EvpcTpYo1ozacqpbnzDM+fPtwYtIL16rWXD6esF7q1n0bNfi1t1184taNv5g1t8W3mv/z61161tbea1r
r4tvNaWfPq1rr/5ra2/nWIT7Vs6//9rfFn1oUb+265/tWtfa3titcPo1rWtWv/+N/4s+tv/5rWtdf5ta
1vV7X/518WtausWt//86tbOvW1vjecQnxv5P4N4+WAiFQbDQE//OoxAZelHaOX5viQBYNn9PTmK1wQEi
wiRI5qT4YuaGeiSRiMhvxUdNtGdTJrcM2Z7T2GQycrGIk6xgbVni1ib8m+4+a7GZphgmRCwaFJ1qMVap
3dZmVFYZ4EBl4cGGSMBg+JCVW1rNE7rxO8DgKGAd44PihgYAl5GOMiZHEKO7BcVnW4KknC1kOuuism+n
SvlYVujKmnxJypc3duy4Ee5EsO50mplbWsQ1FX+Ym70FuA80PTL9OUwJy0eH5RQbxp8MsvlDbtbk0MNh
hhSL0SdtpbCYZx3GpfDmqSMUlyWP5IMKJ/5Gytx+hwDqO3DbW4cdWMQVONgf5QKVOtLqCVWq1NGoNpcY
rffZQxNQtAxxx28ZXA7X4ftO/lKNJzIgtKLeyRcsYdrGNT1NLpXhTWIelVNajkqoK/a9egordW9Y3cmM
JZ2cv2pO7EscR3M01IJdd+Uq2T5XZJYkMfrzzXpe8tFXdl3Vuv8+rUUqu81j3D/9FN/mmLkXRj//yVXa
arypkoCIVBBQDKcvr4HBedYgXH5uM/mHi6LSIZABkUJlxzpmSNXHoquwy2DzAokMH//OYxC5XJFKSX5z
gIBANUkYze+y6ZjB1mJA0jkMhQ5gOwodzh65GpS00y0UgACY4iqqQHZEwYFyQXEQbMbiMsBAKDVXAYAn
dcWDqAZDaFbJGGrvaWlh2Mt9EXRchnzs23e4wRy4wveLsaisodONt9KGDP86LsWHUrPswRpbnupDThY6
bFqjgCQMk5RRRXEfdtuSvXMbSiRUZrJ2HQ7A0ibOrpLZs0HUdmlf9jExnqghymdBlFrtPPWHvk1m5Ar/
o965d52pS1bub0NkWa/DEWetblculMssVLuO7Kw8QTAhzJw7liWc3V3rc6zlUNuH4Vfs0W8u8zwr/NY7
wktBhqRV4jL78N4X6ePyCir1rWMxnZiUNTs/uO9kXySDaOM093eGGOq+7eMtkHJBlBr67x7v+//02dix
ezrEpukAQSA0inbQkC9oLXILBA2SBDAQEAz2JASZTnBy0AGd22ZbJRgS/m/BAYBDB//OYxCxY5G58/5z
gAa6+hgwAHNQyCBObebpmU2mDQEavXJm11AAIm8IMZoIqCIyeeTAweIQAZLBDCjFIrAAjMLAxMExMDgU
AzIgRQltgKBLKX3XGMgBC2jkjTh0CMNgBP5k8kZWrTJ09HHj6fslpG/ts0aJA15xI7cbjYm3Xk0po22l
ajcno5NE2uyxaMPXpA9mTclrOXdfuRPvNtYgFlFR32EvKsR2JldcRg5fbM13tNsVr2qXuOcsgty01e2Y
zZi0Sj0BSSRJWQxNRiR3OzNiS1IaguchCq8qi0MU1nlLnf3rH+pmxnGK8klNr8e712LNhbFBSvZ+eota
uUvc7Eu3b3Sztal79WGb9O+1+MuszmERaxT42KlJldt7mp3LGnuQzWd3HG5lzHV6vvXKsQwmLUMR59NY
8xqf//ref///9vG13KnsAgUJkyyLFWo5IrD2Tbw4EDoHTjDFIOEhBNGNCISImLYRh//OYxCNbvHaSX5v
IAMDm5sBg4QFAQxOSIAww9tElYw8OB/0yYiBhNNodZo4gcrAOSAJQGADQi95dYWRQ3B0sEOIXrIWRUZC
UjmwZhzWgcBm0h/AYQBjxwZzGXp1sqXlMr/ZZAyv4EZ9FHxWDZmsly035uPVJ+DErJ9yIAt0zE4nMS91
G0nWRwNqxfqMT1NTr/xiAMonSuDAkWg2Vw619icOpz00UizKpmDp+llEuhjsOwTAUQfmX1Y1DkQnYDmN
zDO/h+XU8SwdBirX0PETWdQRDyskFOmwd86k3l25QxCTXq85DbqMkq5ySjgpplaNXptpkmZ3MQJDiuJe
W8UwiMtlEDuPL6tDbrRe1L33p5d2Vv/AkCSSOMohh+56lkVI/8XmofjcQrSh1JicdyAt1W0deQwZLIrG
3gnGxq/WHf+aYG78cgaEZ95r8v//7vurlj/9icKhxqXw33sjcjZftipFWVq1XigBB//OoxA9cRHbPHZr
RBLCACpJMOe6AwYZYwOpDLCzHqgEuMMYMsBNGeJCRr1Q4bNEpFtCJ6X4VigUsCkKsgoyMMHTCQQmMCo4
PS14hIQy5S7xEEYUpq4jSnlWdu9BTVGVyh3KsITTam80CJZujVXjWa09Ujqs7WhE4Fbs/ztvM4ExK/1B
UkUBhlnrqxh2Yk2KHHrfeAYAex+4JvyOGJZXcWo8T4wO01uzeMFp4q0qVO1Ty2Am6W59/JidgS87LxSZ
5nc3Yx+lpMozKpVD8eyps+TVikj0Y+H3sed+3LlMec2YiE8yNj6YjBH8e27Gph5HfgualNM9Fyfp2t0L
nuUprKVBXLcpsaZyT44KEj5ICQ6l423rYSrG9ZsPxGZQ0+G2dz8vbR9oRRU800WOTknnbUAOTKX4i8Wo
45K4Mh922RQ9H35kE+pu1yIsFXs6wUA5sta+i/DooCRXjWFAuRiDqf/6r0USu7//TCeaQNwXlHMz+m6m
4VuRw6/SJqagIIAjiEpwqHCMswukGDHQwKFwlCICkJZVGZjblt0RwbpxPBOijR5AgUA/Ih3m4oFGW5ES
W//OIxEFPXGqrG9h4AIs0Y/zsiNDlBfOmyJNMwPp92crST0w9gw5nz2A1Q90hyNzLWeI4SMLbHrGePm+
Zu9YtKxfrNLzUo2Vu231T5vbGoMeaFj1dQolG7cRsqtRWuRcxnhoMDQr5FzPMsISa7ETwsBOFYnXzAKS
J8vnIozNOlQEkZT3LDAL+d4yy3CFIMvRfhtG+rx2nAOWwCILiK0dAjBRqsBIN0OoWguN06fr47oyeJeZ
B2HSeY1heHQqR6JyUhJjCEVaiWRQvEcLqNAsBCTAPxPFydjgBzuZ1ELVeCxGVGAG9BWADwIAA0FuQIkg
I2DnLezLRGjRKMF4mQtxZhiH0CYEJOJSqqIq9p4pHaF+20AG5FmEJKapFGIIGcMAA//N4xBY53FLLHNJ
NeBChs3701Dw4zQHCQEXQBrXIARKDWOwBehc9SaXkg3q9MMoYI3NXebxxKHGvwPDUUm4vq7ficjkDS/o
Ze5bWIetzccDBdHPxb0bGihLNETqMF0q1PFsutXYVuHqrRrbb9jr3SYcmo7Yx78zfvr//+vdSu45LyZ3
wjs/vyd6waFKzhURJCERJpkurRlqTUbLPjGUEVsEwWXLuQubDNkoDQkjuSkidmPJskWpqJPMy+TJqLqS
OSraNItyS7Y0JRBUZ/ZxISwMkSglR1kQk4dTzIMlDdaelJThWFGorP2SGBgwkIKGAYQGB4SAIBjAcWUq
T//N4xB0+g/KrFOsRaRgGcwjEg0NicwCHEOBlDVrIiAVVEwEAMaAoGg+Y4DmZ0hmZDh6HA0ncMAAYBAK
j8WmFABMNg/Ao7GJgPAQDkbkcmcJLMSIQFaSrIXnVHLpmU00PRFlrCk66lHrDL2eJRfDtX0/8xJi8TxA
URZOus4vHQ7jax/aphrBoS3oKPFWaUXC016ozq9TMNSxVdLSkw7KyON2tvnmDpc2tpY0Yjm6h0WwwQBY
4XMAWEM0HQ+w8nZlNU8hxUVNYVGoPJMHkpcxP7cL/7a/+3TRcxKoLcHC1tKHEloYCiN/yTd96OTA3ECA
buL4idJWIBjUlASRC//NoxBIwxBai9tJNQIFHAZkBKbSi5xlg+KQ1S5YKukxJxAnxnhgRIthEmwKBM2f
pnsarXmMpkJrMHcmHYtFYdo4xA6VSSVTlnVZHCoASba+f+SwCAcqvOHFjTlzKM5hEolv16jczXmfVRW5
lT5ZtzOzXD1zfseZn9plEq3UBoY8Go1pGf5ef0W7JHa3cUrknqq1oecCqJeCratyvQi0qqZmPcbPR7Ze
Znmvnkp/Odt7W15TPmapcE1kWNtSQ27mDQsvaZ/GCMiQxOICAxACMyCZKY00psXZM//NYxBothBZ+NtJ
HKLxDhlhEFY7xQZG4wICcbmYQaXwBQaN3LtmrOLmdtrCDzluLGZl6lNn+AMfFJLDJbyIEgSBIEnS8Yqs
pS6zVqoWVZVWquxhgI+Mx+xxjpfkGFUv9VVSjZhRNAUFBaTcb/qggLDCtrDKMKBgTGpcAjYMa0vheaka
kGFdCqpBi1L/16TagKKUAjClG29SjNAI1Uv/X/Xh58uFbjKuBCim5Ld//gpN+s1BO//M4xAsVAZI0fhh
HZL/66hhwElgVAIGJb+xmcBQCPsNYzN6wU1JmvwhX5pSVVX2P9QFhKCp1AKiVYihoGga/JfjH4ikfc9n
PFXYlOrO6HJEAYpflz5BMQU1FMy45OC40VVVVVVVVVVVVVVVV//MYxBYAAAP8AAAAAFVVVVVVVVVVVVV
VVVVVVVVVVVVVVVVV//MYxC0AAANIAAAAAFVVVVVVVVVVVVVVVVVVVVVVVVVVVVVV", "format": "m
p3"}}, {"type": "text", "text": "What do you hear in the audio?"}]}], "stream":
true, "return_progress": true, "reasoning_format": "auto", "chat_template_kwargs
": {"enable_thinking": false}, "reasoning_control": true, "backend_sampling": fa
lse, "timings_per_token": true, "continue_assistant_turn": true, "encapsulate_th
inking": true}
mtmd_group_mergeable_bitmaps: no merging for part index 0
add_text: <|audio>
audio_tokens->n_tokens = 16
add_text: <audio|>
mtmd_group_mergeable_bitmaps: no merging for part index 0
add_text: <|audio>
audio_tokens->n_tokens = 16
add_text: <audio|>

Processing Media Embedding 1 (16 tokens)encoding audio slice...
clip_encode: output embedding shape [1536, 16, 1]
audio slice encoded in 17 ms
decoding audio batch 1/1, n_tokens_batch = 16
audio decoded (batch 1/1) in 23 ms
Processing Media Embedding 2 (16 tokens)encoding audio slice...
clip_encode: output embedding shape [1536, 16, 1]
audio slice encoded in 17 ms
decoding audio batch 1/1, n_tokens_batch = 16
audio decoded (batch 1/1) in 20 ms
Processing Prompt [BATCH] (92 / 92 tokens)
Generating (18 / 2048 tokens)
(EOS token triggered! ID:106)
[12:30:42] CtxLimit:110/65536, Init:0.02s, Processed:92 in 0.24s (384.94T/s), Ge
nerated:18/2048 in 0.31s (58.63T/s), Total:0.57s
Output: Please provide the audio. I need an audio file to tell you what I hear.

Option 2 (sees the images correctly)

***
Welcome to KoboldCpp - Version 1.122.1
For command line arguments, please run --help in the terminal.
Note: The GUI mode is not accessible to screen readers.
***
Auto Selected Default Backend (flag=0)

Loading Chat Completions Adapter: C:\Users\<HIDDEN>\AppData\Local\Temp\_MEI59242\kcp
p_adapters\AutoGuess.json
Chat Completions Adapter Loaded
Auto Recommended GPU Layers: 4
GPU layers is default: Will enable AutoFit for increased estimation accuracy.
System: Windows 6.1.7601 AMD64 Intel64 Family 6 Model 79 Stepping 1, GenuineInte
l
Detected Available GPU Memory: 12122 MB
Detected Available RAM: 47249 MB
Initializing dynamic library: koboldcpp_cublas.dll
==========
Namespace(admin=False, admindir='', adminpassword='', adminunloadtimeout=0, agen
t=False, agent_api_key=None, agent_base_url=None, allow_config_onready=False, an
alyze='', autofit=True, autofitpadding=1024, autoswapmode=False, autoswapthresho
ld=256, baseconfig='', batchsize=512, benchmark=None, blasthreads=6, chatcomplet
ionsadapter='AutoGuess', cli=False, config=None, contextsize=65536, debugmode=0,
 defaultgenamt=2048, device='', downloaddir='', draftamount=4, draftgpulayers=99
9, draftgpusplit=None, draftmodel=None, embeddingsgpu=False, embeddingsmaxctx=40
96, embeddingsmodel='', enableguidance=False, exportconfig='', exporttemplate=''
, failsafe=False, ffncpu=0, flashattention=False, forceversion=False, foreground
=False, gendefaults='', gendefaultsoverwrite=False, genlimit=0, gpulayers=4, hig
hpriority=False, hordeconfig=None, hordegenlen=0, hordekey='', hordemaxctx=0, ho
rdemodelname='', hordeworkername='', host='', ignoremissing=False, jinja=True, j
inja_kwargs='', jinja_tools=True, jinjatemplate='', jinjathink='default', launch
=True, lora=None, loramult=1.0, lowvram=False, maingpu=-1, maxrequestsize=32, mc
pfile=None, mmproj='R:\\mmproj-F16.gguf', mmprojcpu=False, model=['<HIDDEN>:\\<HIDDEN>\\Модел
и\\Google\\Gemma 4\\by Unsloth\\E2B-it-GGUF\\Q4_K_M\\gemma-4-E2B-it-Q4_K_M.gguf'
], model_param='<HIDDEN>:\\<HIDDEN>\\Модели\\Google\\Gemma 4\\by Unsloth\\E2B-it-GGUF\\Q4_K_M
\\gemma-4-E2B-it-Q4_K_M.gguf', moecpu=0, moeexperts=-1, multiplayer=False, multi
user=10, musicdiffusion='', musicembeddings='', musicllm='', musiclowvram=False,
 musicvae='', noavx2=False, noblas=False, nobostoken=False, nocertify=False, nof
astforward=False, noflashattention=False, nommap=False, nommq=False, nomodel=Fal
se, nopipelineparallel=False, noshift=False, noswa=False, onready='', overridekv
=None, overridenativecontext=0, overridetensors=None, parallelrequests=1, passwo
rd=None, pipelineparallel=False, port=5001, port_param=5001, preloadstory=None,
prompt='', proxy_port=None, quantkv='f16', quiet=False, ratelimit=0, reasoningef
fort='default', remotetunnel=False, reqtimeout=600, ropeconfig=[0.0, 10000.0], r
outermode=False, rpcdevice='', rpchost='0.0.0.0', rpcmode='disabled', rpcport=55
51, rpctargets='', run_bundled_agent=False, savedatafile=None, sdaudiovae='', sd
clamped=0, sdclampedsoft=0, sdclip1='', sdclip2='', sdclipdevice=-2, sdclipgpu=F
alse, sdconfig=None, sdconvdirect='off', sdflashattention=False, sdgendefaults=F
alse, sdllm='', sdlora=[], sdloramult=[1.0], sdmaingpu=-1, sdmodel='', sdnotile=
False, sdoffloadcpu=False, sdphotomaker='', sdquant=0, sdt5xxl=None, sdthreads=5
, sdtiledvae=512, sdupscaler='', sdvae='', sdvaeauto=False, sdvaecpu=False, sdva
edevice=-1, sdvramlimit=0, showgui=False, singleinstance=False, skiplauncher=Fal
se, smartcache=0, smartcontext=False, splitmode='layer', ssl=None, swapadding=0,
 tensor_split=None, testmemory=False, threads=6, ttsdir='', ttsgpu=False, ttsmax
len=4096, ttsmodel='', ttsthreads=5, ttswavtokenizer='', ubatchsize=-1, unpack='
', usecpu=False, usecuda=['normal', '0'], usedirectio=False, usemlock=False, use
mmap=False, usemtp=False, useswa=True, usevulkan=None, version=False, visionmaxr
es=256, visionmaxtokens=32, visionmintokens=-1, websearch=False, whispermodel=''
)
==========
Loading Text Model: <HIDDEN>:\<HIDDEN>\Модели\Google\Gemma 4\by Unsloth\E2B-it-GGUF\Q4_K_M\ge
mma-4-E2B-it-Q4_K_M.gguf

The reported GGUF Arch is: gemma4
Arch Category: 50

---
Identified as GGUF model.
Attempting to Load...
---
Using automatic RoPE scaling for GGUF. If the model has custom RoPE settings, th
ey'll be used directly instead!
System Info: AVX = 1 | AVX_VNNI = 0 | AVX2 = 1 | AVX512 = 0 | AVX512_VBMI = 0 |
AVX512_VNNI = 0 | AVX512_BF16 = 0 | AMX_INT8 = 0 | FMA = 1 | NEON = 0 | SVE = 0
| ARM_FMA = 0 | F16C = 1 | FP16_VA = 0 | RISCV_VECT = 0 | WASM_SIMD = 0 | SSE3 =
 1 | SSSE3 = 1 | VSX = 0 | MATMUL_INT8 = 0 | LLAMAFILE = 1 |
ggml_cuda_init: found 1 CUDA devices (Total VRAM: 12288 MiB):
  Device 0: NVIDIA GeForce RTX 3080 Ti, compute capability 8.6, VMM: no, VRAM: 1
2288 MiB
Number of Backends: 3
Backend 0: CUDA
Backend 1: RPC
Backend 2: CPU
CUDA MMQ: True
---
Initializing CUDA/HIP, please wait, the following step may take a few minutes (o
nly for first launch)...
---

Estimating MMProj GPU usage...MMProj Autofit Usage: 941 MB
Attempting to use llama.cpp's automating fitting code. This will override all yo
ur layer configs, may or may not work!
Autofit Reserve Space: 1965 MB
Autofit Success: 1, Autofit Result: -c 65664 -ngl -1
llama_model_loader: loaded meta data with 56 key-value pairs and 601 tensors fro
m <HIDDEN>:\<HIDDEN>\Р?Р?Р?РчР>Рё\Google\Gemma 4\by Unsloth\E2B-it-GGUF\Q4_K_M\gemma-4-E2B-
it-Q4_K_M.gguf (version GGUF V3 (latest))
print_info: file format = GGUF V3 (latest)
print_info: file type   = unknown, may not work
print_info: file size   = 2.88 GiB (5.32 BPW)
llama_prepare_model_devices: using device CUDA0 (NVIDIA GeForce RTX 3080 Ti) (00
00:02:00.0) - 11526 MiB free
init_tokenizer: initializing tokenizer for type 2
load: 0 unused tokens
load: control-looking token:      1 '<eos>' was not control-type; this is probab
ly a bug in the model. its type will be overridden
load: control-looking token:     50 '<|tool_response>' was not control-type; thi
s is probably a bug in the model. its type will be overridden
load: control-looking token:    212 '</s>' was not control-type; this is probabl
y a bug in the model. its type will be overridden
load: printing all EOG tokens:
load:   - 1 ('<eos>')
load:   - 50 ('<|tool_response>')
load:   - 106 ('<turn|>')
load:   - 212 ('</s>')
load: special_eog_ids contains '<|tool_response>', removing '</s>' token from EO
G list
load: special tokens cache size = 24
load: token to piece cache size = 1.9445 MB
print_info: arch                  = gemma4
print_info: vocab_only            = 0
print_info: no_alloc              = 0
print_info: n_ctx_train           = 131072
print_info: n_embd_inp            = 1536
print_info: n_embd                = 1536
print_info: n_embd_out            = 1536
print_info: n_layer               = 35
print_info: n_layer_all           = 35
print_info: n_head                = 8
print_info: n_head_kv             = 1
print_info: n_rot                 = 512
print_info: n_swa                 = 512
print_info: is_swa_any            = 1
print_info: non_causal_type       = 1
print_info: n_embd_head_k         = 512
print_info: n_embd_head_v         = 512
print_info: n_gqa                 = 8
print_info: n_embd_k_gqa          = [256, 256, 256, 256, 512, 256, 256, 256, 256
, 512, 256, 256, 256, 256, 512, 256, 256, 256, 256, 512, 256, 256, 256, 256, 512
, 256, 256, 256, 256, 512, 256, 256, 256, 256, 512]
print_info: n_embd_v_gqa          = [256, 256, 256, 256, 512, 256, 256, 256, 256
, 512, 256, 256, 256, 256, 512, 256, 256, 256, 256, 512, 256, 256, 256, 256, 512
, 256, 256, 256, 256, 512, 256, 256, 256, 256, 512]
print_info: f_norm_eps            = 0.0e+00
print_info: f_norm_rms_eps        = 1.0e-06
print_info: f_clamp_kqv           = 0.0e+00
print_info: f_max_alibi_bias      = 0.0e+00
print_info: f_logit_scale         = 0.0e+00
print_info: f_attn_scale          = 1.0e+00
print_info: f_attn_value_scale    = 0.0000
print_info: n_ff                  = [6144, 6144, 6144, 6144, 6144, 6144, 6144, 6
144, 6144, 6144, 6144, 6144, 6144, 6144, 6144, 12288, 12288, 12288, 12288, 12288
, 12288, 12288, 12288, 12288, 12288, 12288, 12288, 12288, 12288, 12288, 12288, 1
2288, 12288, 12288, 12288]
print_info: n_expert              = 0
print_info: n_expert_used         = 0
print_info: n_expert_groups       = 0
print_info: n_group_used          = 0
print_info: causal attn           = 1
print_info: pooling type          = -1
print_info: rope type             = 2
print_info: rope scaling          = linear
print_info: freq_base_train       = 1000000.0
print_info: freq_scale_train      = 1
print_info: freq_base_swa         = 10000.0
print_info: freq_scale_swa        = 1
print_info: n_embd_head_k_swa     = 256
print_info: n_embd_head_v_swa     = 256
print_info: n_rot_swa             = 256
print_info: n_ctx_orig_yarn       = 131072
print_info: rope_yarn_log_mul     = 0.0000
print_info: rope_finetuned        = unknown
print_info: model type            = E2B
print_info: model params          = 4.65 B
print_info: general.name          = Gemma-4-E2B-It
print_info: vocab type            = BPE
print_info: n_vocab               = 262144
print_info: n_merges              = 514906
print_info: BOS token             = 2 '<bos>'
print_info: EOS token             = 106 '<turn|>'
print_info: UNK token             = 3 '<unk>'
print_info: PAD token             = 0 '<pad>'
print_info: MASK token            = 4 '<mask>'
print_info: LF token              = 107 '
'
print_info: EOG token             = 1 '<eos>'
print_info: EOG token             = 50 '<|tool_response>'
print_info: EOG token             = 106 '<turn|>'
print_info: max token length      = 93
load_tensors: loading model tensors, this can take a while... (load_mode = none)

load_tensors: offloading output layer to GPU
load_tensors: offloading 34 repeating layers to GPU
load_tensors: offloaded 36/36 layers to GPU
load_tensors:        CUDA0 model buffer size =  1407.73 MiB
load_tensors:    CUDA_Host model buffer size =  1756.00 MiB
load_all_data: using async uploads for device CUDA0, buffer type CUDA0, backend
CUDA0
.........................................

SWA Mode is ENABLED!
Note that using SWA Mode cannot be used with Context Shifting!
Context shifting is DISABLED!
Automatic RoPE Scaling: Using model internal value.
llama_context: constructing llama_context
llama_context: n_seq_max             = 1
llama_context: n_ctx                 = 65792
llama_context: n_ctx_seq             = 65792
llama_context: n_batch               = 512
llama_context: n_ubatch              = 512
llama_context: causal_attn           = 1
llama_context: flash_attn            = enabled
llama_context: kv_unified            = true
llama_context: freq_base             = 1000000.0
llama_context: freq_scale            = 1
llama_context: n_rs_seq              = 0
llama_context: n_outputs_max         = 512
llama_context: n_outputs_max_per_seq = 1
llama_context: n_ctx_seq (65792) < n_ctx_train (131072) -- the full capacity of
the model will not be utilized
set_abort_callback: call
llama_context:  CUDA_Host  output buffer size =     1.00 MiB
llama_kv_cache_iswa: creating non-SWA KV cache, size = 65792 cells
llama_kv_cache: reusing layers:
llama_kv_cache:      CUDA0 KV buffer size =   385.50 MiB
llama_kv_cache: size =  385.50 MiB ( 65792 cells,   3 layers,  1/1 seqs), K (f16
):  192.75 MiB, V (f16):  192.75 MiB
llama_kv_cache: attn_rot_k = 0, n_embd_head_k_all = 512
llama_kv_cache: attn_rot_v = 0, n_embd_head_k_all = 512
llama_kv_cache_iswa: creating     SWA KV cache, size = 1152 cells
llama_kv_cache: reusing layers:
llama_kv_cache:      CUDA0 KV buffer size =    13.50 MiB
llama_kv_cache: size =   13.50 MiB (  1152 cells,  12 layers,  1/1 seqs), K (f16
):    6.75 MiB, V (f16):    6.75 MiB
llama_kv_cache: attn_rot_k = 0, n_embd_head_k_all = 256
llama_kv_cache: attn_rot_v = 0, n_embd_head_k_all = 256
llama_context: enumerating backends
llama_context: backend_ptrs.size() = 2
sched_reserve: reserving ...
sched_reserve: max_nodes = 4816
resolve_fused_ops: resolving fused DeepSeek V4 HC support:
resolve_fused_ops: fused DeepSeek V4 HC pre enabled
resolve_fused_ops: fused DeepSeek V4 HC comb enabled
resolve_fused_ops: fused DeepSeek V4 HC post enabled
sched_reserve:      CUDA0 compute buffer size =   600.89 MiB
sched_reserve:  CUDA_Host compute buffer size =    88.90 MiB
sched_reserve: graph: nodes = 1496, splits = 2, input objects = 5, input tensors
 = 10
sched_reserve: reserve took 61.50 ms, sched copies = 1
Threadpool set to 6 threads and 6 blasthreads...
attach_threadpool: call

Attempting to apply Multimodal Projector: R:\mmproj-F16.gguf
clip_model_loader: model name:   Gemma-4-E2B-It
clip_model_loader: description:
clip_model_loader: GGUF version: 3
clip_model_loader: alignment:    32
clip_model_loader: n_tensors:    1411
clip_model_loader: n_kv:         38

clip_model_loader: has vision encoder
clip_model_loader: has audio encoder
clip_ctx: CLIP using CUDA0 backend
load_hparams: projector:          gemma4v
load_hparams: n_embd:             768
load_hparams: n_head:             12
load_hparams: n_ff:               3072
load_hparams: n_layer:            16
load_hparams: ffn_op:             gelu_quick
load_hparams: projection_dim:     1536

--- vision hparams ---
load_hparams: image_size:         224
load_hparams: patch_size:         16
load_hparams: has_llava_proj:     0
load_hparams: minicpmv_version:   0
load_hparams: n_merge:            3
load_hparams: n_wa_pattern: 0
load_hparams: image_min_pixels:   73728 (custom value)
load_hparams: image_max_pixels:   73728 (custom value)

load_hparams: model size:         939.89 MiB
load_hparams: metadata size:      0.62 MiB
load_tensors: loaded 211 tensors from R:\mmproj-F16.gguf
get_dummy_batch: warmup with image size = 768 x 768
clip_ctx: CLIP using CUDA0 backend
load_hparams: projector:          gemma4a
load_hparams: n_embd:             1024
load_hparams: n_head:             8
load_hparams: n_ff:               4096
load_hparams: n_layer:            12
load_hparams: ffn_op:             gelu_quick
load_hparams: projection_dim:     1536

--- audio hparams ---
load_hparams: n_mel_bins:         128
load_hparams: proj_stack_factor:  0
load_hparams: audio_chunk_len:    0
load_hparams: audio_sample_rate:  16000
load_hparams: audio_n_fft:        512
load_hparams: audio_window_len:   320
load_hparams: audio_hop_len:      160

load_hparams: model size:         939.89 MiB
load_hparams: metadata size:      0.62 MiB
load_tensors: loaded 273 tensors from R:\mmproj-F16.gguf
get_dummy_batch: warmup with audio size = 3000
init_audio: audio input is in experimental stage and may have reduced quality:
    https://github.com/ggml-org/llama.cpp/discussions/13759
Starting model warm up, please wait a moment...
Load Text Model OK: True
Chat completion heuristic: Google Gemma 4 (E2B and E4B)
Embedded KoboldAI Lite loaded.
Embedded API docs loaded.
Llama.cpp UI loaded.
======
Active Modules: TextGeneration MultimodalVision MultimodalAudio
Inactive Modules: ImageGeneration VoiceRecognition NetworkMultiplayer ApiKeyPass
word WebSearchProxy TextToSpeech VectorEmbeddings AdminControl MCPBridge MusicGe
n RouterMode
Enabled APIs: KoboldCppApi OpenAiApi OllamaApi AnthropicApi
Note: For third party Ollama API Emulation, you should set the port to 11434.
Starting Kobold API on port 5001 at http://localhost:5001/api/
Starting OpenAI Compatible API on port 5001 at http://localhost:5001/v1/
Starting llama.cpp secondary WebUI at http://localhost:5001/lcpp/
======
Please connect to custom endpoint at http://localhost:5001



Input: {"n": 1, "max_context_length": 65536, "max_length": 1536, "rep_pen": 1.05
, "temperature": 0.4, "top_p": 0.92, "top_k": 100, "top_a": 0, "typical": 1, "tf
s": 1, "rep_pen_range": 360, "rep_pen_slope": 0.7, "sampler_order": [6, 0, 1, 3,
 4, 2, 5], "trim_stop": true, "genkey": "KCPP2020", "min_p": 0, "dynatemp_range"
: 0, "dynatemp_exponent": 1, "smoothing_factor": 0, "smoothing_curve": 1, "nsigm
a": 0, "banned_tokens": [], "render_special": false, "logprobs": false, "presenc
e_penalty": 0, "logit_bias": {}, "adaptive_target": -1, "adaptive_decay": 0.9, "
stop_sequence": ["<turn|>\n<|turn>user"], "use_default_badwordsids": false, "byp
ass_eos": false, "messages": [{"role": "user", "content": [{"type": "image_url",
 "image_url": {"url": "data:image/jpeg;base64,/9j/4AAQSkZJRgABAQAAAQABAAD/4gHYSU
NDX1BST0ZJTEUAAQEAAAHIAAAAAAQwAABtbnRyUkdCIFhZWiAAAAAAAAAAAAAAAABhY3NwAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAQAA9tYAAQAAAADTLQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAlkZXNjAAAA8AAAACRyWFlaAAABFAAAABRnWFlaAAABKAAAAB
RiWFlaAAABPAAAABR3dHB0AAABUAAAABRyVFJDAAABZAAAAChnVFJDAAABZAAAAChiVFJDAAABZAAAAC
hjcHJ0AAABjAAAADxtbHVjAAAAAAAAAAEAAAAMZW5VUwAAAAgAAAAcAHMAUgBHAEJYWVogAAAAAAAAb6
IAADj1AAADkFhZWiAAAAAAAABimQAAt4UAABjaWFlaIAAAAAAAACSgAAAPhAAAts9YWVogAAAAAAAA9t
YAAQAAAADTLXBhcmEAAAAAAAQAAAACZmYAAPKnAAANWQAAE9AAAApbAAAAAAAAAABtbHVjAAAAAAAAAA
EAAAAMZW5VUwAAACAAAAAcAEcAbwBvAGcAbABlACAASQBuAGMALgAgADIAMAAxADb/2wBDABALDA4MCh
AODQ4SERATGCgaGBYWGDEjJR0oOjM9PDkzODdASFxOQERXRTc4UG1RV19iZ2hnPk1xeXBkeFxlZ2P/2w
BDARESEhgVGC8aGi9jQjhCY2NjY2NjY2NjY2NjY2NjY2NjY2NjY2NjY2NjY2NjY2NjY2NjY2NjY2NjY2
NjY2NjY2P/wAARCAIAAgADASIAAhEBAxEB/8QAGwAAAwEBAQEBAAAAAAAAAAAAAAIDBAEFBwb/xAAcEA
EBAQEBAQEBAQAAAAAAAAAAAgESAxEhEzH/xAAaAQEBAQEBAQEAAAAAAAAAAAAAAQIDBAYF/8QAGREBAQ
EBAQEAAAAAAAAAAAAAAAECERIh/9oADAMBAAIRAxEAPwAAD918sAAAAAAAAAAAAAAAAAAAAAAtGLSETp
KlaSpiuuUqSpWkqcq75SpKlaSpzrtlKkqVpKnKu+U6SpWkqc675SpKlaSpzrtlyVZSlWWFqkqSnKko46
VlSU5UkcdKSpKcqSjjpWVJTlSRy0pKspSrKOOlJdcl1HJ0AI1HQAjUdADLToARY6AGWnQAjUAARQAAAA
AwAfVPzgAAAAAAAAAAAAAAAAAAAAAFoxaQidJUrSVMV1ylSVK0lTlXfKVJUrSVOddspUlStJU5V3ynSV
K0lTnXfKVJUrSVOddsuSrKUqywtUlSU5UlHHSsqSnKkjjpSVJTlSUcdKypKcqSOWlJVlKVZRx0pLrkuo
5OgBGo6AEajoAZadACLHQAy06AEagACKAAAAAGAD6p+cAAAAAAAAAAAAAAAAAAAAAAtGLSETpKlaSpiu
uUqSpWkqcq75SpKlaSpzrtlKkqVpKnKu+U6SpWkqc675SpKlaSpzrtlyVZSlWWFqkqSnKko46VlSU5Uk
cdKSpKcqSjjpWVJTlSRy0pKspSrKOOlJdcl1HJ0AI1HQAjUdADLToARY6AGWnQAjUAARQAAAAAwAfVPz
gAAAAAAOA6HAg6Ppfo+hw31z6X6Pp1eG+j6X659OnD/R9J9c6OnFPpa0vRdpOrIK1KtNWp1rna65haSp
Sk9c7XbMSpOsVolY52u+YhWJVjRWJ1LnXbMZ6xKpatlOoc67ZZKnU6nWzYT3zcq7ZZpnVJnVc8z5DK1O
Z1ScPkHyUca5OKTgyT5g5WOziklzD5iONh5UlPD4OVisqTqOapmo42LTpvqWU70OfFPrv1P679ZXh/rv
0n0fUa4f679J9d+stcM6X679ReOuldZaddcdRQAEUAAAAAMAH1T84AAAAADjrmoOOBwV3659c+ubqLx3
659c3XPqda479H0n1zdTq8P9c6JuudJ1eH6c2idF2k61Mm3S7rm65usWusy5pdd1xztdZCaXcU0u4xa6
yJ7hNlbcc2XOusiGyTYaNlzYYrrGbYJsNewX+bnXaM2eZshf8Am7wyVHINkq8O8jlU8k2Yfl34jnYXMN
mD478HKx3DYV1HOw+abNT+u/RysVzXekvruUjHFfrualmmzUOKZps1LNNmsrxT67mp5ps1k4fNd+kzTY
i8MbCYbGVNjpcMigAIAAAAABgA+qfnAAAAAA0um0uoRzS67pdRqObrm6N0u6y3IN1zdc3S7rPWpHd1zd
Lul3U63Ibac2ibpdpnrUh9pzpPac6S1qZV+ufSfXfrFrpIYOOsWukgHx134xa6yF+OcqfHeWK6SJcjhb
l3hiukQ4H82jh3IZrpGX+Y4at8y7DJWfgcr7DmyMVHlz4rsubKOdifwfD7hdwc7HHHdc0YsH0fS7rm6j
nYf67lJdO5QxxbNNmo5ps1k4rmmzUs02aynFc02anmmzUOKZruaTNNmsnD4bCYbGQ+GwuGxAABAAAAAA
MAH1T84AAAAAGk02l1KQul13S6zXSF3S7ru6TdYrcg3Sbo3S7rNrpIN0u65uk3WbW5Hdou05uk2mbW5D
bTmUntOZTFrpMr5ps1HNUzWbW5FMNhMPjNrchsNmOYpmM2tyOZh8l3MPksVuQuSbIPkqZDNbiWQbPNbI
PnmzW4zbBNhs3zJUItZNgmy1VCeyMVn2S7i+yTcRixDcLuK1idYMWJ6XT6nozY5uk3Xa1PdGLHd13KS2
ncpGfK2afNRzTZqM8WzT5qOafNZTiuafNSzT5rKcUzT5qeabNZTimHxPD4yh8PhMNiI6AEAAAAAAwAfV
PzgAAAABzS6bSalWE0mn1OmK6Qu6TdNWp7rFdZHN0m67up7rFrpIN0m6N1OtYtdJHdom05up7TFrrIba
cmk9pyaYtdJlpnVJ1CdVnWetTK86pKUqynW5FZUnCSrOM9akNOKzLk4rMo1IJlWYdmVphlqEmFJ81Jha
fNGoy15p1DdUI1CDFUJVLZUI1Iyy1KVY1VKNYM8Z6xKsXrEqE4hSdK0jSM8TrUq09alWjNha13KSrXco
ZsXzT5qGapmss2LZp81GdUzWWbFs0+ajOqZrLNiuafNSnVMSs2KYfE8Ulms1TDYTD4yy6AEAAAAAAwAf
VPzgAAAABzSUfU6SrCUnR6TpzrrCVqdaetSrXOu0ha0la7Wp1rFrrI5Wp1rtalWudrtIK1OqFanVOdrr
IKoTSdU5FfrFrrMtcavGssa0RrPWvLTC0IQvB1eLwvGIxjRGJ1eKRi8SSMaIlF4aJWiBErxCKIhePN2I
aI80VmvzQuHoX5s9wDBcIXLdcM9yIxXKN413LPcicZbxC8arxnvA4zWhbRbPYnEb1C9VvWe9E4nVOzSV
7+uzSJYvOqTqE6pOpWLF51SdQnVJ1msWLzqk6hOqzrNYsVnVJ1KdUnWWLFZUlKVJZrNVk+JypjLFdACI
AAAAAGBeh0+pfncMC9DoOGBeh0HHdTo20nWpWswlJ0etSrXOu2YStSrVKSpztdswlalWqViVY5Wu+YSt
SrVKxKpc7XbMTrU6pSpSqHO12zE6oRQqBEOdrtI0eetPnrP5w0+cJ1eNHm0+aHnDT5ydOL+eNPniPnLV
5yHFfPGnzlLzlq88QU85afOE/PGrzwU/nDT5+ZPPGnzBH082b0hv8ARm9MBg9IZvSW/wBMZfTAYfSWb0
xu9MZfSQYvTGb0xt9JZfSQY/Rm9Gv0lm9IE4yems3prV6QzekBxluv12aFwJgLFJ1WdSmFJlmudis6rO
pTKk4zWLFZ1WdRnFZxmudis6pOpSrLNc7FZVlGVJ1lirSpiU6plM1zpgXodIhgXodAYF6HQF6HSXQ6fT
dePyr0Okuh0dPKvQ6S6HR08qbRN0u0XdZtamRuk3Xd0u6xa7ZhdT0+l1ztdcxPcT3Ftwu452u2Yhsk2V
9kuy511zGbYJsNWwXYc67ZY9h2PP8AWjYdjzYrrHPOGnzgRDREIrvnDT5yWIaIgD+ctPnKcS0xIHiWnz
xKJaYwFfPGmMRjGiMBfzaPNCF4AejP6NFoWDL6YzemNd4z3gMfpjNctt4zXIMfpLN6S3XLNcgw+ks3pD
fcM9wDz/SGb0h6Nwz3APOvz/XMhqvzcyAqWQfIVyDZDLFTyT5J8k2SjnXMw+YMw2YyxY7imEw2MsWKYf
NTzTZrLFiuafKRzTZScc7Feh0l0Ok4nFeh0l0OjhxXodJdDo4cJ0Okuh0/f68/lXodJdDo6eVeh0l0Oj
p5V6c+p9D6lqzJt1zdc+hi11kDjoYtdJC/HPh/g+MWusiey5sq8jliusiOw5wvwOGK6Rm4NHmvwafNiu
kLELxBohaIRXIhoiBELxACJXiXIlaJA8SvGEiV4wDxi8YnGLRgLQvCMLQAtC17RsGa8QvGm8RvAZbxC5
a7xC5BjuULlsuUbkGK4Z7hvuELgGC4QuG+4RuAeffmXhrrzLwDPw7wvwOEYqOS7yryOWWan8d+H+OfEY
rjoDLFjrv0o+ozYf670n9HScYsU6HSfQ6TicU6HSfQ6OHFOh0n0OjhxPodJdDp+z1x8q9DpLodHTyr0O
kuh0dPKvTuallGzUtamVPpsTzTZrNrch3ccw2MWukg+O/Hcw+Yza3IXJd5PkmyWK6SJ5DuQtkGyGa3EM
8zz5rZCk+bDcTmFZhSYVmBSTC0y7MKzACZVmRMrTICZWnHJlScA04tOEnFZwFJWlKVZAUjS1JUCFYjWN
FYlWAz1iNS01idSDJUpVLXUo1IMlSjUNlQlUAxVCVQ3VCVQDBXmTYba809gGXYc2GnYLsIzWfkvK+yXZ
Rmo7jnxTcLuIzYnuOG0uozY5uubo0m6jNju650XdLtJxninQ6S6HScTivQ6S6HRw4r0Okuh0cOJ9DpLo
dP0useVeh0l0Ojp5V6HSXQ6OnlbKPms+UpOnVmWjNPOozqs6z1qRXD4nKss9b...gTy0+bT56y+bRGie
Wzz1p86YvPWmKE42+dNPnTD500RQnHoedtPnbzotpiwej52tnowRa2egjV2O2fLd7Bo7HSHbvQL9DpHp
3oFenfqXTv0FPrv1PNNmgYOO4AA1wHfrn1zdL9A/1zon1zoFOh0l050CvQ7R6c7BbsdodubYL76I+lk3
0Suwc9LZvSjXbPdIE9KZvTVbpnvU6I+ms3o0XrPZ0ZvRm9MarxC8T0rH6Szekttyz3Kehh9IZ7j9b7hC
o/T0MvA4aOBwehn4HDRwOD0M/A4aOBwehL4Ph/g+NPb5J8Hw/wfA8k+D4f4PgeXJz9WjE5z9WjBLlWGi
EIXhWbleF41nhaNGblpjWiKZY1aNGeNcUvFMcUtFDFjdFrxbBFrxas1vi1stgi1c9BlsyzZbJlnywacs
2WzZZ8oGjKNlM+UfKBfKNmo5R80Fc02almnzQUw2J4fAd0uu6TQG6XdG6TdB3dLtObpNoDbRdom0TaBT
bLtp7RNsFtsu2jtk2wX20rtLfROrA92jdFq06pijlUjemqkq1m1SXqNqVqdM2iFYjeNFJVjN0rNco3LV
Up1LN0MdwjUfrbUJ7H6z6GXgcNPA4T2M3A4aeBwexm4HDTwOD2PO+D4p8Hx636nlP4PinwfA8p/B8U+D
4HkmYrOFzFJwS5PK0pyeVYuVpVnUZUnRzuV51aaZp1WaGLGmaVmmWaUmlc7GubWm2KbVmxixtm1Z9GGb
Un0VituWplsU2pNiNmWpNsk2pNg1ZR8pmmlZoGjKPmoTqk6C+afNRnVJ0FcUlKVJB2k9PSdAXdJuu1qd
aDm6TaFanWgNom05VJVQH206slWnVgptp7aVWnVgtvonto16F20ortkqk9su0xVPtJ7rm0Xdc7QbpNd3
S6xapNJuKbjm453Qjsp7LRsl2WLpWbYJsNWwXYc7pWbgcNPA4T0M3A4aeBwehm4HDTwOD0PE+D4f4Pj9
N+35J8Hw/wfA8k+D4f4PgeSZh8wZhswS5dxTCYfFcrk+HzU8Nmjlcq5qmUhmnylcrF8o+Uz5RspXKxpy
z5bLlmyxyrZnopPoxZZ59Fc63zas2wzas2I2zas2xza00DXNLTTJNKzQNc0pOs00tOg0Tqs6zzq06C8q
yjK0gKSpWkaBOtSrT1qNaBa1OqdrUaoBVI1QqkqoBVpVblUjVgerSq06tKrBSvQvbPXo52lGjsdIdu9O
VVXofU+nfrlap/rjn11ytUfB8dd+OV0E5HKnLvLldKjwOF+HeHO6Vn4HDTwOGfQzcDhp4HB6GbgcNPA4
PQ/MfB8P8AB8ftPo/JPg+H+D4HknwfD/B8DyT47mG+D4rNy5hnHRx1l3HfpR9Vx1D/AF3pP6OlcdRbp3
KR6HSuGov27ls/Y7Vx01f0NPoyf0NHorjXoRa0WwRa8WI3xa8WwRbRFg2xS0UxxS8UDZFLxrJFLxoNUa
tGs0avGg0wtCELwAtG1rQsEb1G9UvUL0CXqF0e9QugJdI3Tt0hdALtC7F2z3YO3aN2W7QuwPXo5ls1+j
s2lGvLNlMs2pNOOqrTlGzUJpSdcdVVcPic6pLhqqfMNmOTik4460oyTZJplSZcNaVPIPkKTCmQ460rPw
OGngcM+lZuBw08Dg9DNwOGngcHofjfg+H+D4+ifVeSfB8P8HwPJPg+H+D4Hknxz4p8LuDOskDuua08+s
uOfRpd1Xn1l36OibpdpXDUU6c6T2i7SvPqK9udo7ZdtXDS/Zo9GTbNHorhXoxbRFvO87afOxl6EW0RbB
520+dA3RTTFMPnTT50DZFNMaxRTT56DZGtEayeetPnoNULwz+bR5gLQtf0Z/QEL1nvVr1m9NBK9ZrpX0
1mugJdM10p6UzelAS7Z7s3pTN6WDl2z3Y9LZvSwdv0NNsl+n6aLSq3Tas0xxa0U8+lbJpWdZYpeNcNVW
idWlCNXh59VVZWnE4xaMefWlPMqzLkSvEvPrSiYVyPw0QtMfjz60qHA4aOBwz6Vn4HDRwOD0M/A4aOBw
eh+C+D4YPqn2HwvwfDAPhfg+GAfC7hNxTSaMaT0un0mq8+oTSbqm4TcaebUT3S7p9wm4rz6hNom0fcJu
K82oTaJtn3CbivPqF23Ysu47GNPPqNXnbT52y+eNPngzxr87afOmTzafMONnnTV50xeetPnocbfOmrz1
h86afOhG7z1q89YPOmnzsG/wA9afNg87afP0Bb0ZvTT+ls/pYJ+msvpqvpTN6Ugl6ay+lLems/pp0Q9K
ZfSmj0ZvQ6M/pTL6U0+mM/ph0ZPS2b0tr9JZvSDoyXf6eLFx+miGdaVaKaIpGIafOHn1pVY1ojUoloiX
m1VVhphGJaIl5tVpaGiMSjGiMebVVWJaYlHzxojHn1VWiV5j8Shon/AB5tVpzgcHDHQnA4ODoTgcHB0f
OA6H2D67rgdAdcDoDrmk0+l1WNJ6XcPpdxXDSe4TcV3Cbi9cNJ7hNxXcJuL1w1Etwu4ruE3F68+oluE3
Ftwm4vXDUR3HYw+47GL1wuVIxohGMXg6z5XhohnheF6nGmNaI1ljV40Z41xTRFMcUvFKnG2KaIthil4s
Rvi2iPR58WvHorLTdoXZa9EatB26Z7o1UjVM9CXqF6peo3qdVG0LXtGmejPeM9y1ViNSnoZLlC4bKlG4
Z9KxVH6aIWqDxDOtDkQ0RAiFohw1pXYleJciV4l59aU0S0RJIleJefVU8Y0RiUYvGOGq0rGNEYjGLxjz
6qrQvP+IwtP+OGlMAGAAAAAAfOQ6H2D6zrgdAdcDoDrml02uaM0mk1TS7iuOk9wu4puF3F646T3Cbiu4
XcXrjqJbhdxXcLuHXHUS3C7iu4XcXrjqI7js4fcE4vXK5POKyScVlesXKkrSlKkr1ixedWnWedVnVZsa
ZpaKZZ1WaVmxrmlotjmlJtWK2za0+jDNqz6DNaqtOrS2ybaVD1SdUXaJtMWq7WpVru6TdYtCUnSmk1i1
UqxKpX3CbLN0M9SlUNWyTYYulZKg8QrsHmHO6CxC0Q7MLTDjrSuRK8SJlWZcdaV2JWiSzK0y46qmjFow
k4tOOOqp4xecTnFZxw1VVhWf8AEpVlx0pgAyAAAAAD50HQ+ufVdcDoDrgdAdcLpnNGaXS7h9LuL1zpNw
u4puF3F65Um4XcU3C7h1zsT3C7iu4XcXrlYnuF3Fdwu4vXOxLcGYpuDMOuVyJxSS5h8a6xcnk8kw+L1z
sUnVJ1HNPmqxYvNKTTPlHymnOxpmjzbLlHy1YrXNqT6MeWfLVitW+jm2z/ANB2lZW2i7SfQ6crVPul3X
Prn1ztV3S66HK1Sbjmyp8HxzuhHZc2F+Rw53Ss3B5hbg0w5XSkmFZg8wpMOV0FmVJk0ypMud0rkyrMiZ
UmXK1XZxWcLOKzjlaGnFJws4pOOdU8q4nKmf45VXQAyAAAAAD52HQ+tfUOB0A4HQDjmmcEpdKdz4MUm4
5uH+OfF6xSbhdxT458OudifxzcU+OfF6xYnuObinxz4dYsS3BmKfHPi9YuXMx3Hfjq9c7kYbCutSuVhs
02aT6PrUc7Fco2Uj07005WLZRstn6d7VzrTlu5bN2P6NOVa+3ctlz0Pls6RoyjdM+UfKcdVVs13NTzT5
rjqh8dcw2OOqruY7ku5h8ly1pScmyFMk2Q460qWQfIVyD5DjdKlkHyFcg2QxdKTJPknyT5LF0FmTzJsk
+S52jmYfMGYfMYtV2cPmOZhsxi0PJ8Jh8c6roAQAAAAAHzwOh9W+m64HQHXA6A644ZwRxwznw6yX458P
8AHPi9Qvxz4f458Os8J8c+KfHPh1nhPjnxT458Os8T+D4p8c3F6zcp/Abcc3GpXK5KHdLrUrlY79c+ub
pd1qONh+nOibRdpuOVivQ7R2nNtqOVW7HbPtub6NRxrXPopNsU2rNsaZbJpSaZZpaacNVWmdUnWedWnX
DVVaVJTlWXn1VUnFJws4tMuGtKJlSYdmVphw1pSTB8haYNkON0qOQbIWyHchj0qWSfJUyXclm6CZJsw2
SbJToXMNmO5juYzaDMNmDMdzGbVdw2OY6yOgBAAAAAAfPQ6H1L6TrgdAdcDoDrgdAOB0Khfg+GAF+D4Y
fDqcJ8Hw/wfDpwnxz4f4Ph04T45uKfHNw6lyluE1WsT1qVx1CaTT6TW446hd0m67uk3W44ag2ibTm6St
bjjqG2ibZNom1rUcNKbZN9EtrSbWtxx01xa8Wweda0RTGmG6KXimKKafPXm0rXGrxrL560Q82q00wvCH
m0Q8+qq0YvEp+eNHnjza0qkSvEFjGiJebWldiDcKxOH5xwumkOHeFuRynoS5HKvI+J6E+XeVPg+HQnwf
D/AAfE6F+O/HfgAAOoAAAAAAAAPnwAfUvowAAAAAAAAAAAAAAAAAAAAAOa65oVOiUeiU3HHSep0pqdNR
w0Sk6UpOm44aT0lH0lNxw0nqeqanrccdEpOlKTpuOGj+bRDP5tEMaYafNp82bzafN5tq0ebT5s3m0+by
7aafNp82bzafN5tK0ebT5s3m0+bzbaafNo82fzaPN5tK0wckHeeqAAgAAAAAAAAAAAAAAAAAAAAAPnwA
fUvowAAAAAAAAAAAAAAAAAAAAAOa65oVOiUeiU3HHSep0pqdNRw0Sk6UpOm44aT0lH0lNxw0nqeqanrc
cdEpOlKTpuOGj+bRDP5tEMaYafNp82bzafN5tq0ebT5s3m0+by7aafNp82bzafN5tK0ebT5s3m0+bzba
afNo82fzaPN5tK0wckHeeqAAgAAAAAAAAAAAAAAAAAAAAAPnwAfUvowAAAAAAAAAAAAAAAAAAAAAOa65
oVOiUeiU3HHSep0pqdNRw0Sk6UpOm44aT0lH0lNxw0nqeqanrccdEpOlKTpuOGj+bRDP5tEMaYafNp82
bzafN5tq0ebT5s3m0+by7aafNp82bzafN5tK0ebT5s3m0+bzbaafNo82fzaPN5tK0wckHeeqAAgAAAAA
AAAAAAAAAAAAAAAAP/2Q=="}}, {"type": "text", "text": "\n\nWhat  do you see in the
 picture ?"}]}], "continue_assistant_turn": true, "stream": true}

Processing Prompt (13 / 13 tokens)
Generating (191 / 1536 tokens)
(EOS token triggered! ID:106)
[12:11:34] CtxLimit:238/65536, Init:0.00s, Processed:13 in 0.02s (619.05T/s), Ge
nerated:191/1536 in 3.17s (60.27T/s), Total:3.19s
Output: The image provided is mostly **unclear and appears to be a very blurry o
r low-resolution photograph, possibly of a piece of art, a texture, or a natural
 scene.**

Here's a breakdown of what I can generally observe:

* **Color Palette:** The dominant colors seem to be shades of **brown, beige, an
d perhaps some muted greens or yellows.**
* **Texture/Pattern:** There are visible textures that suggest something organic
 or layered, though it's too indistinct to identify precisely.
* **Overall Impression:** It looks like a close-up shot of a surface, possibly f
abric, bark, or an abstract painting.

**However, without a clearer image or more context, I cannot provide a specific
identification of what the picture *is*.**

If you can provide a clearer version or tell me what kind of image this is suppo
sed to be, I would be happy to give you a better answer!

Zontomoka5934 · 2026-09-29T09:57:53Z

Zontomoka5934
Sep 29, 2026
Author

mp3
speech.mp3

smal image

0 replies

LostRuins · 2026-09-29T13:27:30Z

LostRuins
Sep 29, 2026
Maintainer

I think 32 tokens is probably not enough for a coherent image. Could you try removing --visionmaxtokens --visionmintokens and --visionmaxres and just use the automatic defaults? Try a simple larger image, it works for me.
Your audio file seems too short and its in a different language. Could you try the provided image and .wav file instead?

test_audio.wav

0 replies

Zontomoka5934 · 2026-09-29T15:16:45Z

Zontomoka5934
Sep 29, 2026
Author

Thank you for your response!

I removed the --visionmaxtokens, --visionmintokens, and --visionmaxres flags, but unfortunately, it didn’t help:

cat

...
Ftof8AC2sHf0f3rH6P/9k="}}, {"type": "text", "text": "\n\nWhat do you see in the
picture?"}]}], "continue_assistant_turn": true, "stream": true}

Processing Prompt (1 / 1 tokens)
Generating (74 / 1536 tokens)
(EOS token triggered! ID:106)
[18:09:27] CtxLimit:216/65536, Init:0.00s, Processed:1 in 0.05s (21.28T/s), Gene
rated:74/1536 in 1.22s (60.51T/s), Total:1.27s
Output: The image provided is mostly **blank or contains a very small, indistinc
t mark**.

There is a single, somewhat blurry shape in the center that resembles a stylized
 letter or symbol, possibly part of a larger design, but it is too unclear to de
finitively identify.

If you can provide a clearer image, I would be happy to give you a more accurate
 description!

test.wav

...
+ulMQU1FAwAJCAAEAAAAAAAA=", "format": "mp3"}}, {"type": "text", "text": "\n\nWha
t do you hear in the audio?"}]}], "continue_assistant_turn": true, "stream": tru
e}
mtmd_group_mergeable_bitmaps: no merging for part index 0
add_text: <|image>
add_media: preproc_out has 1 entries, grid_x = 0, grid_y = 0, has_overview = 0
image_tokens->nx = 121
image_tokens->ny = 1
batch_f32 size = 1
add_text: <image|>
mtmd_group_mergeable_bitmaps: no merging for part index 0
add_text: <|audio>
audio_tokens->n_tokens = 94
add_text: <audio|>

Processing Media Embedding 1 (121 tokens)encoding image slice...
clip_encode: copying image 1/1 to input buffer (nx=528, ny=528)
clip_encode: output embedding shape [1536, 121, 1]
image slice encoded in 30 ms
decoding image batch 1/1, n_tokens_batch = 121
image decoded (batch 1/1) in 31 ms
Processing Media Embedding 2 (94 tokens)encoding audio slice...
reserve_compute_meta:      CUDA0 compute buffer size =    12.69 MiB
reserve_compute_meta:        CPU compute buffer size =     0.24 MiB
reserve_compute_meta: graph splits = 1, nodes = 1448
warmup: flash attention is disabled
clip_encode: output embedding shape [1536, 94, 1]
audio slice encoded in 27 ms
decoding audio batch 1/1, n_tokens_batch = 94
audio decoded (batch 1/1) in 20 ms
Processing Prompt [BATCH] (331 / 331 tokens)
Generating (32 / 1536 tokens)
(EOS token triggered! ID:106)
[18:13:46] CtxLimit:363/65536, Init:0.04s, Processed:331 in 0.26s (1258.56T/s),
Generated:32/1536 in 0.53s (60.26T/s), Total:0.83s
Output: I am sorry, but I cannot hear any audio. I am a text-based AI and can on
ly process the images or text you provide to me.

0 replies

Zontomoka5934 · 2026-09-29T15:29:49Z

Zontomoka5934
Sep 29, 2026
Author

Note. When using the Vulkan model, it sees the cat, but still does not hear the audio.

cat


...
Ftof8AC2sHf0f3rH6P/9k="}}, {"type": "text", "text": "\n\nWhat do you see in the
picture?"}]}], "continue_assistant_turn": true, "stream": true}
mtmd_group_mergeable_bitmaps: no merging for part index 0
add_text: <|image>
add_media: preproc_out has 1 entries, grid_x = 0, grid_y = 0, has_overview = 0
image_tokens->nx = 121
image_tokens->ny = 1
batch_f32 size = 1
add_text: <image|>

Processing Media Embedding 1 (121 tokens)encoding image slice...
clip_encode: copying image 1/1 to input buffer (nx=528, ny=528)
clip_encode: output embedding shape [1536, 121, 1]
image slice encoded in 138 ms
decoding image batch 1/1, n_tokens_batch = 121
image decoded (batch 1/1) in 37 ms
Processing Prompt [BATCH] (142 / 142 tokens)
Generating (145 / 1536 tokens)
(EOS token triggered! ID:106)
[18:25:51] CtxLimit:287/65536, Init:0.04s, Processed:142 in 0.49s (288.03T/s), G
enerated:145/1536 in 1.75s (82.62T/s), Total:2.29s
Output: In the picture, I see a **cat**.

Here are some details about the cat:

* **Appearance:** It has tabby markings (gray and black stripes) on its fur.
* **Eyes:** The cat has striking, bright **green/yellowish-green eyes**.
* **Expression/Pose:** The cat appears to be looking directly at the camera with
 a calm or curious expression. It seems to be resting or lying down.
* **Fur Texture:** The fur looks soft.
* **Setting:** The cat appears to be resting on a soft, light-colored surface (p
erhaps a blanket or fabric).

Overall, it's a close-up portrait of a beautiful feline.

0 replies

LostRuins · 2026-09-29T16:00:40Z

LostRuins
Sep 29, 2026
Maintainer

Issue confirmed, I can reproduce the bug. I will investigate

0 replies

LostRuins · 2026-09-30T14:24:17Z

LostRuins
Sep 30, 2026
Maintainer

Hello @Zontomoka5934 I think I have fixed the bug now. Could you give it a shot in the koboldcpp rolling releases here for oldpc

0 replies

Zontomoka5934 · 2026-09-30T19:58:48Z

Zontomoka5934
Sep 30, 2026
Author

Thank you very much for your answer and for your work!

To keep it short — the model has started recognizing images and hearing audio :)

But there are occasional anomalies: the model can sometimes stop seeing or hearing. Often, everything goes back to normal if you start a new session. However, this requires more extended testing, and it's possible that the model itself is just being a bit silly — sometimes it can be dumb or stubborn, and the issue is simply with it.
I'll be testing more thoroughly on the Gemma 4 E2B, Gemma 4 E4B, and Gemma 4 26B-A4B models.
Below is a detailed test result for Gemma 4 E2B only.
gemma-4-E2B-it-Q4_K_M.gguf + mmproj-F16.gguf (https://huggingface.co/unsloth/gemma-4-E2B-it-GGUF)

koboldcpp-oldpc.exe — I wasn't able to use CUDA because it uses CUDA 12 internally. On Windows 7, I can only work with CUDA 11.4.
To compile a version for CUDA 11.4, I would need to fork your (fixed) source code and compile the "test-unofficial-win-oldpc-avx2.yaml" job. Since the releases page ("https://github.com/LostRuins/koboldcpp/releases/tag/rolling") states: "Note: The source code zips are not accurate as the CI can't update these, refer to the concedo_experimental branch." — it looks like I can't compile a CUDA 11.4 version for myself.

Because of that, I tested the Vulkan variant instead (koboldcpp_vulkan.dll).

Settings:
Instruct tag preset: Gemma 4 E2B & E4B NoThink
Sys. Prompt: (Unused)

Files:

test.gif
test.wav
speech.mp3
cat (661267798-9b16b2c4-bc6a-4ee0-abf3-07359db49a36.png)

Augmenting PYD directory...
***
Welcome to KoboldCpp - Version 1.123
For command line arguments, please run --help in the terminal.
Note: The GUI mode is not accessible to screen readers.
***
Auto Selected Vulkan Backend (flag=0)

Loading Chat Completions Adapter: R:\old\kcpp_adapters\AutoGuess.json
Chat Completions Adapter Loaded
Auto Recommended GPU Layers: 4
GPU layers is default: Will enable AutoFit for increased estimation accuracy.
System: Windows 6.1.7601 AMD64 Intel64 Family 6 Model 79 Stepping 1, GenuineInte
l
Detected Available GPU Memory: 12122 MB
Detected Available RAM: 48738 MB
Initializing dynamic library: koboldcpp_vulkan.dll
==========
Namespace(admin=False, admindir='', adminpassword='', adminunloadtimeout=0, agen
t=False, agent_api_key=None, agent_base_url=None, allow_config_onready=False, an
alyze='', autofit=True, autofitpadding=1024, autoswapmode=False, autoswapthresho
ld=256, baseconfig='', batchsize=512, benchmark=None, blasthreads=None, chatcomp
letionsadapter='AutoGuess', cli=False, config=None, contextsize=65536, debugmode
=0, defaultgenamt=2048, device='', downloaddir='', draftamount=4, draftgpulayers
=999, draftgpusplit=None, draftmodel=None, embeddingsgpu=False, embeddingsmaxctx
=4096, embeddingsmodel='', enableguidance=False, exportconfig='', exporttemplate
='', failsafe=False, ffncpu=0, flashattention=False, forceversion=False, foregro
und=False, gendefaults='', gendefaultsoverwrite=False, genlimit=0, gpulayers=4,
highpriority=False, hordeconfig=None, hordegenlen=0, hordekey='', hordemaxctx=0,
 hordemodelname='', hordeworkername='', host='', ignoremissing=False, jinja=Fals
e, jinja_kwargs='', jinja_tools=False, jinjatemplate='', jinjathink='default', l
aunch=True, lora=None, loramult=1.0, lowvram=False, maingpu=-1, maxrequestsize=3
2, mcpfile=None, mmproj='<hidden>:/<hidden>/Модели/Google/Gemma 4/by Unsloth/E2B-it-GGUF/mmpr
oj-F16.gguf', mmprojcpu=False, model=[], model_param='<hidden>:/<hidden>/Модели/Google/Gemma
4/by Unsloth/E2B-it-GGUF/Q4_K_M/gemma-4-E2B-it-Q4_K_M.gguf', moecpu=0, moeexpert
s=-1, multiplayer=False, multiuser=10, musicdiffusion='', musicembeddings='', mu
sicllm='', musiclowvram=False, musicvae='', noavx2=False, noblas=False, nobostok
en=False, nocertify=False, nofastforward=False, noflashattention=False, nommap=F
alse, nommq=False, nomodel=False, nopipelineparallel=False, noshift=False, noswa
=False, onready='', overridekv=None, overridenativecontext=0, overridetensors=No
ne, parallelrequests=1, password=None, pipelineparallel=False, port=5001, port_p
aram=5001, preloadstory=None, prompt='', proxy_port=None, quantkv='f16', quiet=F
alse, ratelimit=0, reasoningeffort='default', remotetunnel=False, reqtimeout=600
, ropeconfig=[0.0, 10000.0], routermode=False, rpcdevice='', rpchost='0.0.0.0',
rpcmode='disabled', rpcport=5551, rpctargets='', run_bundled_agent=False, saveda
tafile=None, sdaudiovae='', sdclamped=0, sdclampedsoft=0, sdclip1='', sdclip2=''
, sdclipdevice=-2, sdclipgpu=False, sdconfig=None, sdconvdirect='off', sdflashat
tention=False, sdgendefaults=False, sdllm='', sdlora=[], sdloramult=[1.0], sdmai
ngpu=-1, sdmodel='', sdnotile=False, sdoffloadcpu=False, sdphotomaker='', sdquan
t=0, sdt5xxl=None, sdthreads=5, sdtiledvae=512, sdupscaler='', sdvae='', sdvaeau
to=False, sdvaecpu=False, sdvaedevice=-1, sdvramlimit=0, showgui=False, singlein
stance=False, skiplauncher=False, smartcache=0, smartcontext=False, splitmode='l
ayer', ssl=None, swapadding=0, tensor_split=None, testmemory=False, threads=5, t
tsdir='', ttsgpu=False, ttsmaxlen=4096, ttsmodel='', ttsthreads=5, ttswavtokeniz
er='', ubatchsize=-1, unpack='', usecpu=False, usecuda=None, usedirectio=False,
usemlock=False, usemmap=False, usemtp=False, useswa=False, usevulkan=[0], versio
n=False, visionmaxres=1024, visionmaxtokens=-1, visionmintokens=-1, websearch=Fa
lse, whispermodel='')
==========
Loading Text Model: <hidden>:\<hidden>\Модели\Google\Gemma 4\by Unsloth\E2B-it-GGUF\Q4_K_M\ge
mma-4-E2B-it-Q4_K_M.gguf

The reported GGUF Arch is: gemma4
Arch Category: 50

---
Identified as GGUF model.
Attempting to Load...
---
Using automatic RoPE scaling for GGUF. If the model has custom RoPE settings, th
ey'll be used directly instead!
System Info: AVX = 1 | AVX_VNNI = 0 | AVX2 = 1 | AVX512 = 0 | AVX512_VBMI = 0 |
AVX512_VNNI = 0 | AVX512_BF16 = 0 | AMX_INT8 = 0 | FMA = 1 | NEON = 0 | SVE = 0
| ARM_FMA = 0 | F16C = 1 | FP16_VA = 0 | RISCV_VECT = 0 | WASM_SIMD = 0 | SSE3 =
 1 | SSSE3 = 1 | VSX = 0 | MATMUL_INT8 = 0 | LLAMAFILE = 1 |
ggml_vulkan: Found 1 Vulkan devices:
ggml_vulkan: 0 = NVIDIA GeForce RTX 3080 Ti (NVIDIA) | uma: 0 | fp16: 1 | bf16:
0 | fp4: 0 | warp size: 32 | shared memory: 49152 | int dot: 0 | matrix cores: n
one
Number of Backends: 3
Backend 0: Vulkan
Backend 1: RPC
Backend 2: CPU

Estimating MMProj GPU usage...
Apply NVIDIA Anti-BSOD Fix for KCPP
MMProj Autofit Usage: 941 MB
Attempting to use llama.cpp's automating fitting code. This will override all yo
ur layer configs, may or may not work!
Autofit Reserve Space: 1965 MB
Autofit Success: 1, Autofit Result: -c 65664 -ngl -1
llama_model_loader: loaded meta data with 56 key-value pairs and 601 tensors fro
m <hidden>:\<hidden>\╨Ь╨╛╨┤╨╡╨╗╨╕\Google\Gemma 4\by Unsloth\E2B-it-GGUF\Q4_K_M\gemma-4-E2B-
it-Q4_K_M.gguf (version GGUF V3 (latest))
print_info: file format = GGUF V3 (latest)
print_info: file type   = unknown, may not work
print_info: file size   = 2.88 GiB (5.32 BPW)
llama_prepare_model_devices: using device Vulkan0 (NVIDIA GeForce RTX 3080 Ti) (
0000:02:00.0) - 12121 MiB free
init_tokenizer: initializing tokenizer for type 2
load: 0 unused tokens
load: control-looking token:    212 '</s>' was not control-type; this is probabl
y a bug in the model. its type will be overridden
load: control-looking token:     50 '<|tool_response>' was not control-type; thi
s is probably a bug in the model. its type will be overridden
load: control-looking token:      1 '<eos>' was not control-type; this is probab
ly a bug in the model. its type will be overridden
load: printing all EOG tokens:
load:   - 1 ('<eos>')
load:   - 50 ('<|tool_response>')
load:   - 106 ('<turn|>')
load:   - 212 ('</s>')
load: special_eog_ids contains '<|tool_response>', removing '</s>' token from EO
G list
load: special tokens cache size = 24
load: token to piece cache size = 1.9445 MB
print_info: arch                  = gemma4
print_info: vocab_only            = 0
print_info: no_alloc              = 0
print_info: n_ctx_train           = 131072
print_info: n_embd_inp            = 1536
print_info: n_embd                = 1536
print_info: n_embd_out            = 1536
print_info: n_layer               = 35
print_info: n_layer_all           = 35
print_info: n_head                = 8
print_info: n_head_kv             = 1
print_info: n_rot                 = 512
print_info: n_swa                 = 512
print_info: is_swa_any            = 1
print_info: non_causal_type       = 1
print_info: n_embd_head_k         = 512
print_info: n_embd_head_v         = 512
print_info: n_gqa                 = 8
print_info: n_embd_k_gqa          = [256, 256, 256, 256, 512, 256, 256, 256, 256
, 512, 256, 256, 256, 256, 512, 256, 256, 256, 256, 512, 256, 256, 256, 256, 512
, 256, 256, 256, 256, 512, 256, 256, 256, 256, 512]
print_info: n_embd_v_gqa          = [256, 256, 256, 256, 512, 256, 256, 256, 256
, 512, 256, 256, 256, 256, 512, 256, 256, 256, 256, 512, 256, 256, 256, 256, 512
, 256, 256, 256, 256, 512, 256, 256, 256, 256, 512]
print_info: f_norm_eps            = 0.0e+00
print_info: f_norm_rms_eps        = 1.0e-06
print_info: f_clamp_kqv           = 0.0e+00
print_info: f_max_alibi_bias      = 0.0e+00
print_info: f_logit_scale         = 0.0e+00
print_info: f_attn_scale          = 1.0e+00
print_info: f_attn_value_scale    = 0.0000
print_info: n_ff                  = [6144, 6144, 6144, 6144, 6144, 6144, 6144, 6
144, 6144, 6144, 6144, 6144, 6144, 6144, 6144, 12288, 12288, 12288, 12288, 12288
, 12288, 12288, 12288, 12288, 12288, 12288, 12288, 12288, 12288, 12288, 12288, 1
2288, 12288, 12288, 12288]
print_info: n_expert              = 0
print_info: n_expert_used         = 0
print_info: n_expert_groups       = 0
print_info: n_group_used          = 0
print_info: causal attn           = 1
print_info: pooling type          = -1
print_info: rope type             = 2
print_info: rope scaling          = linear
print_info: freq_base_train       = 1000000.0
print_info: freq_scale_train      = 1
print_info: freq_base_swa         = 10000.0
print_info: freq_scale_swa        = 1
print_info: n_embd_head_k_swa     = 256
print_info: n_embd_head_v_swa     = 256
print_info: n_rot_swa             = 256
print_info: n_ctx_orig_yarn       = 131072
print_info: rope_yarn_log_mul     = 0.0000
print_info: rope_finetuned        = unknown
print_info: model type            = E2B
print_info: model params          = 4.65 B
print_info: general.name          = Gemma-4-E2B-It
print_info: vocab type            = BPE
print_info: n_vocab               = 262144
print_info: n_merges              = 514906
print_info: BOS token             = 2 '<bos>'
print_info: EOS token             = 106 '<turn|>'
print_info: UNK token             = 3 '<unk>'
print_info: PAD token             = 0 '<pad>'
print_info: MASK token            = 4 '<mask>'
print_info: LF token              = 107 '
'
print_info: EOG token             = 1 '<eos>'
print_info: EOG token             = 50 '<|tool_response>'
print_info: EOG token             = 106 '<turn|>'
print_info: max token length      = 93
load_tensors: loading model tensors, this can take a while... (load_mode = none)

load_tensors: offloading output layer to GPU
load_tensors: offloading 34 repeating layers to GPU
load_tensors: offloaded 36/36 layers to GPU
load_tensors:      Vulkan0 model buffer size =  1407.73 MiB
load_tensors:  Vulkan_Host model buffer size =  1756.00 MiB
load_all_data: using async uploads for device Vulkan0, buffer type Vulkan0, back
end Vulkan0
.........................................

SWA Mode is ENABLED!
Note that using SWA Mode cannot be used with Context Shifting!
Context shifting is DISABLED!
Automatic RoPE Scaling: Using model internal value.
llama_context: constructing llama_context
llama_context: n_seq_max             = 1
llama_context: n_ctx                 = 65792
llama_context: n_ctx_seq             = 65792
llama_context: n_batch               = 512
llama_context: n_ubatch              = 512
llama_context: causal_attn           = 1
llama_context: flash_attn            = enabled
llama_context: kv_unified            = true
llama_context: freq_base             = 1000000.0
llama_context: freq_scale            = 1
llama_context: n_rs_seq              = 0
llama_context: n_outputs_max         = 512
llama_context: n_outputs_max_per_seq = 1
llama_context: n_ctx_seq (65792) < n_ctx_train (131072) -- the full capacity of
the model will not be utilized
set_abort_callback: call
llama_context: Vulkan_Host  output buffer size =     1.00 MiB
llama_kv_cache_iswa: creating non-SWA KV cache, size = 65792 cells
llama_kv_cache: reusing layers:
llama_kv_cache:    Vulkan0 KV buffer size =   385.50 MiB
llama_kv_cache: size =  385.50 MiB ( 65792 cells,   3 layers,  1/1 seqs), K (f16
):  192.75 MiB, V (f16):  192.75 MiB
llama_kv_cache: attn_rot_k = 0, n_embd_head_k_all = 512
llama_kv_cache: attn_rot_v = 0, n_embd_head_k_all = 512
llama_kv_cache_iswa: creating     SWA KV cache, size = 1152 cells
llama_kv_cache: reusing layers:
llama_kv_cache:    Vulkan0 KV buffer size =    13.50 MiB
llama_kv_cache: size =   13.50 MiB (  1152 cells,  12 layers,  1/1 seqs), K (f16
):    6.75 MiB, V (f16):    6.75 MiB
llama_kv_cache: attn_rot_k = 0, n_embd_head_k_all = 256
llama_kv_cache: attn_rot_v = 0, n_embd_head_k_all = 256
llama_context: enumerating backends
llama_context: backend_ptrs.size() = 2
sched_reserve: reserving ...
sched_reserve: max_nodes = 4816
resolve_fused_ops: resolving fused DeepSeek V4 HC support:
resolve_fused_ops: fused DeepSeek V4 HC pre enabled
resolve_fused_ops: fused DeepSeek V4 HC comb enabled
resolve_fused_ops: fused DeepSeek V4 HC post enabled
sched_reserve:    Vulkan0 compute buffer size =   532.50 MiB
sched_reserve: Vulkan_Host compute buffer size =    88.90 MiB
sched_reserve: graph: nodes = 1496, splits = 2, input objects = 5, input tensors
 = 10
sched_reserve: reserve took 35.35 ms, sched copies = 1
Threadpool set to 5 threads and 5 blasthreads...
attach_threadpool: call

Attempting to apply Multimodal Projector: <hidden>:\<hidden>\╨Ь╨╛╨┤╨╡╨╗╨╕\Google\Gemma 4\by
 Unsloth\E2B-it-GGUF\mmproj-F16.gguf
clip_model_loader: model name:   Gemma-4-E2B-It
clip_model_loader: description:
clip_model_loader: GGUF version: 3
clip_model_loader: alignment:    32
clip_model_loader: n_tensors:    1411
clip_model_loader: n_kv:         38

clip_model_loader: has vision encoder
clip_model_loader: has audio encoder
clip_ctx: CLIP using Vulkan0 backend
load_hparams: projector:          gemma4v
load_hparams: n_embd:             768
load_hparams: n_head:             12
load_hparams: n_ff:               3072
load_hparams: n_layer:            16
load_hparams: ffn_op:             gelu_quick
load_hparams: projection_dim:     1536

--- vision hparams ---
load_hparams: image_size:         224
load_hparams: patch_size:         16
load_hparams: has_llava_proj:     0
load_hparams: minicpmv_version:   0
load_hparams: n_merge:            3
load_hparams: n_wa_pattern: 0
load_hparams: image_min_pixels:   161280
load_hparams: image_max_pixels:   2580480

load_hparams: model size:         939.89 MiB
load_hparams: metadata size:      0.62 MiB
load_tensors: loaded 211 tensors from <hidden>:\<hidden>\╨Ь╨╛╨┤╨╡╨╗╨╕\Google\Gemma 4\by Uns
loth\E2B-it-GGUF\mmproj-F16.gguf
get_dummy_batch: warmup with image size = 768 x 768
clip_ctx: CLIP using Vulkan0 backend
load_hparams: projector:          gemma4a
load_hparams: n_embd:             1024
load_hparams: n_head:             8
load_hparams: n_ff:               4096
load_hparams: n_layer:            12
load_hparams: ffn_op:             gelu_quick
load_hparams: projection_dim:     1536

--- audio hparams ---
load_hparams: n_mel_bins:         128
load_hparams: proj_stack_factor:  0
load_hparams: audio_chunk_len:    0
load_hparams: audio_sample_rate:  16000
load_hparams: audio_n_fft:        512
load_hparams: audio_window_len:   320
load_hparams: audio_hop_len:      160

load_hparams: model size:         939.89 MiB
load_hparams: metadata size:      0.62 MiB
load_tensors: loaded 273 tensors from <hidden>:\<hidden>\╨Ь╨╛╨┤╨╡╨╗╨╕\Google\Gemma 4\by Uns
loth\E2B-it-GGUF\mmproj-F16.gguf
get_dummy_batch: warmup with audio size = 3000
init_audio: audio input is in experimental stage and may have reduced quality:
    https://github.com/ggml-org/llama.cpp/discussions/13759
Starting model warm up, please wait a moment...
Load Text Model OK: True
Chat completion heuristic: Google Gemma 4 (E2B and E4B)
Embedded KoboldAI Lite loaded.
Embedded API docs loaded.
Llama.cpp UI loaded.
======
Active Modules: TextGeneration MultimodalVision MultimodalAudio
Inactive Modules: ImageGeneration VoiceRecognition NetworkMultiplayer ApiKeyPass
word WebSearchProxy TextToSpeech VectorEmbeddings AdminControl MCPBridge MusicGe
n RouterMode
Enabled APIs: KoboldCppApi OpenAiApi OllamaApi AnthropicApi
Note: For third party Ollama API Emulation, you should set the port to 11434.
Starting Kobold API on port 5001 at http://localhost:5001/api/
Starting OpenAI Compatible API on port 5001 at http://localhost:5001/v1/
Starting llama.cpp secondary WebUI at http://localhost:5001/lcpp/
======
Please connect to custom endpoint at http://localhost:5001

Minor errors noticed along the way

Correct folder name encoding:
\Модели\Google\Gemma 4\by Unsloth\E2B-it-GGUF\Q4_K_M\gemma-4-E2B-it-Q4_K_M.gguf
...
Incorrect folder name encoding:
\╨Ь╨╛╨┤╨╡╨╗╨╕\Google\Gemma 4\by Unsloth\E2B-it-GGUF\Q4_K_M\gemma-4-E2B-it-Q4_K_M.gguf

NEW Session

test.wav
What numbers do you hear?
AI> I hear the numbers seven one seven eight nine one two.

cat (661267798-9b16b2c4-bc6a-4ee0-abf3-07359db49a36.png)
What do you see in the picture?
AI> I see a cat with grey and white fur, looking at the camera with green eyes.

test.gif
What do you see in the picture?
AI> I see an abstract image with a central white cross on a colorful background of blue, green, red, and yellow.

speech.mp3
Recognize the word.
AI> The word is "по вкусу".
(Note: yes)

NEW Session

cat (661267798-9b16b2c4-bc6a-4ee0-abf3-07359db49a36.png)
What do you see in the picture?
AI> In the picture, I see a cat.

speech.mp3
Recognize the word.
AI> Please provide the word you would like me to recognize.

test.wav
Recognize the word.
AI> The numbers you provided are: 7178912.

speech.mp3
Recognize the word.
AI> Please provide the word you would like me to recognize.

NEW Session

speech.mp3
Recognize the word.
AI> Повкус
(Note: yes)

test.wav
Recognize the word.
AI> Seven one seven eight nine one two

NEW Session

test.gif
What do you see in the picture??
AI> The image you provided is a color field or an abstract design composed of several bright, distinct colors.

test.mp3
Recognize the word.
AI> The word you are asking me to recognize is "seven one seven eight nine one two".

NEW Session

cat (661267798-9b16b2c4-bc6a-4ee0-abf3-07359db49a36.png)
What do you see in the picture?
AI> I see a picture of a cat.

test.gif
What do you see in the picture??
AI> I see an abstract image composed of vibrant, overlapping colors.

test.wav
Recognize the word.
AI> The sequence of numbers you provided is: 7178912.

speech.mp3
Recognize the word.
AI> The text you provided is "по вкусу".
(Note: yes)

Other
Weird thing. Sometimes, if you send the model an audio file and ask, “What do you hear?”, it replies with something like “7178912”. Then, if you immediately ask, “What do you hear now?” without sending anything, the model says it hears nothing — it’s already forgotten about the file from the previous message.
I don’t know if this is supposed to work this way?
Maybe it’s just a small, silly model. I’ll keep testing.

0 replies

It doesn’t see images and doesn’t hear audio. #2511

Uh oh!

Uh oh!

Zontomoka5934 Sep 29, 2026

Hi. There's a problem. It doesn’t see images and doesn’t hear audio.

Option 1

Option 2

Option 1.1

Option 1 image (garbage)

Option 1.1 doesn’t hear the audio (MP3, WAV)

Option 2 (sees the images correctly)

Replies: 7 comments

Uh oh!

Uh oh!

Zontomoka5934 Sep 29, 2026 Author

Uh oh!

LostRuins Sep 29, 2026 Maintainer

Uh oh!

Zontomoka5934 Sep 29, 2026 Author

Uh oh!

Zontomoka5934 Sep 29, 2026 Author

Uh oh!

LostRuins Sep 29, 2026 Maintainer

Uh oh!

LostRuins Sep 30, 2026 Maintainer

Uh oh!

Uh oh!

Zontomoka5934 Sep 30, 2026 Author

NEW Session

NEW Session

NEW Session

NEW Session

NEW Session

Zontomoka5934
Sep 29, 2026

Zontomoka5934
Sep 29, 2026
Author

LostRuins
Sep 29, 2026
Maintainer

Zontomoka5934
Sep 29, 2026
Author

Zontomoka5934
Sep 29, 2026
Author

LostRuins
Sep 29, 2026
Maintainer

LostRuins
Sep 30, 2026
Maintainer

Zontomoka5934
Sep 30, 2026
Author