Log start main: build = 3391 (090fca7a) main: built with Intel(R) oneAPI DPC++/C++ Compiler 2024.2.0 (2024.2.0.20240602) for x86_64-unknown-linux-gnu main: seed = 1721028663 llama_model_loader: loaded meta data with 23 key-value pairs and 291 tensors from /home/sebastien/.local/share/nomic.ai/GPT4All/Meta-Llama-3-8B-Instruct.Q4_0.gguf (version GGUF V3 (latest)) llama_model_loader: Dumping metadata keys/values. Note: KV overrides do not apply in this output. llama_model_loader: - kv 0: general.architecture str = llama llama_model_loader: - kv 1: general.name str = dl llama_model_loader: - kv 2: llama.vocab_size u32 = 128256 llama_model_loader: - kv 3: llama.context_length u32 = 8192 llama_model_loader: - kv 4: llama.embedding_length u32 = 4096 llama_model_loader: - kv 5: llama.block_count u32 = 32 llama_model_loader: - kv 6: llama.feed_forward_length u32 = 14336 llama_model_loader: - kv 7: llama.rope.dimension_count u32 = 128 llama_model_loader: - kv 8: llama.attention.head_count u32 = 32 llama_model_loader: - kv 9: llama.attention.head_count_kv u32 = 8 llama_model_loader: - kv 10: llama.attention.layer_norm_rms_epsilon f32 = 0,000010 llama_model_loader: - kv 11: llama.rope.freq_base f32 = 500000,000000 llama_model_loader: - kv 12: general.file_type u32 = 2 llama_model_loader: - kv 13: tokenizer.ggml.model str = gpt2 llama_model_loader: - kv 14: tokenizer.ggml.tokens arr[str,128256] = ["!", "\"", "#", "$", "%", "&", "'", ... llama_model_loader: - kv 15: tokenizer.ggml.scores arr[f32,128256] = [0,000000, 0,000000, 0,000000, 0,0000... llama_model_loader: - kv 16: tokenizer.ggml.token_type arr[i32,128256] = [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, ... llama_model_loader: - kv 17: tokenizer.ggml.merges arr[str,280147] = ["Ġ Ġ", "Ġ ĠĠĠ", "ĠĠ ĠĠ", "... llama_model_loader: - kv 18: tokenizer.ggml.bos_token_id u32 = 128000 llama_model_loader: - kv 19: tokenizer.ggml.eos_token_id u32 = 128009 llama_model_loader: - kv 20: tokenizer.ggml.add_bos_token bool = true llama_model_loader: - kv 21: tokenizer.chat_template str = {% set loop_messages = messages %}{% ... llama_model_loader: - kv 22: general.quantization_version u32 = 2 llama_model_loader: - type f32: 65 tensors llama_model_loader: - type q4_0: 225 tensors llama_model_loader: - type q6_K: 1 tensors llm_load_vocab: missing pre-tokenizer type, using: 'default' llm_load_vocab: llm_load_vocab: ************************************ llm_load_vocab: GENERATION QUALITY WILL BE DEGRADED! llm_load_vocab: CONSIDER REGENERATING THE MODEL llm_load_vocab: ************************************ llm_load_vocab: llm_load_vocab: special tokens cache size = 256 llm_load_vocab: token to piece cache size = 0,8000 MB llm_load_print_meta: format = GGUF V3 (latest) llm_load_print_meta: arch = llama llm_load_print_meta: vocab type = BPE llm_load_print_meta: n_vocab = 128256 llm_load_print_meta: n_merges = 280147 llm_load_print_meta: vocab_only = 0 llm_load_print_meta: n_ctx_train = 8192 llm_load_print_meta: n_embd = 4096 llm_load_print_meta: n_layer = 32 llm_load_print_meta: n_head = 32 llm_load_print_meta: n_head_kv = 8 llm_load_print_meta: n_rot = 128 llm_load_print_meta: n_swa = 0 llm_load_print_meta: n_embd_head_k = 128 llm_load_print_meta: n_embd_head_v = 128 llm_load_print_meta: n_gqa = 4 llm_load_print_meta: n_embd_k_gqa = 1024 llm_load_print_meta: n_embd_v_gqa = 1024 llm_load_print_meta: f_norm_eps = 0,0e+00 llm_load_print_meta: f_norm_rms_eps = 1,0e-05 llm_load_print_meta: f_clamp_kqv = 0,0e+00 llm_load_print_meta: f_max_alibi_bias = 0,0e+00 llm_load_print_meta: f_logit_scale = 0,0e+00 llm_load_print_meta: n_ff = 14336 llm_load_print_meta: n_expert = 0 llm_load_print_meta: n_expert_used = 0 llm_load_print_meta: causal attn = 1 llm_load_print_meta: pooling type = 0 llm_load_print_meta: rope type = 0 llm_load_print_meta: rope scaling = linear llm_load_print_meta: freq_base_train = 500000,0 llm_load_print_meta: freq_scale_train = 1 llm_load_print_meta: n_ctx_orig_yarn = 8192 llm_load_print_meta: rope_finetuned = unknown llm_load_print_meta: ssm_d_conv = 0 llm_load_print_meta: ssm_d_inner = 0 llm_load_print_meta: ssm_d_state = 0 llm_load_print_meta: ssm_dt_rank = 0 llm_load_print_meta: model type = 8B llm_load_print_meta: model ftype = Q4_0 llm_load_print_meta: model params = 8,03 B llm_load_print_meta: model size = 4,33 GiB (4,64 BPW) llm_load_print_meta: general.name = dl llm_load_print_meta: BOS token = 128000 '<|begin_of_text|>' llm_load_print_meta: EOS token = 128009 '<|eot_id|>' llm_load_print_meta: LF token = 128 'Ä' llm_load_print_meta: EOT token = 128009 '<|eot_id|>' llm_load_print_meta: max token length = 256 ggml_sycl_init: GGML_SYCL_FORCE_MMQ: no ggml_sycl_init: SYCL_USE_XMX: yes ggml_sycl_init: found 3 SYCL devices: llm_load_tensors: ggml ctx size = 0,27 MiB llm_load_tensors: offloading 32 repeating layers to GPU llm_load_tensors: offloading non-repeating layers to GPU llm_load_tensors: offloaded 33/33 layers to GPU llm_load_tensors: SYCL0 buffer size = 4155,99 MiB llm_load_tensors: CPU buffer size = 281,81 MiB ...................................................................................... llama_new_context_with_model: n_ctx = 8192 llama_new_context_with_model: n_batch = 2048 llama_new_context_with_model: n_ubatch = 512 llama_new_context_with_model: flash_attn = 0 llama_new_context_with_model: freq_base = 500000,0 llama_new_context_with_model: freq_scale = 1 [SYCL] call ggml_check_sycl ggml_check_sycl: GGML_SYCL_DEBUG: 0 ggml_check_sycl: GGML_SYCL_F16: no found 3 SYCL devices: | | | | |Max | |Max |Global | | | | | | |compute|Max work|sub |mem | | |ID| Device Type| Name|Version|units |group |group|size | Driver version| |--|-------------------|---------------------------------------|-------|-------|--------|-----|-------|---------------------| | 0| [level_zero:gpu:0]| Intel Arc A770 Graphics| 1.3| 512| 1024| 32| 16225M| 1.3.29735| | 1| [opencl:gpu:0]| Intel Arc A770 Graphics| 3.0| 512| 1024| 32| 16225M| 24.22.029735| | 2| [opencl:cpu:0]|AMD Ryzen 9 7950X 16-Core Processor | 3.0| 32| 8192| 64| 32824M|2024.18.6.0.02_160000| llama_kv_cache_init: SYCL0 KV buffer size = 1024,00 MiB llama_new_context_with_model: KV self size = 1024,00 MiB, K (f16): 512,00 MiB, V (f16): 512,00 MiB llama_new_context_with_model: SYCL_Host output buffer size = 0,49 MiB llama_new_context_with_model: SYCL0 compute buffer size = 560,00 MiB llama_new_context_with_model: SYCL_Host compute buffer size = 24,01 MiB llama_new_context_with_model: graph nodes = 1030 llama_new_context_with_model: graph splits = 2 Unexpected pattern! UNREACHABLE executed at ./lib/SPIRV/SPIRVUtil.cpp:1887! The program was built for 1 devices Build program log for 'Intel(R) Arc(TM) A770 Graphics': -11 (PI_ERROR_BUILD_PROGRAM_FAILURE)Exception caught at file:/home/sebastien/Projets/llama.cpp/ggml/src/ggml-sycl.cpp, line:2885