1.4.0
Installation
Via PyPI
pip install pjrt-plugin-tt==1.4.0 --extra-index-url https://pypi.eng.aws.tenstorrent.com/
pip install vllm-tt==1.4.0 --extra-index-url https://pypi.eng.aws.tenstorrent.com/Via Docker
docker pull ghcr.io/tenstorrent/tt-xla-slim:1.4.0What's Changed
What's Changed
- Enable const eval for sampling and pooling vllm tests by @devisettymahidhar608 in #5339
- Add aten.histc decomposition (one_hot + sum) by @kamalrajkannan78 in #5280
- Expose disabling all reduce workaround by @mtopalovicTT in #5297
- Add DiffusionGemma 26B to TP inference config via tt_moe backend by @kamalrajkannan78 in #5323
- [build] fix manylinux linker issues by @pilkicTT in #5362
- Xfail Nightly Failed tests by @ctr-pmuruganTT in #5347
- [CI] Use manylinux wheel for tests on uplifts/wheel build changes by @nsumrakTT in #5364
- ci: add manual-build.yml dispatchable build-only workflow by @kmabeeTT in #5365
- Add PCC check to DeepSeek-V4 streaming test by @sshonTT in #5356
- fix
manual-build.ymlstartup_failure (missing permissions) by @kmabeeTT in #5384 - Add tensor-parallel inference configs for new added models by @sonalibaskaran2499 in #5385
- [Benchmark] WAN 2.2 test by @vkovinicTT in #5222
- [Benchmark] Test kimi-k2.6 instead of k2.5 and increase required pcc by @gengelageTT in #5386
- Extend n150 LLM checks and enable perf regression checks for uplift OnPR by @vkovacevicTT in #5393
- Catch SDPA composite for bool attention masks by @kamalrajkannan78 in #5289
- Resolve WH galaxy hang by @ddilbazTT in #5383
- [vLLM] Add prefill request-count bucketing via min_num_seqs by @mmanzoorTT in #5363
- Automatic version bump after release by @vvukomanTT in #5433
- Revert SDPA composite bool mask catch (#5289) due to perf regression by @kamalrajkannan78 in #5431
- [runner] Wire SRPO and FIBO into tensor-parallel inference CI by @ctr-lelanchelianTT in #5417
- Add example for stable diffusion 1 5 model by @ctr-lelanchelianTT in #5043
- Add example for stable diffusion 3 model by @ctr-lelanchelianTT in #5075
- Add MLA implementation to vLLM by @hshahTT in #5119
- Enable VAE on TT for Playground v2.5 and SDXL Lightning by @kamalrajkannan78 in #5402
- Decompose prims.view_of to fix functionalization of no-op views (#5375) by @ashokkumarkannan1 in #5388
- [CI] Fix failing shell command by @nsumrakTT in #5430
- [CI] Op-by-op workflow by @nsumrakTT in #5346
- Enable opt-level=2 on vllm benchmarks by @vkovacevicTT in #5410
- Fix device-count mismatch for no-input graphs on multi-device runs by @kamalrajkannan78 in #5366
- FLUX.2: Add component tests (text encoder, transformer, VAE decoder) by @ashokkumarkannan1 in #5317
- docs: add Tenstorrent theme, search/AI modal, and OpenSearch indexing by @ctr-fmamedov-crypto in #5484
- Add Flux1 dev Component tests by @ashokkumarkannan1 in #5308
- Remove qwen_3_4b_embedding from perf benchmark job in pr-main.yml by @acicovicTT in #5493
- Silence warning on unimplemented PJRT API by @svuckovicTT in #5411
- Exposing CCL activation lowering flag in compiler config by @dgolubovicTT in #5396
- [CI] Dump irs on weekly/Sunday nightly by @nsumrakTT in #5497
- Revert "Fix device-count mismatch for no-input graphs on multi-device runs (#5366)" by @vkovacevicTT in #5496
- [vLLM] Enable chunked prefill: decouple buckets + runtime chunked SDPA (#4986) by @alinakhanTT in #5283
- [vLLM] Parametrize embedding benchmarks into EMBEDDING_CONFIGS by @jazpurTT in #5473
- [vLLM] Hoist TT attention batch metadata out of the compiled graph by @mmanzoorTT in #5485
- [TT-Lang] Jackzhang/tt lang integration by @jackzhangTT in #4712
- Change type of input params in On nightly by @vvukomanTT in #5508
- Add per-weight sensitivity score heuristic for mixed precision quantization by @kdimicTT in #5092
- Don't schedule prefill unless there is enough kv cache left to fulfil decode stage by @AleksKnezevic in #5467
- Remove dual bh lb from available CI runners by @jameszianxuTT in #5437
- Revert "Jackzhang/tt lang integration (#4712)" by @jameszianxuTT in #5517
- [vLLM] Precompile prefill graphs largest-first to avoid DRAM-fragmentation OOM by @kmabeeTT in #5523
- [vLLM] Update graph compilation check during inference by @mmanzoorTT in #5503
- Add falcon model test when dispatching by @vvukomanTT in #5509
- Add option for measuring compile time of each MLIR pass by @umalesTT in #5492
- [runner] Add gemma4-12B multimodal tensor-parallel test configs by @saiarthiraguram in #5279
- Remove n300-llmbox from perf benchmarks by @vkovacevicTT in #5436
- Uplift PJRT C API header from v0.110 to v0.113 by @vmilosevic in #5527
- Fix several nightly failures from July 6, 2026 by @acicovicTT in #5530
- Mistral 3.1 small 24B vLLM benchmark by @acicovicTT in #5510
- Add declarative activation sharding constraints by @sonalibaskaran2499 in #5512
- [Janus-Pro] Add e2e text-to-image pipeline (1B + 7B): nightly + benchmark by @ashokkumarkannan1 in #5291
- [Benchmark] Wire image-gen e2e pipelines into nightly + benchmark CI (SD1.5, SD3) by @ctr-lelanchelianTT in #5085
- Add Gemma-4 multimodal image input for vLLM by @sshonTT in #5029
- Unify TTNN codegen with normal runs: emit per-graph Python, edit, and reload via env vars + vLLM support by @AleksKnezevic in #5160
- Jackzhang/tt lang integration by @jackzhangTT in #5539
- Playground v2.5 + SDXL Lightning: add PCC-gated nightly + demo scripts by @kamalrajkannan78 in #5480
- Fix pytest marker checker by @sgligorijevicTT in #5528
- Re-register tt_moe after per-model transformers swap by @kamalrajkannan78 in #5424
- [vLLM] Decouple the max prefill request-count bucket from decode by @mmanzoorTT in #5541
- Filter uplift PRs out of release "What's Changed" by @vmilosevic in #5556
- [vLLM] Add data-parallel, tensor-parallel and DP+TP support across generative and pooling models by @mmanzoorTT in #4947
- Fix uplift label exclusion in release notes config by @vmilosevic in #5572
- Drop vLLM perf test results from notes by @vvukomanTT in #5573
- [CI] Upgrade process irs workflow by @nsumrakTT in #5557
- [vLLM] Fix b1-prefill nightly OOM: shrink prefill bucket + KV reservation by @alinakhanTT in #5566
- [Z-Image] Add initial tests for each part of the pipeline by @ashokkumarkannan1 in #4764
- Reland: fix device-count mismatch for no-input graphs (gate on num_partitions) by @kamalrajkannan78 in #5531
- [WAN] umt5 sharding by @vkovinicTT in #5586
- Install vllm package for single-test workflow by @mmanzoorTT in #5581
- [SDXL Lightning] Migrate _perf to model-agnostic benchmark schema by @kamalrajkannan78 in #5582
- [vLLM] Enable meta-llama/Llama-3.2-3B TP test by @mmanzoorTT in #5577
- [torch] AOTAutograd on by default by @sgligorijevicTT in #3795
- Re-enable Wan 2.2 DiT component tests in CI by @umalesTT in #5598
- Add 'galaxy-bh' to the list of runners by @vmilosevic in #5602
- [FLUX.2] Add e2e text-to-image pipeline: nightly + benchmark by @ashokkumarkannan1 in #5359
- [vLLM][tests] Add duration-based per-test timeout for generative suite by @mmanzoorTT in #5614
- Skip process-irs when dump_irs is off and no IR artifacts exist by @devisettymahidhar608 in #5594
- [PyTorch v2.11.0 uplift] Update PyTorch tag in torch-xla build script by @mmanzoorTT in #5617
- [CI] Refresh checked in syst descs before nightly cpu compile only tests by @jasonmacTT in #5326
- Stop triggering qb2-blackhole perf tests by @vvukomanTT in #5626
- [vLLM] Don't force fp32_dest_acc_en=False graph-wide in benchmark configs by @dgolubovicTT in #5599
- Update test duration by @mmanzoorTT in #5632
- [op-by-op] Continue processing when an IR fails to split by @ctr-lelanchelianTT in #5627
- Catch SDPA composite for bool attention masks behind opt-in flag by @kamalrajkannan78 in #5609
- Revert "Stop triggering qb2-blackhole perf tests (#5626)" by @vvukomanTT in #5641
- Fix composite layer_norm dtype mismatch with affine params under AOTAutograd by @ctr-pmuruganTT in #5637
- [pjrt] Support rank-0 (scalar) complex host buffers by @devisettymahidhar608 in #5622
- tracy ttrun integration by @jasonmacTT in #5278
- [FLUX.1] Add e2e text-to-image pipeline: nightly + benchmark by @ashokkumarkannan1 in #5536
- Comparator: use live transformers.Cache so DynamicCache converts after requirements swap by @kamalrajkannan78 in #5644
- Lower sharded near-miss PCC thresholds + xfail efficientdet/qwen_3 tests by @ctr-pmuruganTT in #5658
- [vLLM] Flip stale opt_level=0 pins to opt_level=1 by @alinakhanTT in #5589
- [CI] Run ir processing on weekends (nightly/weekly) by @nsumrakTT in #5662
- [vLLM] Relax greedy TP tests to smoke checks on n300_llmbox by @alinakhanTT in #5647
- Clamp OOB negative slices on eager + exported paths (#4465) by @ashokkumarkannan1 in #5640
- Disable AOT Autograd for Segformer in benchmarks by @vkovacevicTT in #5607
- [vLLM] Remove benchmark workaround forcing cpu_sampling=True at opt>=1 by @alinakhanTT in #5671
- [vLLM] Fix AscendScheduler decode deadlock on partial-prefill continuation by @alinakhanTT in #5672
- Temporarily disable profiling for manylinux (released) whl to solve tracy host memory leak by @jameszianxuTT in #5663
- [vLLM] adding Qwen + BGE embedding models galaxy tests by @jazpurTT in #5648
- Remove xfail from test_no_prefill_recompile (fixed by tt-mlir uplift - "Page table must be row major" ) by @kmabeeTT in #5690
- [Z-Image] Add e2e text-to-image pipeline: nightly + benchmark by @ashokkumarkannan1 in #5498
- [GLM Image] Add e2e pipeline in nightly and benchmark CI by @meenakshiramanathan1 in #5570
- vLLM benchmark get device info by @vkovacevicTT in #5646
- Big failing test cleanup by @sgligorijevicTT in #5689
- Modify llama-3.1-8b optimization level by @pdeviTT in #5716
- Add Dual QBAE to multihost CI as 2x4xp150 + temporarily remove nonfunctional dual T3K by @jameszianxuTT in #5669
- Update the test configuration with the latest model bring-ups by @devisettymahidhar608 in #5674
- [CogVideoX] Add Sharded test for each model component by @meenakshiramanathan1 in #4982
- Add test for infinity text-to-image model by @meenakshiramanathan1 in #5016
- [Bringup] Add BAGEL bagel_model 4-way tensor-parallel test by @saiarthiraguram in #5174
- [Benchmark] Add pcc-only modes by @mvasiljevicTT in #5500
- Enable forked=true for qb2 weekly tensor-parallel model tests by @devisettymahidhar608 in #5737
- [vLLM] Fix Gemma4 related tests for nightly by @sshonTT in #5733
- Run llmbox multi-host test via topology infra, drop subprocess wrapper by @jameszianxuTT in #5725
- [vLLM] Fix inconsistent batch size keying for preallocated buffers by @alinakhanTT in #5591
- [vLLM] Broaden chunked-prefill coverage across push and nightly vLLM tests by @alinakhanTT in #5692
- [Benchmark] Increase deepseek-v3.1 and GLM4.7 batch size to 128 by @gengelageTT in #5561
- [benchmark] Use TP-only mesh for llama_3_1_70b_tp_qb2 to fix decode PCC (#5487) by @rpavlovicTT in #5717
- Update test configs from 2026-07-21 nightly (bert/mistral xfail, llama_lora pcc) by @ctr-pmuruganTT in #5741
- Remove Mixtral and Pixtral placeholders after bringup by @devisettymahidhar608 in #5748
- Fix whisper E2E: forward keyword inputs + bool cumsum cast by @ctr-pmuruganTT in #5631
- Remove xfail for xpassing tests + lower wan14b umt5 PCC to 0.97 by @ctr-pmuruganTT in #5757
- Restore 1D mesh for gemma4-31b-it-tp benchmark on QB2 by @kmabeeTT in #5758
- Update test durations for vLLM tests by @mmanzoorTT in #5742
New Contributors
- @mtopalovicTT made their first contribution in #5297
- @ctr-fmamedov-crypto made their first contribution in #5484
- @pdeviTT made their first contribution in #5716
Full Changelog: 1.3.0...1.4.0
LLM Performance
| Model | Token/sec/user | Batch | Token/sec | ttft (ms) | Hardware |
|---|---|---|---|---|---|
| pytorch_DeepSeek-V3.2_deepseek_v3_2_exp_modified_nlp_causal_lm_custom | 3.0 | 128 | 384.0 | 8216.11 | n150 |
| pytorch_Falcon_3_10B_Base_nlp_causal_lm_huggingface | 40.0 | 32 | 1280.0 | 835.41 | p150 |
| pytorch_Falcon_3_1B_Base_nlp_causal_lm_huggingface | 54.0 | 32 | 1728.0 | 658.97 | n150 |
| pytorch_Falcon_3_1B_Base_nlp_causal_lm_huggingface | 105.0 | 32 | 3360.0 | 298.38 | p150 |
| pytorch_Falcon_3_3B_Base_nlp_causal_lm_huggingface | 36.0 | 32 | 1152.0 | 820.12 | n150 |
| pytorch_Falcon_3_3B_Base_nlp_causal_lm_huggingface | 64.0 | 32 | 2048.0 | 376.11 | p150 |
| pytorch_Falcon_3_7B_Base_nlp_causal_lm_huggingface | 18.0 | 32 | 576.0 | 1153.17 | n150 |
| pytorch_Falcon_3_7B_Base_nlp_causal_lm_huggingface | 36.0 | 32 | 1152.0 | 500.88 | p150 |
| pytorch_GLM_4.7_nlp_causal_lm_huggingface | 7.0 | 128 | 896.0 | 2731.29 | n150 |
| pytorch_GPT-OSS_20B_nlp_causal_lm_huggingface | 8.0 | 64 | 512.0 | 6253.4 | n150 |
| pytorch_GPT-OSS_20B_nlp_causal_lm_huggingface | 21.0 | 1 | 21.0 | 333.23 | p150 |
| pytorch_Gemma_1.1_2B_IT_nlp_causal_lm_huggingface | 38.0 | 32 | 1216.0 | 669.59 | n150 |
| pytorch_Gemma_1.1_2B_IT_nlp_causal_lm_huggingface | 77.0 | 32 | 2464.0 | 243.57 | p150 |
| pytorch_Kimi-K2.6_kimi_k2_6_modified_nlp_causal_lm_custom | 6.0 | 64 | 384.0 | 3556.51 | n150 |
| pytorch_Kimi-K2_kimi_k2_instruct_modified_nlp_causal_lm_custom | 6.0 | 64 | 384.0 | 3446.21 | n150 |
| pytorch_Llama_3.1_70B_Instruct_nlp_causal_lm_huggingface | 6.0 | 32 | 192.0 | 11018.66 | n150 |
| pytorch_Llama_3.1_70B_Instruct_nlp_causal_lm_huggingface | 12.0 | 32 | 384.0 | 1780.34 | p150 |
| pytorch_Llama_3.1_8B_Instruct_nlp_causal_lm_huggingface | 22.0 | 32 | 704.0 | 1246.98 | n150 |
| pytorch_Llama_3.1_8B_Instruct_nlp_causal_lm_huggingface | 38.0 | 32 | 1216.0 | 582.74 | p150 |
| pytorch_Llama_3.2_1B_Instruct_nlp_causal_lm_huggingface | 64.0 | 32 | 2048.0 | 560.88 | n150 |
| pytorch_Llama_3.2_1B_Instruct_nlp_causal_lm_huggingface | 123.0 | 32 | 3936.0 | 236.32 | p150 |
| pytorch_Llama_3.2_3B_Instruct_nlp_causal_lm_huggingface | 30.0 | 32 | 960.0 | 589.99 | n150 |
| pytorch_Llama_3.2_3B_Instruct_nlp_causal_lm_huggingface | 55.0 | 32 | 1760.0 | 284.05 | p150 |
| pytorch_Mistral_7B_INSTRUCT_v03_nlp_causal_lm_huggingface | 20.0 | 32 | 640.0 | 1224.87 | n150 |
| pytorch_Mistral_7B_INSTRUCT_v03_nlp_causal_lm_huggingface | 34.0 | 32 | 1088.0 | 557.78 | p150 |
| pytorch_Mistral_Small_24B_INSTRUCT_2501_nlp_causal_lm_huggingface | 29.0 | 32 | 928.0 | 894.37 | p150 |
| pytorch_Phi-1.5_Phi_1_5_nlp_causal_lm_huggingface | 20.0 | 32 | 640.0 | 628.66 | n150 |
| pytorch_Phi-1.5_Phi_1_5_nlp_causal_lm_huggingface | 37.0 | 32 | 1184.0 | 334.16 | p150 |
| pytorch_Phi-1_Phi_1_nlp_causal_lm_huggingface | 20.0 | 32 | 640.0 | 629.87 | n150 |
| pytorch_Phi-1_Phi_1_nlp_causal_lm_huggingface | 37.0 | 32 | 1184.0 | 330.3 | p150 |
| pytorch_Phi-2_Phi_2_nlp_causal_lm_huggingface | 8.0 | 32 | 256.0 | 1412.12 | n150 |
| pytorch_Phi-2_Phi_2_nlp_causal_lm_huggingface | 20.0 | 32 | 640.0 | 694.87 | p150 |
| pytorch_Qwen 2.5 Coder_32B_Instruct_nlp_causal_lm_huggingface | 17.0 | 32 | 544.0 | 1467.01 | p150 |
| pytorch_Qwen 2.5_0.5B_Instruct_nlp_causal_lm_huggingface | 69.0 | 32 | 2208.0 | 405.43 | n150 |
| pytorch_Qwen 2.5_0.5B_Instruct_nlp_causal_lm_huggingface | 126.0 | 32 | 4032.0 | 183.54 | p150 |
| pytorch_Qwen 2.5_1.5B_Instruct_nlp_causal_lm_huggingface | 36.0 | 32 | 1152.0 | 483.81 | n150 |
| pytorch_Qwen 2.5_1.5B_Instruct_nlp_causal_lm_huggingface | 63.0 | 32 | 2016.0 | 211.96 | p150 |
| pytorch_Qwen 2.5_3B_Instruct_nlp_causal_lm_huggingface | 30.0 | 32 | 960.0 | 670.98 | n150 |
| pytorch_Qwen 2.5_3B_Instruct_nlp_causal_lm_huggingface | 58.0 | 32 | 1856.0 | 293.38 | p150 |
| pytorch_Qwen 2.5_7B_Instruct_nlp_causal_lm_huggingface | 16.0 | 32 | 512.0 | 801.72 | n150 |
| pytorch_Qwen 2.5_7B_Instruct_nlp_causal_lm_huggingface | 27.0 | 32 | 864.0 | 354.84 | p150 |
| pytorch_Qwen 3_0_6B_nlp_causal_lm_huggingface | 27.0 | 32 | 864.0 | 1154.41 | n150 |
| pytorch_Qwen 3_0_6B_nlp_causal_lm_huggingface | 59.0 | 32 | 1888.0 | 528.65 | p150 |
| pytorch_Qwen 3_1_7B_nlp_causal_lm_huggingface | 22.0 | 32 | 704.0 | 695.31 | n150 |
| pytorch_Qwen 3_1_7B_nlp_causal_lm_huggingface | 46.0 | 32 | 1472.0 | 327.83 | p150 |
| pytorch_Qwen 3_32B_nlp_causal_lm_huggingface | 14.0 | 32 | 448.0 | 1827.03 | p150 |
| pytorch_Qwen 3_4B_nlp_causal_lm_huggingface | 13.0 | 32 | 416.0 | 964.19 | n150 |
| pytorch_Qwen 3_4B_nlp_causal_lm_huggingface | 27.0 | 32 | 864.0 | 462.53 | p150 |
| pytorch_Qwen 3_8B_nlp_causal_lm_huggingface | 10.0 | 32 | 320.0 | 1552.55 | n150 |
| pytorch_Qwen 3_8B_nlp_causal_lm_huggingface | 21.0 | 32 | 672.0 | 718.31 | p150 |
Non-LLM Performance
| Model | Batch | Sample/sec | Hardware |
|---|---|---|---|
| Wan2.2-I2V-A14B-DiT | 1 | 0.0 | p150 |
| Wan2.2-I2V-A14B-UMT5-Text-Encoder | 1 | 12.0 | p150 |
| Wan2.2-I2V-A14B-VAE-Decoder | 1 | 0.0 | p150 |
| Wan2.2-I2V-A14B-VAE-Encoder | 1 | 2.0 | p150 |
| flux1-dev | 1 | 0.0 | p150 |
| flux2 | 1 | 0.0 | p150 |
| glm-image | 1 | 0.0 | p150 |
| janus-pro-1b | 1 | 0.0 | n150 |
| janus-pro-1b | 1 | 0.0 | p150 |
| janus-pro-7b | 1 | 0.0 | p150 |
| playground-v2.5 | 1 | 0.0 | n150 |
| playground-v2.5 | 1 | 0.0 | p150 |
| pytorch_BERT_emrecan/bert-base-turkish-cased-mean-nli-stsb-tr_nlp_embed_gen_huggingface | 8 | 159.0 | n150 |
| pytorch_BGE-M3_Base_nlp_embed_gen_custom | 4 | 9.0 | n150 |
| pytorch_BGE-M3_Base_nlp_embed_gen_custom | 4 | 18.0 | p150 |
| pytorch_EfficientNet_Timm_B0_cv_image_cls_timm | 8 | 352.0 | n150 |
| pytorch_EfficientNet_Timm_B0_cv_image_cls_timm | 8 | 793.0 | p150 |
| pytorch_MNIST_Cnn_Dropout_cv_image_cls_custom | 32 | 13915.0 | n150 |
| pytorch_MNIST_Cnn_Dropout_cv_image_cls_custom | 32 | 27582.0 | p150 |
| pytorch_MobileNetV2_Mobilenet_v2_cv_image_cls_torch_hub | 12 | 1241.0 | n150 |
| pytorch_MobileNetV2_Mobilenet_v2_cv_image_cls_torch_hub | 12 | 2917.0 | p150 |
| pytorch_Qwen 3_Embedding_4B_nlp_embed_gen_huggingface | 32 | 49.0 | n150 |
| pytorch_Qwen 3_Embedding_4B_nlp_embed_gen_huggingface | 32 | 109.0 | p150 |
| pytorch_ResNet_ResNet50_HuggingFace_cv_image_cls_huggingface | 8 | 1352.0 | n150 |
| pytorch_ResNet_ResNet50_HuggingFace_cv_image_cls_huggingface | 8 | 2750.0 | p150 |
| pytorch_SegFormer_B0_Finetuned_Ade_512_512_cv_image_seg_huggingface | 1 | 37.0 | n150 |
| pytorch_SegFormer_B0_Finetuned_Ade_512_512_cv_image_seg_huggingface | 1 | 79.0 | p150 |
| pytorch_Swin_S_cv_image_cls_torchvision | 1 | 10.0 | n150 |
| pytorch_Swin_S_cv_image_cls_torchvision | 1 | 22.0 | p150 |
| pytorch_U-Net for Conditional Generation_Base_conditional_generation_huggingface | 1 | 5.0 | n150 |
| pytorch_U-Net for Conditional Generation_Base_conditional_generation_huggingface | 1 | 9.0 | p150 |
| pytorch_Ultra-Fast Lane Detection v2_TuSimple_ResNet34_Backbone_cv_image_seg_github | 1 | 136.0 | n150 |
| pytorch_Ultra-Fast Lane Detection v2_TuSimple_ResNet34_Backbone_cv_image_seg_github | 1 | 236.0 | p150 |
| pytorch_VGG19-UNet_base_cv_image_seg_custom | 1 | 153.0 | n150 |
| pytorch_VGG19-UNet_base_cv_image_seg_custom | 1 | 309.0 | p150 |
| pytorch_ViT_Base_cv_image_cls_huggingface | 8 | 235.0 | n150 |
| pytorch_ViT_Base_cv_image_cls_huggingface | 8 | 566.0 | p150 |
| pytorch_VoVNet_Ese_Vovnet19b_Dw.ra_In1k_cv_image_cls_timm | 8 | 742.0 | n150 |
| pytorch_VoVNet_Ese_Vovnet19b_Dw.ra_In1k_cv_image_cls_timm | 8 | 1601.0 | p150 |
| sdxl-lightning | 1 | 0.0 | n150 |
| sdxl-lightning | 1 | 0.0 | p150 |
| zimage | 1 | 0.0 | p150 |
Model coverage
Info: Full list of supported models is available in the assets section.
| Model task | Model architecture | Model variant | Model framework | Inference | Training | n150 | n300 | p150 | Single device | Data parallel | Tensor parallel | Model source |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| cv image cls | DINOv2 | Small | pytorch | ✅ | ❌ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | View Source |
| nlp causal lm | Phi-1 | Phi 1 | jax | ✅ | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | View Source |
| mm image text similarity | CLIP | Base Patch16 | pytorch | ✅ | ❌ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | View Source |
| cv image cls | EfficientNet | B0 | pytorch | ✅ | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | View Source |
| nlp causal lm | Phi-4 | Phi 4 | pytorch | ✅ | ❌ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | View Source |
| nlp causal lm | Phi-1 | Phi 1 | pytorch | ❌ | ✅ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | View Source |
| cv image cls | MobileNetV1 | Mobilenet v1 | pytorch | ✅ | ❌ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | View Source |
| nlp causal lm | Qwen 2.5 | 7B Instruct | pytorch | ✅ | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ✅ | View Source |
| nlp causal lm | Phi-2 | Phi 2 | jax | ✅ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | ✅ | View Source |
| nlp causal lm | Phi-1 LoRA | Phi 1 | pytorch | ❌ | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | View Source |
| nlp causal lm | GPT-OSS | 20B | pytorch | ✅ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | ✅ | View Source |
| nlp embed gen | Qwen 3 | Embedding 8B | pytorch | ✅ | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ✅ | View Source |
| mm image text similarity | SigLIP | Base Patch16 224 | pytorch | ✅ | ❌ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | View Source |
| cv image cls | VGG | HF Vgg19 | pytorch | ✅ | ❌ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | View Source |
| nlp causal lm | Qwen 2.5 | 1.5B Instruct | jax | ✅ | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | View Source |
| cv image cls | VoVNet | Ese Vovnet19b Dw.ra In1k | pytorch | ✅ | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | View Source |
| nlp causal lm | Qwen 2.5 | 0.5B Instruct | jax | ✅ | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | View Source |
| nlp causal lm | Falcon | 3 10B Base | pytorch | ✅ | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ✅ | View Source |
| nlp causal lm | Qwen 3 | 4B | jax | ✅ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | ✅ | View Source |
| nlp causal lm | Qwen 2.5 Coder | 1.5B Instruct | jax | ✅ | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | View Source |
| nlp causal lm | Phi-3 | Mini Instruct | pytorch | ✅ | ❌ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | View Source |
| nlp causal lm | Gemma | 1.1 2B IT | pytorch | ✅ | ❌ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | View Source |
| mm visual qa | Mistral | base | pytorch | ✅ | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ✅ | View Source |
| nlp causal lm | Gemma | 2 2B IT | pytorch | ✅ | ❌ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | View Source |
| cv object det | TransFuser | None | pytorch | ✅ | ❌ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | View Source |
| nlp causal lm | Falcon | 3 1B Base | pytorch | ✅ | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | View Source |
| nlp token cls | BiLSTM-CRF | Default | pytorch | ✅ | ❌ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | View Source |
| cv image cls | MobileNetV2 | Mobilenet v2 | pytorch | ✅ | ❌ | ✅ | ✅ | ✅ | ✅ | ✅ | ❌ | View Source |
| cv img to img | Autoencoder | linear | pytorch | ❌ | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | View Source |
| nlp causal lm | olmo_3 | 3 7b instruct | pytorch | ✅ | ❌ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | View Source |
| nlp causal lm | GPT-2 | Xl | jax | ❌ | ✅ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | View Source |
| nlp causal lm | Qwen 3 | 1 7B | jax | ✅ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | ✅ | View Source |
| mm visual qa | Llama | 3.2 11B Vision | pytorch | ✅ | ❌ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | View Source |
| cv object det | OWL-ViT | Base Patch32 | pytorch | ✅ | ❌ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | View Source |
| nlp causal lm | olmo_3 | 3 32b think | pytorch | ✅ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | ✅ | View Source |
| nlp causal lm | olmo_3 | 3 7b think | pytorch | ✅ | ❌ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | View Source |
| nlp causal lm | Phi-3 | Mini 128K Instruct | pytorch | ✅ | ❌ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | View Source |
| nlp causal lm | Qwen 3 | 1 7B | pytorch | ✅ | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | View Source |
| cv object det | DETR | ResNet50 Backbone | pytorch | ✅ | ❌ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | View Source |
| cv image seg | VGG19-UNet | base | pytorch | ✅ | ❌ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | View Source |
| nlp causal lm | Qwen 2.5 Coder | 3B Instruct | jax | ✅ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | ✅ | View Source |
| cv image cls | MNIST | Cnn Dropout | jax | ✅ | ❌ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | View Source |
| cv image cls | MNIST | Mlp Custom | jax | ✅ | ❌ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | View Source |
| nlp causal lm | Llama | 3.2 1B | pytorch | ✅ | ❌ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | View Source |
| cv image seg | MaskFormer Swin-B | Swin Base Coco | pytorch | ✅ | ❌ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | View Source |
| cv object det | YOLOv9 | T | pytorch | ✅ | ❌ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | View Source |
| nlp causal lm | Qwen 2.5 Coder | 3B | jax | ✅ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | ✅ | View Source |
| nlp causal lm | Falcon | 3 7B Base | pytorch | ✅ | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ✅ | View Source |
| nlp causal lm | Llama | 3.1 70B | pytorch | ✅ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | ✅ | View Source |
| nlp causal lm | Qwen 2.5 | 0.5B Instruct | pytorch | ✅ | ❌ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | View Source |
| nlp causal lm | Phi-1.5 | Phi 1 5 | jax | ✅ | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | View Source |
| nlp causal lm | Qwen 2.5 | 0.5B | jax | ✅ | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | View Source |
| nlp causal lm | Qwen 2.5 | 72B Instruct | pytorch | ✅ | ❌ | ❌ | ❌ | ❌ | ❌ | ❌ | ✅ | View Source |
| nlp causal lm | olmo_3 | 3 1025 7b | pytorch | ✅ | ❌ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | View Source |
| nlp causal lm | Phi-1 | Phi 1 | pytorch | ✅ | ❌ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | View Source |
| cv object det | PointPillars | pointpillars | pytorch | ✅ | ❌ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | View Source |
| nlp causal lm | Qwen 2.5 Coder | 32B Instruct | pytorch | ✅ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | ✅ | View Source |
| nlp causal lm | GPT-2 | Base | jax | ✅ | ❌ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | View Source |
| nlp causal lm | Gemma | 1.1 7B IT | pytorch | ✅ | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ✅ | View Source |
| cv image cls | MNIST | Cnn Nodropout | pytorch | ✅ | ❌ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | View Source |
| cv image cls | MNIST | Mlp Custom 1x2 | jax | ✅ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | ✅ | View Source |
| cv object det | YOLOS Small | Small | pytorch | ✅ | ❌ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | View Source |
| nlp causal lm | Qwen 2.5 Coder | 0.5B | jax | ✅ | ❌ | ✅ | ✅ | ✅ | ✅ | ❌ | ✅ | View Source |
| nlp causal lm | Qwen 3 | 8B | pytorch | ✅ | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ✅ | View Source |
| conditional generation | U-Net for Conditional Generation | Base | pytorch | ✅ | ❌ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | View Source |
| nlp causal lm | Qwen 3 | 14B | pytorch | ✅ | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ✅ | View Source |
| nlp causal lm | Gemma | 2 27B IT | pytorch | ✅ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | ✅ | View Source |
| nlp causal lm | Qwen 3 | 0 6B | pytorch | ✅ | ❌ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | View Source |
| nlp causal lm | Qwen 2.5 | 1.5B Instruct | pytorch | ✅ | ❌ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | View Source |
| nlp causal lm | Gemma | 2 9B IT | pytorch | ✅ | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ✅ | View Source |
| nlp causal lm | Mistral | 7B INSTRUCT v03 | pytorch | ✅ | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ✅ | View Source |
| nlp causal lm | Mistral | Magistral Small 2506 | pytorch | ✅ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | ✅ | View Source |
| nlp causal lm | Qwen 3 | 4B | pytorch | ✅ | ❌ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | View Source |
| cv image cls | Swin | S | pytorch | ✅ | ❌ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | View Source |
| cv image cls | MNIST | Cnn Batchnorm | jax | ✅ | ❌ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | View Source |
| nlp causal lm | Phi-2 | Phi 2 | pytorch | ✅ | ❌ | ❌ | ❌ | ✅ | ✅ | ❌ | ❌ | View Source |
| nlp embed gen | Qwen 3 | Embedding 4B | pytorch | ✅ | ❌ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | View Source |
| nlp causal lm | Llama | 3.1 8B Instruct | pytorch | ✅ | ❌ | ❌ | ✅ | ✅ | ✅ | ❌ | ✅ | View Source |
| cv object det | EfficientDet | D0 | pytorch | ✅ | ❌ | ✅ | ❌ | ✅ | ✅ | ❌ | ❌ | View Source |
| nlp causal lm | Mistral | Ministral 8B Instruct | pytorch | ✅ | ❌ | ❌ | ✅ | ❌ | ❌ | ❌ | ✅ | View Source |