v0.6.6.post1

This release restore functionalities for other quantized MoEs, which was introduced as part of initial DeepSeek V3 support 🙇 .

What's Changed

• [Docs] Document Deepseek V3 support by @simon-mo in #11535
• Update openai_compatible_server.md by @robertgshaw2-neuralmagic in #11536
• [V1] Use FlashInfer Sampling Kernel for Top-P & Top-K Sampling by @WoosukKwon in #11394
• [V1] Fix yapf by @WoosukKwon in #11538
• [CI] Fix broken CI by @robertgshaw2-neuralmagic in #11543
• [misc] fix typing by @youkaichao in #11540
• [V1][3/N] API Server: Reduce Task Switching + Handle Abort Properly by @robertgshaw2-neuralmagic in #11534
• [BugFix] Deepseekv3 broke quantization for all other methods by @robertgshaw2-neuralmagic in #11547

Full Changelog: v0.6.6...v0.6.6.post1

v0.6.6

Highlights

• Support Deepseek V3 (#11523, #11502) model.

  • On 8xH200s or MI300x: vllm serve deepseek-ai/DeepSeek-V3 --tensor-parallel-size 8 --trust-remote-code --max-model-len 8192. The context lenght can be increased to about 32K beyond running into memory issue.
  • For other devices, follow our distributed inference guide to enable tensor parallel and/or pipeline parallel inference
  • We are just getting started for enhancing the support and unlock more performance. See #11539 for planned work.

• Last mile stretch for V1 engine refactoring: API Server (#11529, #11530), penalties for sampler (#10681), prefix caching for vision language models (#11187, #11305), TP Ray executor (#11107,#11472)

• Breaking change: X-Request-ID echoing is now opt-in instead of on by default for performance reason. Set --enable-request-id-headers to enable it.

Model Support

• IBM Granite 3.1 (#11307), JambaForSequenceClassification model (#10860)
• Add QVQ and QwQ to the list of supported models (#11509)

Performance

• Cutlass 2:4 Sparsity + FP8/Int8 Quant Support (#10995)

Production Engine

• Support streaming model from S3 using RunAI Model Streamer as optional loader (#10192)
• Online Pooling API (#11457)
• Load video from base64 (#11492)

Others

• Add pypi index for every commit and nightly build (#11404)

What's Changed

• [Bugfix] Set temperature=0.7 in test_guided_choice_chat by @mgoin in #11264
• [V1] Prefix caching for vision language models by @comaniac in #11187
• [Bugfix] Restore support for larger block sizes by @kzawora-intel in #11259
• [Bugfix] Fix guided decoding with tokenizer mode mistral by @wallashss in #11046
• [MISC][XPU]update ipex link for CI fix by @yma11 in #11278
• [Kernel]: Cutlass 2:4 Sparsity + FP8/Int8 Quant Support by @dsikka in #10995
• [Bugfix] Fix broken phi3-v mm_processor_kwargs tests by @Isotr0py in #11263
• [CI][Misc] Remove Github Action Release Workflow by @simon-mo in #11274
• [FIX] update openai version by @jikunshang in #11287
• [Bugfix] fix minicpmv test by @joerunde in #11304
• [V1] VLM - enable processor cache by default by @alexm-neuralmagic in #11305
• [Bugfix][Build/CI] Fix sparse CUTLASS compilation on CUDA [12.0, 12.2) by @tlrmchlsmth in https://github.com//pull/11311
• [Model] IBM Granite 3.1 by @tjohnson31415 in #11307
• [CI] Expand test_guided_generate to test all backends by @mgoin in #11313
• [V1] Simplify prefix caching logic by removing num_evictable_computed_blocks by @heheda12345 in #11310
• [VLM] Merged multimodal processor for Qwen2-Audio by @DarkLight1337 in #11303
• [Kernel] Refactor Cutlass c3x by @varun-sundar-rabindranath in #10049
• [Misc] Optimize ray worker initialization time by @ruisearch42 in #11275
• [misc] benchmark_throughput : Add LoRA by @varun-sundar-rabindranath in #11267
• [Feature] Add load generation config from model by @liuyanyi in #11164
• [Bugfix] Cleanup Pixtral HF code by @DarkLight1337 in #11333
• [Model] Add JambaForSequenceClassification model by @yecohn in #10860
• [V1] Fix multimodal profiling for Molmo by @ywang96 in #11325
• [Model] Refactor Qwen2-VL to use merged multimodal processor by @Isotr0py in #11258
• [Misc] Clean up and consolidate LRUCache by @DarkLight1337 in #11339
• [Bugfix] Fix broken CPU compressed-tensors test by @Isotr0py in #11338
• [Misc] Remove unused vllm/block.py by @Ghjk94522 in #11336
• [CI] Adding CPU docker pipeline by @zhouyuan in #11261
• [Bugfix][Hardware][POWERPC] Fix auto dtype failure in case of POWER10 by @Akashcodes732 in #11331
• [ci][gh200] dockerfile clean up by @youkaichao in #11351
• [Misc] Add tqdm progress bar during graph capture by @mgoin in #11349
• [Bugfix] Fix spec decoding when seed is none in a batch by @wallashss in #10863
• [misc] add early error message for custom ops by @youkaichao in #11355
• [doc] backward compatibility for 0.6.4 by @youkaichao in #11359
• [V1] Fix profiling for models with merged input processor by @ywang96 in #11370
• [CI/Build] fix pre-compiled wheel install for exact tag by @dtrifiro in #11373
• [Core] Loading model from S3 using RunAI Model Streamer as optional loader by @omer-dayan in #10192
• [Bugfix] Don't log OpenAI field aliases as ignored by @mgoin in #11378
• [doc] explain nccl requirements for rlhf by @youkaichao in #11381
• Add ray[default] to wget to run distributed inference out of box by @Jeffwan in #11265
• [V1][Bugfix] Skip hashing empty or None mm_data by @WoosukKwon in #11386
• [Bugfix] update should_ignore_layer by @horheynm in #11354
• [V1] Make AsyncLLMEngine v1-v0 opaque by @rickyyx in #11383
• [Bugfix] Fix issues for Pixtral-Large-Instruct-2411 by @ywang96 in #11393
• [CI] Fix flaky entrypoint tests by @ywang96 in #11403
• [cd][release] add pypi index for every commit and nightly build by @youkaichao in #11404
• [cd][release] fix race conditions by @youkaichao in #11407
• [Bugfix] Fix fully sharded LoRAs with Mixtral by @n1hility in #11390
• [CI] Unboock H100 Benchmark by @simon-mo in #11419
• [misc][perf] remove old code by @youkaichao in #11425
• mypy type checking for vllm/worker by @lucas-tucker in #11418
• [Bugfix] Fix CFGGuide and use outlines for grammars that can't convert to GBNF by @mgoin in #11389
• [Bugfix] torch nightly version in ROCm installation guide by @terrytangyuan in #11423
• [Misc] Add assertion and helpful message for marlin24 compressed models by @dsikka in #11388
• [Misc] add w8a8 asym models by @dsikka in #11075
• [CI] Expand OpenAI test_chat.py guided decoding tests by @mgoin in #11048
• [Bugfix] Add kv cache scales to gemma2.py by @mgoin in #11269
• [Doc] Fix typo in the help message of '--guided-decoding-backend' by @yansh97 in #11440
• [Docs] Convert rST to MyST (Markdown) by @rafvasq in #11145
• [V1] TP Ray executor by @ruisearch42 in #11107
• [Misc]Suppress irrelevant exception stack trace information when CUDA… by @shiquan1988 in #11438
• [Frontend] Online Pooling API by @DarkLight1337 in #11457
• [Bugfix] Fix Qwen2-VL LoRA weight loading by @jeejeelee in #11430
• [Bugfix][Hardware][CPU] Fix CPU input_positions creation for text-only inputs with mrope by @Isotr0py in #11434
• [OpenVINO] Fixed installation conflicts by @ilya-lavrenov in #11458
• [attn][tiny fix] fix attn backend in MultiHeadAttention by @MengqingCao in #11463
• [Misc] Move weights mapper by @jeejeelee in #11443
• [Bugfix] Fix issues in CPU build Dockerfile. Fixes #9182 by @terrytangyuan in #11435
• [Model] Automatic conversion of classification and reward models by @DarkLight1337 in #11469
• [V1] Unify VLLM_ENABLE_V1_MULTIPROCESSING handling in RayExecutor by @ruisearch42 in #11472
• [Misc] Update disaggregation benchmark scripts and test logs by @Jeffwan in #11456
• [Frontend] Enable decord to load video from base64 by @DarkLight1337 in #11492
• [Doc] Improve GitHub links by @DarkLight1337 in #11491
• [Misc] Move ...

v0.6.5

Highlights

• Significant progress on the V1 engine refactor and multimodal support: New model executable interfaces for text-only and multimodal models, multiprocessing, improved configuration handling, and profiling enhancements (#10374, #10570, #10699, #11074, #11076, #10382, #10665, #10564, #11125, #11185, #11242).
• Major improvements in torch.compile integration: Support for all attention backends, encoder-based models, dynamic FP8 fusion, shape specialization fixes, and performance optimizations (#10558, #10613, #10121, #10383, #10399, #10406, #10437, #10460, #10552, #10622, #10722, #10620, #10906, #11108, #11059, #11005, #10838, #11081, #11110).
• Expanded model support, including Aria, Cross Encoders, GLM-4, OLMo November 2024, Telechat2, LoRA improvements and multimodal Granite models (#10514, #10400, #10561, #10503, #10311, #10291, #9057, #10418, #5064).
• Use xgrammar as the default guided decoding backend (#10785)
• Improved hardware enablement for AMD ROCm, ARM AARCH64, TPU prefix caching, XPU AWQ/GPTQ, and various CPU/Gaudi/HPU/NVIDIA enhancements (#10254, #9228, #10307, #10107, #10667, #10565, #10239, #11016, #9735, #10355, #10700).
• Note: Changed default temperature for ChatCompletionRequest from 0.7 to 1.0 to align with OpenAI (#11219)

Model Support

• Added Aria (#10514), Cross Encoder (#10400), GLM-4 (#10561), OLMo (#10503), Telechat2 (#10311), Cohere R7B (#11203), GritLM embeddings (#10816)
• LoRA support for Internlm2, glm-4v, Pixtral-HF (#5064, #10418, #10795).
• Improved quantization (BNB, bitsandbytes) for multiple models (#10795, #10842, #10682, #10549)
• Expanded multimodal support (#10291, #11142).

Hardware Support

• AMD ROCm GGUF quantization (#10254), ARM AARCH64 enablement (#9228), TPU prefix caching (#10307), XPU AWQ/GPTQ (#10107), CPU/Gaudi/HPU enhancements (#10355, #10667, #10565, #10239, #11016, #9735, #10541, #10394, #10700).

Performance & Scheduling

• Prefix-cache aware scheduling (#10128), sliding window support (#10462), disaggregated prefill enhancements (#10502, #10884), evictor optimization (#7209).

Benchmark & Frontend

• Benchmark structured outputs and vision datasets (#10804, #10557, #10880, #10547).
• Frontend: Automatic chat format detection (#9919), input_audio support (#11027), CLI --version (#10369), extra fields in requests (#10463).

Documentation & Plugins

• Architecture overview (#10368), Helm chart (#9199), KubeAI integration (#10837), plugin system docs (#10372), disaggregated prefilling (#11197), structured outputs (#9943), usage section (#10827).

Bugfixes & Misc

• Updated defaults for chunked prefill (#10544)
• Add GH200 support (#11212, #11244)

What's Changed

• Add default value to avoid Falcon crash (#5363) by @wchen61 in #10347
• [Misc] Fix import error in tensorizer tests and cleanup some code by @DarkLight1337 in #10349
• [Doc] Remove float32 choice from --lora-dtype by @xyang16 in #10348
• [Bugfix] Fix fully sharded LoRA bug by @jeejeelee in #10352
• [Misc] Fix some help info of arg_utils to improve readability by @ShangmingCai in #10362
• [core][misc] keep compatibility for old-style classes by @youkaichao in #10356
• [Bugfix] Ensure special tokens are properly filtered out for guided structured output with MistralTokenizer by @gcalmettes in #10363
• [Misc] Bump up test_fused_moe tolerance by @ElizaWszola in #10364
• [Misc] bump mistral common version by @simon-mo in #10367
• [Docs] Add Nebius as sponsors by @simon-mo in #10371
• [Frontend] Add --version flag to CLI by @russellb in #10369
• [Doc] Move PR template content to docs by @russellb in #10159
• [Docs] Misc updates to TPU installation instructions by @mikegre-google in #10165
• [Frontend] Automatic detection of chat content format from AST by @DarkLight1337 in #9919
• [doc] add doc for the plugin system by @youkaichao in #10372
• [misc][plugin] improve log messages by @youkaichao in #10386
• [BugFix] [Kernel] Fix GPU SEGV occuring in fused_moe kernel by @rasmith in #10385
• [Misc] Update benchmark to support image_url file or http by @kakao-steve-ai in #10287
• [Misc] Medusa supports custom bias by @skylee-01 in #10361
• [Bugfix] Fix M-RoPE position calculation when chunked prefill is enabled by @imkero in #10388
• [V1] Add code owners for V1 by @WoosukKwon in #10397
• [2/N][torch.compile] make compilation cfg part of vllm cfg by @youkaichao in #10383
• [V1] Refactor model executable interface for all text-only language models by @ywang96 in #10374
• [CI/Build] Fix IDC hpu [Device not found] issue by @xuechendi in #10384
• [Bugfix][Hardware][CPU] Fix CPU embedding runner with tensor parallel by @Isotr0py in #10394
• [platforms] refactor cpu code by @youkaichao in #10402
• [Hardware] [HPU]add mark_step for hpu by @jikunshang in #10239
• [Bugfix] Fix mrope_position_delta in non-last prefill chunk by @imkero in #10403
• [Misc] Enhance offline_inference to support user-configurable paramet… by @wchen61 in #10392
• [Misc] Add uninitialized params tracking for AutoWeightsLoader by @Isotr0py in #10327
• [Bugfix] Ignore ray reinit error when current platform is ROCm or XPU by @HollowMan6 in #10375
• [4/N][torch.compile] clean up set_torch_compile_backend by @youkaichao in #10401
• [VLM] Report multi_modal_placeholders in output by @lk-chen in #10407
• [Model] Remove redundant softmax when using PoolingType.STEP by @Maybewuss in #10415
• [Model][LoRA]LoRA support added for glm-4v by @B-201 in #10418
• [Model] Remove transformers attention porting in VITs by @Isotr0py in #10414
• [Doc] Update doc for LoRA support in GLM-4V by @B-201 in #10425
• [5/N][torch.compile] torch.jit.script --> torch.compile by @youkaichao in #10406
• [Doc] Add documentation for Structured Outputs by @ismael-dm in #9943
• Fix open_collective value in FUNDING.yml by @andrew in #10426
• [Model][Bugfix] Support TP for PixtralHF ViT by @mgoin in #10405
• [Hardware][XPU] AWQ/GPTQ support for xpu backend by @yma11 in #10107
• [Kernel] Explicitly specify other value in tl.load calls by @angusYuhao in #9014
• [Kernel] Initial Machete W4A8 support + Refactors by @LucasWilkinson in #9855
• [3/N][torch.compile] consolidate custom op logging by @youkaichao in #10399
• [ci][bugfix] fix kernel tests by @youkaichao in #10431
• [misc] Allow partial prefix benchmarking & random input generation for prefix benchmarking by @rickyyx in #9929
• [ci/build] Have dependabot ignore all patch update by @khluu in #10436
• [Bugfix]Fix Phi-3 BNB online quantization by @jeejeelee in #10417
• [Platform][Refactor] Extract func get_default_attn_backend to Platform by @MengqingCao in #10358
• Add openai.beta.chat.completions.parse example to structured_outputs.rst by @mgoin in #10433
• [Bugfix] Guard for negative counter metrics to prevent crash by @tjohnson31415 in #10430
• [Misc] Avoid misleading warning messages by @jeejeelee in #10438
• [Doc] Add the start of an arch overview page by @russellb in #10368
• [misc][plugin] improve plugin loading by @youkaichao in #10443
• [CI][CPU] adding numa node number as container name suffix by @zhouyuan in #10441
• [BugFix] Fix hermes tool parser output error stream arguments in some cases (#10395) by @xiyuan-lee in #10398
• [Pixtral-Large] Pixtral actually has no bias in vision-lang adapter by @patrickvonplaten in #10449
• Fix: Build error seen on Power Architecture by @mikejuliet13 in #10421
• [Doc] fix link for page that was renamed by @russellb in #10455
• [6/N] to...

v0.6.4.post1

This patch release covers bug fixes (#10347, #10349, #10348, #10352, #10363), keep compatibility for vLLMConfig usage in out of tree models (#10356)

What's Changed

• Add default value to avoid Falcon crash (#5363) by @wchen61 in #10347
• [Misc] Fix import error in tensorizer tests and cleanup some code by @DarkLight1337 in #10349
• [Doc] Remove float32 choice from --lora-dtype by @xyang16 in #10348
• [Bugfix] Fix fully sharded LoRA bug by @jeejeelee in #10352
• [Misc] Fix some help info of arg_utils to improve readability by @ShangmingCai in #10362
• [core][misc] keep compatibility for old-style classes by @youkaichao in #10356
• [Bugfix] Ensure special tokens are properly filtered out for guided structured output with MistralTokenizer by @gcalmettes in #10363
• [Misc] Bump up test_fused_moe tolerance by @ElizaWszola in #10364
• [Misc] bump mistral common version by @simon-mo in #10367

New Contributors

• @wchen61 made their first contribution in #10347

Full Changelog: v0.6.4...v0.6.4.post1

v0.6.4

Highlights

• Significant progress in V1 engine core refactor (#9826, #10135, #10288, #10211, #10225, #10228, #10268, #9954, #10272, #9971, #10224, #10166, #9289, #10058, #9888, #9972, #10059, #9945, #9679, #9871, #10227, #10245, #9629, #10097, #10203, #10148). You can checkout more details regarding the design and plan ahead in our recent meetup slides
• Signficant progress in torch.compile support. Many models now support torch compile with TorchInductor. You can checkout our meetup slides for more details. (#9775, #9614, #9639, #9641, #9876, #9946, #9589, #9896, #9637, #9300, #9947, #9138, #9715, #9866, #9632, #9858, #9889)

Model Support

• New LLMs and VLMs: Idefics3 (#9767), H2OVL-Mississippi (#9747), Qwen2-Audio (#9248), Pixtral models in the HF Transformers format (#9036), FalconMamba (#9325), Florence-2 language backbone (#9555)
• New encoder-decoder embedding models: BERT (#9056), RoBERTa & XLM-RoBERTa (#9387)
• Expanded task support: Llama embeddings (#9806), Math-Shepherd (Mistral reward modeling) (#9697), Qwen2 classification (#9704), Qwen2 embeddings (#10184), VLM2Vec (Phi-3-Vision embeddings) (#9303), E5-V (LLaVA-NeXT embeddings) (#9576), Qwen2-VL embeddings (#9944)
  • Add user-configurable --task parameter for models that support both generation and embedding (#9424)
  • Chat-based Embeddings API (#9759)
• Tool calling parser for Granite 3.0 (#9027), Jamba (#9154), granite-20b-functioncalling (#8339)
• LoRA support for Granite 3.0 MoE (#9673), Idefics3 (#10281), Llama embeddings (#10071), Qwen (#9622), Qwen2-VL (#10022)
• BNB quantization support for Idefics3 (#10310), Mllama (#9720), Qwen2 (#9467, #9574), MiniCPMV (#9891)
• Unified multi-modal processor for VLM (#10040, #10044)
• Simplify model interface (#9933, #10237, #9938, #9958, #10007, #9978, #9983, #10205)

Hardware Support

• Gaudi: Add Intel Gaudi (HPU) inference backend (#6143)
• CPU: Add embedding models support for CPU backend (#10193)
• TPU: Correctly profile peak memory usage & Upgrade PyTorch XLA (#9438)
• Triton: Add Triton implementation for scaled_mm_triton to support fp8 and int8 SmoothQuant, symmetric case (#9857)

Performance

• Combine chunked prefill with speculative decoding (#9291)
• fused_moe Performance Improvement (#9384)

Engine Core

• Override HF config.json via CLI (#5836)
• Add goodput metric support (#9338)
• Move parallel sampling out from vllm core, paving way for V1 engine (#9302)
• Add stateless process group for easier integration with RLHF and disaggregated prefill (#10216, #10072)

Others

• Improvements to the pull request experience with DCO, mergify, stale bot, etc. (#9436, #9512, #9513, #9259, #10082, #10285, #9803)
• Dropped support for Python 3.8 (#10038, #8464)
• Basic Integration Test For TPU (#9968)
• Document the class hierarchy in vLLM (#10240), explain the integration with Hugging Face (#10173).
• Benchmark throughput now supports image input (#9851)

What's Changed

• [TPU] Fix TPU SMEM OOM by Pallas paged attention kernel by @WoosukKwon in #9350
• [Frontend] merge beam search implementations by @LunrEclipse in #9296
• [Model] Make llama3.2 support multiple and interleaved images by @xiangxu-google in #9095
• [Bugfix] Clean up some cruft in mamba.py by @tlrmchlsmth in #9343
• [Frontend] Clarify model_type error messages by @stevegrubb in #9345
• [Doc] Fix code formatting in spec_decode.rst by @mgoin in #9348
• [Bugfix] Update InternVL input mapper to support image embeds by @hhzhang16 in #9351
• [BugFix] Fix chat API continuous usage stats by @njhill in #9357
• pass ignore_eos parameter to all benchmark_serving calls by @gracehonv in #9349
• [Misc] Directly use compressed-tensors for checkpoint definitions by @mgoin in #8909
• [Bugfix] Fix vLLM UsageInfo and logprobs None AssertionError with empty token_ids by @CatherineSue in #9034
• [Bugfix][CI/Build] Fix CUDA 11.8 Build by @LucasWilkinson in #9386
• [Bugfix] Molmo text-only input bug fix by @mrsalehi in #9397
• [Misc] Standardize RoPE handling for Qwen2-VL by @DarkLight1337 in #9250
• [Model] VLM2Vec, the first multimodal embedding model in vLLM by @DarkLight1337 in #9303
• [CI/Build] Test VLM embeddings by @DarkLight1337 in #9406
• [Core] Rename input data types by @DarkLight1337 in #8688
• [Misc] Consolidate example usage of OpenAI client for multimodal models by @ywang96 in #9412
• [Model] Support SDPA attention for Molmo vision backbone by @Isotr0py in #9410
• Support mistral interleaved attn by @patrickvonplaten in #9414
• [Kernel][Model] Improve continuous batching for Jamba and Mamba by @mzusman in #9189
• [Model][Bugfix] Add FATReLU activation and support for openbmb/MiniCPM-S-1B-sft by @streaver91 in #9396
• [Performance][Spec Decode] Optimize ngram lookup performance by @LiuXiaoxuanPKU in #9333
• [CI/Build] mypy: Resolve some errors from checking vllm/engine by @russellb in #9267
• [Bugfix][Kernel] Prevent integer overflow in fp8 dynamic per-token quantize kernel by @tlrmchlsmth in #9425
• [BugFix] [Kernel] Fix GPU SEGV occurring in int8 kernels by @rasmith in #9391
• Add notes on the use of Slack by @terrytangyuan in #9442
• [Kernel] Add Exllama as a backend for compressed-tensors by @LucasWilkinson in #9395
• [Misc] Print stack trace using logger.exception by @DarkLight1337 in #9461
• [misc] CUDA Time Layerwise Profiler by @LucasWilkinson in #8337
• [Bugfix] Allow prefill of assistant response when using mistral_common by @sasha0552 in #9446
• [TPU] Call torch._sync(param) during weight loading by @WoosukKwon in #9437
• [Hardware][CPU] compressed-tensor INT8 W8A8 AZP support by @bigPYJ1151 in #9344
• [Core] Deprecating block manager v1 and make block manager v2 default by @KuntaiDu in #8704
• [CI/Build] remove .github from .dockerignore, add dirty repo check by @dtrifiro in #9375
• [Misc] Remove commit id file by @DarkLight1337 in #9470
• [torch.compile] Fine-grained CustomOp enabling mechanism by @ProExpertProg in #9300
• [Bugfix] Fix support for dimension like integers and ScalarType by @bnellnm in #9299
• [Bugfix] Add random_seed to sample_hf_requests in benchmark_serving script by @wukaixingxp in #9013
• [Bugfix] Print warnings related to mistral_common tokenizer only once by @sasha0552 in #9468
• [Hardwware][Neuron] Simplify model load for transformers-neuronx library by @sssrijan-amazon in #9380
• Support BERTModel (first encoder-only embedding model) by @robertgshaw2-neuralmagic in #9056
• [BugFix] Stop silent failures on compressed-tensors parsing by @dsikka in #9381
• [Bugfix][Core] Use torch.cuda.memory_stats() to profile peak memory usage by @joerunde in #9352
• [Qwen2.5] Support bnb quant for Qwen2.5 by @blueyo0 in #9467
• [CI/Build] Use commit hash references for github actions by @russellb in #9430
• [BugFix] Typing fixes to RequestOutput.prompt and beam search by @njhill in #9473
• [Frontend][Feature] Add jamba tool parser by @tomeras91 in #9154
• [BugFix] Fix and simplify completion API usage streaming by @njhill in #9475
• [CI/Build] Fix lint errors in mistral tokenizer by @DarkLight1337 in #9504
• [Bugfix] Fix offline_inference_with_prefix.py by @tlrmchlsmth in #9505
• [Misc] benchmark: Add option to set max concurrency by @russellb in #9390
• [Model] Add user-configurable task for models that support both generation and embedding by @DarkLight1337 in #9424
• [CI/Build] Add error matching config for mypy by @russellb in #9512
• [Model] Support Pixtral models ...

v0.6.3.post1

Highlights

New Models

• Support Ministral 3B and Ministral 8B via interleaved attention (#9414)
• Support multiple and interleaved images for Llama3.2 (#9095)
• Support VLM2Vec, the first multimodal embedding model in vLLM (#9303)

Important bug fix

• Fix chat API continuous usage stats (#9357)
• Fix vLLM UsageInfo and logprobs None AssertionError with empty token_ids (#9034)
• Fix Molmo text-only input bug (#9397)
• Fix CUDA 11.8 Build (#9386)
• Fix _version.py not found issue (#9375)

Other Enhancements

• Remove block manager v1 and make block manager v2 default (#8704)
• Spec Decode Optimize ngram lookup performance (#9333)

What's Changed

• [TPU] Fix TPU SMEM OOM by Pallas paged attention kernel by @WoosukKwon in #9350
• [Frontend] merge beam search implementations by @LunrEclipse in #9296
• [Model] Make llama3.2 support multiple and interleaved images by @xiangxu-google in #9095
• [Bugfix] Clean up some cruft in mamba.py by @tlrmchlsmth in #9343
• [Frontend] Clarify model_type error messages by @stevegrubb in #9345
• [Doc] Fix code formatting in spec_decode.rst by @mgoin in #9348
• [Bugfix] Update InternVL input mapper to support image embeds by @hhzhang16 in #9351
• [BugFix] Fix chat API continuous usage stats by @njhill in #9357
• pass ignore_eos parameter to all benchmark_serving calls by @gracehonv in #9349
• [Misc] Directly use compressed-tensors for checkpoint definitions by @mgoin in #8909
• [Bugfix] Fix vLLM UsageInfo and logprobs None AssertionError with empty token_ids by @CatherineSue in #9034
• [Bugfix][CI/Build] Fix CUDA 11.8 Build by @LucasWilkinson in #9386
• [Bugfix] Molmo text-only input bug fix by @mrsalehi in #9397
• [Misc] Standardize RoPE handling for Qwen2-VL by @DarkLight1337 in #9250
• [Model] VLM2Vec, the first multimodal embedding model in vLLM by @DarkLight1337 in #9303
• [CI/Build] Test VLM embeddings by @DarkLight1337 in #9406
• [Core] Rename input data types by @DarkLight1337 in #8688
• [Misc] Consolidate example usage of OpenAI client for multimodal models by @ywang96 in #9412
• [Model] Support SDPA attention for Molmo vision backbone by @Isotr0py in #9410
• Support mistral interleaved attn by @patrickvonplaten in #9414
• [Kernel][Model] Improve continuous batching for Jamba and Mamba by @mzusman in #9189
• [Model][Bugfix] Add FATReLU activation and support for openbmb/MiniCPM-S-1B-sft by @streaver91 in #9396
• [Performance][Spec Decode] Optimize ngram lookup performance by @LiuXiaoxuanPKU in #9333
• [CI/Build] mypy: Resolve some errors from checking vllm/engine by @russellb in #9267
• [Bugfix][Kernel] Prevent integer overflow in fp8 dynamic per-token quantize kernel by @tlrmchlsmth in #9425
• [BugFix] [Kernel] Fix GPU SEGV occurring in int8 kernels by @rasmith in #9391
• Add notes on the use of Slack by @terrytangyuan in #9442
• [Kernel] Add Exllama as a backend for compressed-tensors by @LucasWilkinson in #9395
• [Misc] Print stack trace using logger.exception by @DarkLight1337 in #9461
• [misc] CUDA Time Layerwise Profiler by @LucasWilkinson in #8337
• [Bugfix] Allow prefill of assistant response when using mistral_common by @sasha0552 in #9446
• [TPU] Call torch._sync(param) during weight loading by @WoosukKwon in #9437
• [Hardware][CPU] compressed-tensor INT8 W8A8 AZP support by @bigPYJ1151 in #9344
• [Core] Deprecating block manager v1 and make block manager v2 default by @KuntaiDu in #8704
• [CI/Build] remove .github from .dockerignore, add dirty repo check by @dtrifiro in #9375

New Contributors

• @gracehonv made their first contribution in #9349
• @streaver91 made their first contribution in #9396

Full Changelog: v0.6.3...v0.6.3.post1

v0.6.3

Highlights

Model Support

• New Models:
  • Text: Granite MoE (#8206), Mamba (#6484, #8533)
  • Vision: GLM-4V (#9242), Molmo (#9016), NVLM-D (#9045)
  • Reward model support: Qwen2.5-Math-RM-72B (#8896)
• Expansion in functionality:
  • Add Gemma2 embedding model (#9004)
  • Support input embeddings for qwen2vl (#8856), minicpmv (#9237)
  • LoRA:
    • LoRA support for MiniCPMV2.5 (#7199), MiniCPMV2.6 (#8943)
    • Expand lora modules for mixtral (#9008)
  • Pipeline parallelism support to remaining text and embedding models (#7168, #9090)
  • Expanded bitsandbytes quantization support for Falcon, OPT, Gemma, Gemma2, and Phi (#9148)
  • Tool use:
    • Add support for Llama 3.1 and 3.2 tool use (#8343)
    • Support tool calling for InternLM2.5 (#8405)
• Out of tree support enhancements: Explicit interface for vLLM models and support OOT embedding models (#9108)

Documentation

• New compatibility matrix for mutual exclusive features (#8512)
• Reorganized installation doc, note that we publish a per-commit docker image (#8931)

Hardware Support:

• Cross-attention and Encoder-Decoder models support on x86 CPU backend (#9089)
• Support AWQ for CPU backend (#7515)
• Add async output processor for xpu (#8897)
• Add on-device sampling support for Neuron (#8746)

Architectural Enhancements

• Progress in vLLM's refactoring to a core core:
  • Spec decode removing batch expansion (#8839, #9298).
  • We have made block manager V2 the default. This is an internal refactoring for cleaner and more tested code path (#8678).
  • Moving beam search from the core to the API level (#9105, #9087, #9117, #8928)
  • Move guided decoding params into sampling params (#8252)
• Torch Compile:
  • You can now set an env var VLLM_TORCH_COMPILE_LEVEL to control torch.compile various levels of compilation control and integration (#9058). Along with various improvements (#8982, #9258, #906, #8875), using VLLM_TORCH_COMPILE_LEVEL=3 can turn on Inductor's full graph compilation without vLLM's custom ops.

Others

• Performance enhancements to turn on multi-step scheeduling by default (#8804, #8645, #8378)
• Enhancements towards priority scheduling (#8965, #8956, #8850)

What's Changed

• [Misc] Update config loading for Qwen2-VL and remove Granite by @ywang96 in #8837
• [Build/CI] Upgrade to gcc 10 in the base build Docker image by @tlrmchlsmth in #8814
• [Docs] Add README to the build docker image by @mgoin in #8825
• [CI/Build] Fix missing ci dependencies by @fyuan1316 in #8834
• [misc][installation] build from source without compilation by @youkaichao in #8818
• [ci] Soft fail Entrypoints, Samplers, LoRA, Decoder-only VLM by @khluu in #8872
• [Bugfix] Include encoder prompts len to non-stream api usage response by @Pernekhan in #8861
• [Misc] Change dummy profiling and BOS fallback warns to log once by @mgoin in #8820
• [Bugfix] Fix print_warning_once's line info by @tlrmchlsmth in #8867
• fix validation: Only set tool_choice auto if at least one tool is provided by @chiragjn in #8568
• [Bugfix] Fixup advance_step.cu warning by @tlrmchlsmth in #8815
• [BugFix] Fix test breakages from transformers 4.45 upgrade by @njhill in #8829
• [Installation] Allow lower versions of FastAPI to maintain Ray 2.9 compatibility by @DarkLight1337 in #8764
• [Feature] Add support for Llama 3.1 and 3.2 tool use by @maxdebayser in #8343
• [Core] Rename PromptInputs and inputs with backward compatibility by @DarkLight1337 in #8876
• [misc] fix collect env by @youkaichao in #8894
• [MISC] Fix invalid escape sequence '' by @panpan0000 in #8830
• [Bugfix][VLM] Fix Fuyu batching inference with max_num_seqs>1 by @Isotr0py in #8892
• [TPU] Update pallas.py to support trillium by @bvrockwell in #8871
• [torch.compile] use empty tensor instead of None for profiling by @youkaichao in #8875
• [Kernel] AQ AZP 4/4: Integrate asymmetric quantization to linear method by @ProExpertProg in #7271
• [Bugfix] fix for deepseek w4a16 by @LucasWilkinson in #8906
• [Core] Multi-Step + Single Step Prefills via Chunked Prefill code path by @varun-sundar-rabindranath in #8378
• [misc][distributed] add VLLM_SKIP_P2P_CHECK flag by @youkaichao in #8911
• [Core] Priority-based scheduling in async engine by @schoennenbeck in #8850
• [misc] fix wheel name by @youkaichao in #8919
• [Bugfix][Intel] Fix XPU Dockerfile Build by @tylertitsworth in #7824
• [Misc] Remove vLLM patch of BaichuanTokenizer by @DarkLight1337 in #8921
• [Bugfix] Fix code for downloading models from modelscope by @tastelikefeet in #8443
• [Bugfix] Fix PP for Multi-Step by @varun-sundar-rabindranath in #8887
• [CI/Build] Update models tests & examples by @DarkLight1337 in #8874
• [Frontend] Make beam search emulator temperature modifiable by @nFunctor in #8928
• [Bugfix] Support testing prefill throughput with benchmark_serving.py --hf-output-len 1 by @heheda12345 in #8891
• [doc] organize installation doc and expose per-commit docker by @youkaichao in #8931
• [Core] Improve choice of Python multiprocessing method by @russellb in #8823
• [Bugfix] Block manager v2 with preemption and lookahead slots by @sroy745 in #8824
• [Bugfix] Fix Marlin MoE act order when is_k_full == False by @ElizaWszola in #8741
• [CI/Build] Add test decorator for minimum GPU memory by @DarkLight1337 in #8925
• [Build/CI] Set FETCHCONTENT_BASE_DIR to one location for better caching by @tlrmchlsmth in #8930
• [Model] Support Qwen2.5-Math-RM-72B by @zhuzilin in #8896
• [Model][LoRA]LoRA support added for MiniCPMV2.5 by @jeejeelee in #7199
• [BugFix] Fix seeded random sampling with encoder-decoder models by @njhill in #8870
• [Misc] Fix typo in BlockSpaceManagerV1 by @juncheoll in #8944
• [Frontend] Added support for HF's new continue_final_message parameter by @danieljannai21 in #8942
• [Kernel][Model] Varlen prefill + Prefill chunking support for mamba kernels and Jamba model by @mzusman in #8533
• [Model] support input embeddings for qwen2vl by @whyiug in #8856
• [Misc][CI/Build] Include cv2 via mistral_common[opencv] by @ywang96 in #8951
• [Model][LoRA]LoRA support added for MiniCPMV2.6 by @jeejeelee in #8943
• [Model] Expose InternVL2 max_dynamic_patch as a mm_processor_kwarg by @Isotr0py in #8946
• [Core] Make scheduling policy settable via EngineArgs by @schoennenbeck in #8956
• [Misc] Adjust max_position_embeddings for LoRA compatibility by @jeejeelee in #8957
• [ci] Add CODEOWNERS for test directories by @khluu in #8795
• [CI][SpecDecode] Fix spec decode tests, use flash attention backend for spec decode CI tests. by @LiuXiaoxuanPKU in #8975
• [Frontend][Core] Move guided decoding params into sampling params by @joerunde in #8252
• [CI/Build] Fix machete generated kernel files ordering by @khluu in #8976
• [torch.compile] fix tensor alias by @youkaichao in #8982
• [Misc] add process_weights_after_loading for DummyLoader by @divakar-amd in #8969
• [Bugfix] Fix Fuyu tensor parallel inference by @Isotr0py in #8986
• [Bugfix] Fix Token IDs Reference for MiniCPM-V When Images are Provided With No Placeholders by @alex-jw-brooks in #8991
• [Core] [Frontend] Priority scheduling for embeddings and in the OpenAI-API by @schoennenbeck in #8965
• [Doc] Update list of supported models by @DarkLight1337 in #8987
• Update benchmark_serving.py to read and write json-datasets, results in UTF8, for better compatibility with Windows by @vlsav in https://github.com...

v0.6.2

Highlights

Model Support

• Support Llama 3.2 models (#8811, #8822)

   vllm serve meta-llama/Llama-3.2-11B-Vision-Instruct --enforce-eager --max-num-seqs 16
  

• Beam search have been soft deprecated. We are moving towards a version of beam search that's more performant and also simplifying vLLM's core. (#8684, #8763, #8713)

  • ⚠️ You will see the following error now, this is breaking change!

    Using beam search as a sampling parameter is deprecated, and will be removed in the future release. Please use the vllm.LLM.use_beam_search method for dedicated beam search instead, or set the environment variable VLLM_ALLOW_DEPRECATED_BEAM_SEARCH=1 to suppress this error. For more details, see #8306

• Support for Solar Model (#8386), minicpm3 (#8297), LLaVA-Onevision model support (#8486)

• Enhancements: pp for qwen2-vl (#8696), multiple images for qwen-vl (#8247), mistral function calling (#8515), bitsandbytes support for Gemma2 (#8338), tensor parallelism with bitsandbytes quantization (#8434)

Hardware Support

• TPU: implement multi-step scheduling (#8489), use Ray for default distributed backend (#8389)
• CPU: Enable mrope and support Qwen2-VL on CPU backend (#8770)
• AMD: custom paged attention kernel for rocm (#8310), and fp8 kv cache support (#8577)

Production Engine

• Initial support for priority sheduling (#5958)
• Support Lora lineage and base model metadata management (#6315)
• Batch inference for llm.chat() API (#8648)

Performance

• Introduce MQLLMEngine for API Server, boost throughput 30% in single step and 7% in multistep (#8157, #8761, #8584)
• Multi-step scheduling enhancements
  • Prompt logprobs support in Multi-step (#8199)
  • Add output streaming support to multi-step + async (#8335)
  • Add flashinfer backend (#7928)
• Add cuda graph support during decoding for encoder-decoder models (#7631)

Others

• Support sample from HF datasets and image input for benchmark_serving (#8495)
• Progress in torch.compile integration (#8488, #8480, #8384, #8526, #8445)

What's Changed

• [MISC] Dump model runner inputs when crashing by @comaniac in #8305
• [misc] remove engine_use_ray by @youkaichao in #8126
• [TPU] Use Ray for default distributed backend by @WoosukKwon in #8389
• Fix the AMD weight loading tests by @mgoin in #8390
• [Bugfix]: Fix the logic for deciding if tool parsing is used by @tomeras91 in #8366
• [Gemma2] add bitsandbytes support for Gemma2 by @blueyo0 in #8338
• [Misc] Raise error when using encoder/decoder model with cpu backend by @kevin314 in #8355
• [Misc] Use RoPE cache for MRoPE by @WoosukKwon in #8396
• [torch.compile] hide slicing under custom op for inductor by @youkaichao in #8384
• [Hotfix][VLM] Fixing max position embeddings for Pixtral by @ywang96 in #8399
• [Bugfix] Fix InternVL2 inference with various num_patches by @Isotr0py in #8375
• [Model] Support multiple images for qwen-vl by @alex-jw-brooks in #8247
• [BugFix] lazy init _copy_stream to avoid torch init wrong gpu instance by @lnykww in #8403
• [BugFix] Fix Duplicate Assignment of Class Variable in Hermes2ProToolParser by @vegaluisjose in #8423
• [Bugfix] Offline mode fix by @joerunde in #8376
• [multi-step] add flashinfer backend by @SolitaryThinker in #7928
• [Core] Add engine option to return only deltas or final output by @njhill in #7381
• [Bugfix] multi-step + flashinfer: ensure cuda graph compatible by @alexm-neuralmagic in #8427
• [Hotfix][Core][VLM] Disable chunked prefill by default and prefix caching for multimodal models by @ywang96 in #8425
• [CI/Build] Disable multi-node test for InternVL2 by @ywang96 in #8428
• [Hotfix][Pixtral] Fix multiple images bugs by @patrickvonplaten in #8415
• [Bugfix] Fix weight loading issue by rename variable. by @wenxcs in #8293
• [Misc] Update Pixtral example by @ywang96 in #8431
• [BugFix] fix group_topk by @dsikka in #8430
• [Core] Factor out input preprocessing to a separate class by @DarkLight1337 in #7329
• [Bugfix] Mapping physical device indices for e2e test utils by @ShangmingCai in #8290
• [Bugfix] Bump fastapi and pydantic version by @DarkLight1337 in #8435
• [CI/Build] Update pixtral tests to use JSON by @DarkLight1337 in #8436
• [Bugfix] Fix async log stats by @alexm-neuralmagic in #8417
• [bugfix] torch profiler bug for single gpu with GPUExecutor by @SolitaryThinker in #8354
• bump version to v0.6.1.post1 by @simon-mo in #8440
• [CI/Build] Enable InternVL2 PP test only on single node by @Isotr0py in #8437
• [doc] recommend pip instead of conda by @youkaichao in #8446
• [Misc] Skip loading extra bias for Qwen2-VL GPTQ-Int8 by @jeejeelee in #8442
• [misc][ci] fix quant test by @youkaichao in #8449
• [Installation] Gate FastAPI version for Python 3.8 by @DarkLight1337 in #8456
• [plugin][torch.compile] allow to add custom compile backend by @youkaichao in #8445
• [CI/Build] Reorganize models tests by @DarkLight1337 in #7820
• [Doc] Add oneDNN installation to CPU backend documentation by @Isotr0py in #8467
• [HotFix] Fix final output truncation with stop string + streaming by @njhill in #8468
• bump version to v0.6.1.post2 by @simon-mo in #8473
• [Hardware][intel GPU] bump up ipex version to 2.3 by @jikunshang in #8365
• [Kernel][Hardware][Amd]Custom paged attention kernel for rocm by @charlifu in #8310
• [Model] support minicpm3 by @SUDA-HLT-ywfang in #8297
• [torch.compile] fix functionalization by @youkaichao in #8480
• [torch.compile] add a flag to disable custom op by @youkaichao in #8488
• [TPU] Implement multi-step scheduling by @WoosukKwon in #8489
• [Bugfix][Model] Fix Python 3.8 compatibility in Pixtral model by updating type annotations by @chrisociepa in #8490
• [Bugfix][Kernel] Add IQ1_M quantization implementation to GGUF kernel by @Isotr0py in #8357
• [Kernel] Enable 8-bit weights in Fused Marlin MoE by @ElizaWszola in #8032
• [Frontend] Expose revision arg in OpenAI server by @lewtun in #8501
• [BugFix] Fix clean shutdown issues by @njhill in #8492
• [Bugfix][Kernel] Fix build for sm_60 in GGUF kernel by @sasha0552 in #8506
• [Kernel] AQ AZP 3/4: Asymmetric quantization kernels by @ProExpertProg in #7270
• [doc] update doc on testing and debugging by @youkaichao in #8514
• [Bugfix] Bind api server port before starting engine by @kevin314 in #8491
• [perf bench] set timeout to debug hanging by @simon-mo in #8516
• [misc] small qol fixes for release process by @simon-mo in #8517
• [Bugfix] Fix 3.12 builds on main by @joerunde in #8510
• [refactor] remove triton based sampler by @simon-mo in #8524
• [Frontend] Improve Nullable kv Arg Parsing by @alex-jw-brooks in #8525
• [Misc][Bugfix] Disable guided decoding for mistral tokenizer by @ywang96 in #8521
• [torch.compile] register allreduce operations as custom ops by @youkaichao in #8526
• [Misc] Limit to ray[adag] 2.35 to avoid backward incompatible change by @ruisearch42 in #8509
• [Benchmark] Support sample from HF datasets and image input for benchmark_serving by @Isotr0py in #8495
• [Encoder decoder] Add cuda graph support during decoding for encoder-decoder models by @sroy745 in #7631
• [Feature][kernel] tensor parallelism with bitsandbytes quantizati...

v0.6.1.post2

Highlights

• This release contains an important bugfix related to token streaming combined with stop string (#8468)

What's Changed

• [CI/Build] Enable InternVL2 PP test only on single node by @Isotr0py in #8437
• [doc] recommend pip instead of conda by @youkaichao in #8446
• [Misc] Skip loading extra bias for Qwen2-VL GPTQ-Int8 by @jeejeelee in #8442
• [misc][ci] fix quant test by @youkaichao in #8449
• [Installation] Gate FastAPI version for Python 3.8 by @DarkLight1337 in #8456
• [plugin][torch.compile] allow to add custom compile backend by @youkaichao in #8445
• [CI/Build] Reorganize models tests by @DarkLight1337 in #7820
• [Doc] Add oneDNN installation to CPU backend documentation by @Isotr0py in #8467
• [HotFix] Fix final output truncation with stop string + streaming by @njhill in #8468
• bump version to v0.6.1.post2 by @simon-mo in #8473

Full Changelog: v0.6.1.post1...v0.6.1.post2

v0.6.1.post1

Highlights

This release features important bug fixes and enhancements for

• Pixtral models. (#8415, #8425, #8399, #8431)
  • Chunked scheduling has been turned off for vision models. Please replace --max_num_batched_tokens 16384 with --max-model-len 16384
• Multistep scheduling. (#8417, #7928, #8427)
• Tool use. (#8423, #8366)

Also

• support multiple images for qwen-vl (#8247)
• removes engine_use_ray (#8126)
• add engine option to return only deltas or final output (#7381)
• add bitsandbytes support for Gemma2 (#8338)

What's Changed

• [MISC] Dump model runner inputs when crashing by @comaniac in #8305
• [misc] remove engine_use_ray by @youkaichao in #8126
• [TPU] Use Ray for default distributed backend by @WoosukKwon in #8389
• Fix the AMD weight loading tests by @mgoin in #8390
• [Bugfix]: Fix the logic for deciding if tool parsing is used by @tomeras91 in #8366
• [Gemma2] add bitsandbytes support for Gemma2 by @blueyo0 in #8338
• [Misc] Raise error when using encoder/decoder model with cpu backend by @kevin314 in #8355
• [Misc] Use RoPE cache for MRoPE by @WoosukKwon in #8396
• [torch.compile] hide slicing under custom op for inductor by @youkaichao in #8384
• [Hotfix][VLM] Fixing max position embeddings for Pixtral by @ywang96 in #8399
• [Bugfix] Fix InternVL2 inference with various num_patches by @Isotr0py in #8375
• [Model] Support multiple images for qwen-vl by @alex-jw-brooks in #8247
• [BugFix] lazy init _copy_stream to avoid torch init wrong gpu instance by @lnykww in #8403
• [BugFix] Fix Duplicate Assignment of Class Variable in Hermes2ProToolParser by @vegaluisjose in #8423
• [Bugfix] Offline mode fix by @joerunde in #8376
• [multi-step] add flashinfer backend by @SolitaryThinker in #7928
• [Core] Add engine option to return only deltas or final output by @njhill in #7381
• [Bugfix] multi-step + flashinfer: ensure cuda graph compatible by @alexm-neuralmagic in #8427
• [Hotfix][Core][VLM] Disable chunked prefill by default and prefix caching for multimodal models by @ywang96 in #8425
• [CI/Build] Disable multi-node test for InternVL2 by @ywang96 in #8428
• [Hotfix][Pixtral] Fix multiple images bugs by @patrickvonplaten in #8415
• [Bugfix] Fix weight loading issue by rename variable. by @wenxcs in #8293
• [Misc] Update Pixtral example by @ywang96 in #8431
• [BugFix] fix group_topk by @dsikka in #8430
• [Core] Factor out input preprocessing to a separate class by @DarkLight1337 in #7329
• [Bugfix] Mapping physical device indices for e2e test utils by @ShangmingCai in #8290
• [Bugfix] Bump fastapi and pydantic version by @DarkLight1337 in #8435
• [CI/Build] Update pixtral tests to use JSON by @DarkLight1337 in #8436
• [Bugfix] Fix async log stats by @alexm-neuralmagic in #8417
• [bugfix] torch profiler bug for single gpu with GPUExecutor by @SolitaryThinker in #8354
• bump version to v0.6.1.post1 by @simon-mo in #8440

New Contributors

• @blueyo0 made their first contribution in #8338
• @lnykww made their first contribution in #8403
• @vegaluisjose made their first contribution in #8423

Full Changelog: v0.6.1...v0.6.1.post1