vLLM v0.4.3stable Released Jun 01, 2024
Impact Score: 5/10

vLLM v0.4.3 โ€” Release Notes & Engineering Impact

Source available โ€” automated, not human-reviewed

Component: vllm ยท Channel: stable. Automated analysis, not a compatibility certification. How this works.

Analysis updated: 2026-11-01.

Compatibility not verified โ€” check source notes
$ python -m pip install 'vllm==0.4.3'
๐Ÿ“„ .MD
โšก Executive Summary (TL;DR)

vLLM v0.4.3. Source highlight: Added support for Falcon (#5069)

Who Does This Impact? (Role-Based Analysis)

๐Ÿ’ป Software Engineers & Devs

Check the source notes against the package and APIs you use before upgrading.

๐Ÿ“Š Product & Engineering Leads

Use the documented changes to assess relevance to your product; release frequency alone is not a quality measure.

โš™๏ธ DevOps & Security

Verify the target version, runtime requirements and rollback procedure in the official documentation.

โœจ New Features & Capabilities (6)

  • Added support for Falcon (#5069)
  • Added support for IBM Granite Code models (#4636)
  • Added blocksparse flash attention kernel and Phi-3-Small model (#4799)
  • Added Snowflake arctic model implementation (#4652, #4889, #4690)
  • Add base class for vision-language models (#4809)
  • Add fused_moe Triton configs (#4951)

โšก Performance & Enhancements (6)

  • Improve n-gram efficiency (#4724)
  • Marlin prefill performance improvement (about better on average) (#4983)
  • Improve FP8 linear layer performance (#4691)
  • improve paccess check (#4992)
  • [Kernel] [FP8] Improve FP8 linear layer performance
  • [CORE] Improvement in ranks code

๐Ÿ”ง Bug Fixes & Patches (6)

  • [Bugfix] Fix `asyncio.Task` not being subscriptable
  • [Bugfix] Fixed error in slice_lora_b for MergedQKVParallelLinearWithLora
  • [Bug fix][Core] fixup ngram not setup correctly
  • [Bugfix][Kernel] allow non-power-of-2 for prefix prefill with alibi
  • [CI/Test] fix swap test for multi gpu
  • [Speculative decoding] [Bugfix] Fix overallocation in ngram + spec logprobs
๐Ÿ“„ View Raw Release Notes (Original Developer Log)
## Highlights ### Model Support #### LLM * Added support for Falcon (#5069) * Added support for IBM Granite Code models (#4636) * Added blocksparse flash attention kernel and Phi-3-Small model (#4799) * Added Snowflake arctic model implementation (#4652, #4889, #4690) * Supported Dynamic RoPE scaling (#4638) * Supported for long context lora (#4787) #### Embedding Models * Intial support for Embedding API with e5-mistral-7b-instruct (#3734) * Cross-attention KV caching and memory-management towards encoder-decoder model support (#4837) #### Vision Language Model * Add base class for vision-language models (#4809) * Consolidate prompt arguments to LLM engines (#4328) * LLaVA model refactor (#4910) ### Hardware Support #### AMD * Add fused_moe Triton configs (#4951) * Add support for Punica kernels (#3140) * Extending the set of AMD tests with Regression, Basic Correctness, Distributed, Engine, Llava Tests (#4797) ### Production Engine #### Batch API * Support OpenAI batch file format (#4794) #### Making Ray Optional * Add `MultiprocessingGPUExecutor` (#4539) * Eliminate parallel worker per-step task scheduling overhead (#4894) #### Automatic Prefix Caching * Accelerating the hashing function by avoiding deep copies (#4696) #### Speculative Decoding * CUDA graph support (#4295) * Enable TP>1 speculative decoding (#4840) * Improve n-gram efficiency (#4724) ### Performance Optimization #### Quantization * Add GPTQ Marlin 2:4 sparse structured support (#4790) * Initial Activation Quantization Support (#4525) * Marlin prefill performance improvement (about better on average) (#4983) * Automatically Detect SparseML models (#5119) #### Better Attention Kernel * Use flash-attn for decoding (#3648) #### FP8 * Improve FP8 linear layer performance (#4691) * Add w8a8 CUTLASS kernels (#4749) * Support for CUTLASS kernels in CUDA graphs (#4954) * Load FP8 kv-cache scaling factors from checkpoints (#4893) * Make static FP8 scaling more robust (#4570) * Refactor FP8 kv-cache with NVIDIA float8_e4m3 support (#4535) #### Optimize Distributed Communication * change python dict to pytorch tensor (#4607) * change python dict to pytorch tensor for blocks to swap (#4659) * improve paccess check (#4992) * remove vllm-nccl (#5091) * support both cpu and device tensor in broadcast tensor dict (#4660) ### Extensible Architecture #### Pipeline Parallelism * refactor custom allreduce to support multiple tp groups (#4754) * refactor pynccl to hold multiple communicators (#4591) * Support PP PyNCCL Groups (#4988) ## What's Changed * Disable cuda version check in vllm-openai image by @zhaoyang-star in https://github.com/vllm-project/vllm/pull/4530 * [Bugfix] Fix `asyncio.Task` not being subscriptable by @DarkLight1337 in https://github.com/vllm-project/vllm/pull/4623 * [CI] use ccache actions properly in release workflow by @simon-mo in https://github.com/vllm-project/vllm/pull/4629 * [CI] Add retry for agent lost by @cadedaniel in https://github.com/vllm-project/vllm/pull/4633 * Update lm-format-enforcer to 0.10.1 by @noamgat in https://github.com/vllm-project/vllm/pull/4631 * [Kernel] Make static FP8 scaling more robust by @pcmoritz in https://github.com/vllm-project/vllm/pull/4570 * [Core][Optimization] change python dict to pytorch tensor by @youkaichao in https://github.com/vllm-project/vllm/pull/4607 * [Build/CI] Fixing 'docker run' to re-enable AMD CI tests. by @Alexei-V-Ivanov-AMD in https://github.com/vllm-project/vllm/pull/4642 * [Bugfix] Fixed error in slice_lora_b for MergedQKVParallelLinearWithLora by @FurtherAI in https://github.com/vllm-project/vllm/pull/4609 * [Core][Optimization] change copy-on-write from dict[int, list] to list by @youkaichao in https://github.com/vllm-project/vllm/pull/4648 * [Bug fix][Core] fixup ngram not setup correctly by @leiwen83 in https://github.com/vllm-project/vllm/pull/4551 * [Core][Distributed] support both cpu and device tensor in broadcast tensor dict by @youkaichao in https://github.com/vllm-project/vllm/pull/4660 * [Core] Optimize sampler get_logprobs by @rkooo567 in https://github.com/vllm-project/vllm/pull/4594 * [CI] Make mistral tests pass by @rkooo567 in https://github.com/vllm-project/vllm/pull/4596 * [Bugfix][Kernel] allow non-power-of-2 for prefix prefill with alibi by @DefTruth in https://github.com/vllm-project/vllm/pull/4573 * [Misc] Add `get_name` method to attention backends by @WoosukKwon in https://github.com/vllm-project/vllm/pull/4685 * [Core] Faster startup for LoRA enabled models by @Yard1 in https://github.com/vllm-project/vllm/pull/4634 * [Core][Optimization] change python dict to pytorch tensor for blocks to swap by @youkaichao in https://github.com/vllm-project/vllm/pull/4659 * [CI/Test] fix swap test for multi gpu by @youkaichao in https://github.com/vllm-project/vllm/pull/4689 * [Misc] Use vllm-flash-attn instead of flash-attn by @WoosukKwon in https://github.com/vllm-project/vllm/pull/4686 * [Dynamic Spec Decoding] Auto-disable by the running queue size by @comaniac in https://github.com/vllm-project/vllm/pull/4592 * [Speculative decoding] [Bugfix] Fix overallocation in ngram + spec logprobs by @cadedaniel in https://github.com/vllm-project/vllm/pull/4672 * [Bugfix] Fine-tune gptq_marlin configs to be more similar to marlin by @alexm-neuralmagic in https://github.com/vllm-project/vllm/pull/4626 * [Frontend] add tok/s speed metric to llm class when using tqdm by @MahmoudAshraf97 in https://github.com/vllm-project/vllm/pull/4400 * [Frontend] Move async logic outside of constructor by @DarkLight1337 in https://github.com/vllm-project/vllm/pull/4674 * [Misc] Remove unnecessary ModelRunner imports by @WoosukKwon in https://github.com/vllm-project/vllm/pull/4703 * [Misc] Set block size at initialization & Fix test_model_runner by @WoosukKwon in https://github.com/vllm-project/vllm/pull/4705 * [ROCm] Add support for Punica kernels on AMD GPUs by @kliuae in https://github.com/vllm-project/vllm/pull/3140 * [Bugfix] Fix CLI arguments in OpenAI server docs by @DarkLight1337 in https://github.com/vllm-project/vllm/pull/4709 * [Bugfix] Update grafana.json by @robertgshaw2-neuralmagic in https://github.com/vllm-project/vllm/pull/4711 * [Bugfix] Add logs for all model dtype casting by @mgoin in https://github.com/vllm-project/vllm/pull/4717 * [Model] Snowflake arctic model implementation by @sfc-gh-hazhang in https://github.com/vllm-project/vllm/pull/4652 * [Kernel] [FP8] Improve FP8 linear layer performance by @pcmoritz in https://github.com/vllm-project/vllm/pull/4691 * [Kernel] Refactor FP8 kv-cache with NVIDIA float8_e4m3 support by @comaniac in https://github.com/vllm-project/vllm/pull/4535 * [Core][Distributed] refactor pynccl to hold multiple communicators by @youkaichao in https://github.com/vllm-project/vllm/pull/4591 * [Misc] Keep only one implementation of the create_dummy_prompt function. by @AllenDou in https://github.com/vllm-project/vllm/pull/4716 * chunked-prefill-doc-syntax by @simon-mo in https://github.com/vllm-project/vllm/pull/4603 * [Core]fix type annotation for `swap_blocks` by @jikunshang in https://github.com/vllm-project/vllm/pull/4726 * [Misc] Apply a couple g++ cleanups by @stevegrubb in https://github.com/vllm-project/vllm/pull/4719 * [Core] Fix circular reference which leaked llm instance in local dev env by @rkooo567 in https://github.com/vllm-project/vllm/pull/4737 * [Bugfix] Fix CLI arguments in OpenAI server docs by @AllenDou in https://github.com/vllm-project/vllm/pull/4729 * [Speculative decoding] CUDA graph support by @heeju-kim2 in https://github.com/vllm-project/vllm/pull/4295 * [CI] Nits for bad initialization of SeqGroup in testing by @robertgshaw2-neuralmagic in https://github.com/vllm-project/vllm/pull/4748 * [Core][Test] fix function name typo in custom allreduce by @youkaichao in https://github.com/vllm-project/vllm/pull/4750 * [Model][Misc] Add e5-mistral-7b-instruct and Embedding API by @CatherineSue in https://github.com/vllm-project/vllm/pull/3734 * [Model] Add support for IBM Granite Code models by @yikangshen in https://github.com/vllm-project/vllm/pull/4636 * [CI/Build] Tweak Marlin Nondeterminism Issues In CI by @robertgshaw2-neuralmagic in https://github.com/vllm-project/vllm/pull/4713 * [CORE] Improvement in ranks code by @SwapnilDreams100 in https://github.com/vllm-project/vllm/pull/4718 * [Core][Distributed] refactor custom allreduce to support multiple tp groups by @youkaichao in https://github.com/vllm-project/vllm/pull/4754 * [CI/Build] Move `test_utils.py` to `tests/utils.py` by @DarkLight1337 in https://github.com/vllm-project/vllm/pull/4425 * [Scheduler] Warning upon preemption and Swapping by @rkooo567 in https://github.com/vllm-project/vllm/pull/4647 * [Misc] Enhance attention selector by @WoosukKwon in https://github.com/vllm-project/vllm/pull/4751 * [Frontend] [Core] perf: Automatically detect vLLM-tensorized model, update `tensorizer` to version 2.9.0 by @sangstar in https://github.com/vllm-project/vllm/pull/4208 * [Speculative decoding] Improve n-gram efficiency by @comaniac in https://github.com/vllm-project/vllm/pull/4724 * [Kernel] Use flash-attn for decoding by @skrider in https://github.com/vllm-project/vllm/pull/3648 * [Bugfix] Fix dynamic FP8 quantization for Mixtral by @pcmoritz in https://github.com/vllm-project/vllm/pull/4793 * [Doc] Shorten README by removing supported model list by @zhuohan123 in https://github.com/vllm-project/vllm/pull/4796 * [Doc] Add API reference for offline inference by @DarkLight1337 in https://github.com/vllm-project/vllm/pull/4710 * [Doc] Add meetups to the doc by @zhuohan123 in https://github.com/vllm-project/vllm/pull/4798 * [Core][Hash][Automatic Prefix caching] Accelerating the hashing function by avoiding deep copies by @KuntaiDu in https://github.com/vllm-project/vllm/pull/4696 * [Bugfix][Doc] Fix CI failure in docs by @DarkLight1337 in https://github.com/vllm-project/vllm/pull/4804 * [Core] Add MultiprocessingGPUExecutor by @njhill in https://github.com/vllm-project/vllm/pull/4539 * Add 4th meetup announcement to readme by @simon-mo in https://github.com/vllm-project/vllm/pull/4817 * Revert "[Kernel] Use flash-attn for decoding (#3648)" by @rkooo567 in https://github.com/vllm-project/vllm/pull/4820 * [Core][2/N] Model runner refactoring part 2. Combine prepare prefill / decode to a single API by @rkooo567 in https://github.com/vllm-project/vllm/pull/4681 * [CI/Build] Further decouple HuggingFace implementation from ours during tests by @DarkLight1337 in https://github.com/vllm-project/vllm/pull/4166 * [Bugfix] Properly set distributed_executor_backend in ParallelConfig by @zifeitong in https://github.com/vllm-project/vllm/pull/4816 * [Doc] Highlight the fourth meetup in the README by @zhuohan123 in https://github.com/vllm-project/vllm/pull/4842 * [Frontend] Re-enable custom roles in Chat Completions API by @DarkLight1337 in https://github.com/vllm-project/vllm/pull/4758 * [Frontend] Support OpenAI batch file format by @wuisawesome in https://github.com/vllm-project/vllm/pull/4794 * [Core] Implement sharded state loader by @aurickq in https://github.com/vllm-project/vllm/pull/4690 * [Speculative decoding][Re-take] Enable TP>1 speculative decoding by @comaniac in https://github.com/vllm-project/vllm/pull/4840 * Add marlin unit tests and marlin benchmark script by @alexm-neuralmagic in https://github.com/vllm-project/vllm/pull/4815 * [Kernel] add bfloat16 support for gptq marlin kernel by @jinzhen-lin in https://github.com/vllm-project/vllm/pull/4788 * [docs] Fix typo in examples filename openi -> openai by @wuisawesome in https://github.com/vllm-project/vllm/pull/4864 * [Frontend] Separate OpenAI Batch Runner usage from API Server by @wuisawesome in https://github.com/vllm-project/vllm/pull/4851 * [Bugfix] Bypass authorization API token for preflight requests by @dulacp in https://github.com/vllm-project/vllm/pull/4862 * Add GPTQ Marlin 2:4 sparse structured support by @alexm-neuralmagic in https://github.com/vllm-project/vllm/pull/4790 * Add JSON output support for benchmark_latency and benchmark_throughput by @simon-mo in https://github.com/vllm-project/vllm/pull/4848 * [ROCm][AMD][Bugfix] adding a missing triton autotune config by @hongxiayang in https://github.com/vllm-project/vllm/pull/4845 * [Core][Distributed] remove graph mode function by @youkaichao in https://github.com/vllm-project/vllm/pull/4818 * [Misc] remove old comments by @youkaichao in https://github.com/vllm-project/vllm/pull/4866 * [Kernel] Add punica dimension for Qwen1.5-32B LoRA by @Silencioo in https://github.com/vllm-project/vllm/pull/4850 * [Kernel] Add w8a8 CUTLASS kernels by @tlrmchlsmth in https://github.com/vllm-project/vllm/pull/4749 * [Bugfix] Fix FP8 KV cache support by @WoosukKwon in https://github.com/vllm-project/vllm/pull/4869 * Support to serve vLLM on Kubernetes with LWS by @kerthcet in https://github.com/vllm-project/vllm/pull/4829 * [Frontend] OpenAI API server: Do not add bos token by default when encoding by @bofenghuang in https://github.com/vllm-project/vllm/pull/4688 * [Build/CI] Extending the set of AMD tests with Regression, Basic Correctness, Distributed, Engine, Llava Tests by @Alexei-V-Ivanov-AMD in https://github.com/vllm-project/vllm/pull/4797 * [Bugfix] fix rope error when load models with different dtypes by @jinzhen-lin in https://github.com/vllm-project/vllm/pull/4835 * Sync huggingface modifications of qwen Moe model by @eigen2017 in https://github.com/vllm-project/vllm/pull/4774 * [Doc] Update Ray Data distributed offline inference example by @Yard1 in https://github.com/vllm-project/vllm/pull/4871 * [Bugfix] Relax tiktoken to >= 0.6.0 by @mgoin in https://github.com/vllm-project/vllm/pull/4890 * [ROCm][Hardware][AMD] Adding Navi21 to fallback to naive attention if Triton is not used by @alexeykondrat in https://github.com/vllm-project/vllm/pull/4658 * [Lora] Support long context lora by @rkooo567 in https://github.com/vllm-project/vllm/pull/4787 * [Bugfix][Model] Add base class for vision-language models by @DarkLight1337 in https://github.com/vllm-project/vllm/pull/4809 * [Kernel] Add marlin_24 unit tests by @alexm-neuralmagic in https://github.com/vllm-project/vllm/pull/4901 * [Kernel] Add flash-attn back by @WoosukKwon in https://github.com/vllm-project/vllm/pull/4907 * [Model] LLaVA model refactor by @DarkLight1337 in https://github.com/vllm-project/vllm/pull/4910 * Remove marlin warning by @alexm-neuralmagic in https://github.com/vllm-project/vllm/pull/4918 * [Bugfix]: Fix communication Timeout error in safety-constrained distributed System by @ZwwWayne in https://github.com/vllm-project/vllm/pull/4914 * [Build/CI] Enabling AMD Entrypoints Test by @Alexei-V-Ivanov-AMD in https://github.com/vllm-project/vllm/pull/4834 * [Bugfix] Fix dummy weight for fp8 by @mzusman in https://github.com/vllm-project/vllm/pull/4916 * [Core] Sharded State Loader download from HF by @aurickq in https://github.com/vllm-project/vllm/pull/4889 * [Doc]Add documentation to benchmarking script when running TGI by @KuntaiDu in https://github.com/vllm-project/vllm/pull/4920 * [Core] Fix scheduler considering "no LoRA" as "LoRA" by @Yard1 in https://github.com/vllm-project/vllm/pull/4897 * [Model] add rope_scaling support for qwen2 by @hzhwcmhf in https://github.com/vllm-project/vllm/pull/4930 * [Model] Add Phi-2 LoRA support by @Isotr0py in https://github.com/vllm-project/vllm/pull/4886 * [Docs] Add acknowledgment for sponsors by @simon-mo in https://github.com/vllm-project/vllm/pull/4925 * [CI/Build] Codespell ignore `build/` directory by @mgoin in https://github.com/vllm-project/vllm/pull/4945 * [Bugfix] Fix flag name for `max_seq_len_to_capture` by @kerthcet in https://github.com/vllm-project/vllm/pull/4935 * [Bugfix][Kernel] Add head size check for attention backend selection by @Isotr0py in https://github.com/vllm-project/vllm/pull/4944 * [Frontend] Dynamic RoPE scaling by @sasha0552 in https://github.com/vllm-project/vllm/pull/4638 * [CI/Build] Enforce style for C++ and CUDA code with `clang-format` by @mgoin in https://github.com/vllm-project/vllm/pull/4722 * [misc] remove comments that were supposed to be removed by @rkooo567 in https://github.com/vllm-project/vllm/pull/4977 * [Kernel] Fixup for CUTLASS kernels in CUDA graphs by @tlrmchlsmth in https://github.com/vllm-project/vllm/pull/4954 * [Misc] Load FP8 kv-cache scaling factors from checkpoints by @comaniac in https://github.com/vllm-project/vllm/pull/4893 * [Model] LoRA gptbigcode implementation by @raywanb in https://github.com/vllm-project/vllm/pull/3949 * [Core] Eliminate parallel worker per-step task scheduling overhead by @njhill in https://github.com/vllm-project/vllm/pull/4894 * [Minor] Fix small typo in llama.py: QKVParallelLinear -> QuantizationConfig by @pcmoritz in https://github.com/vllm-project/vllm/pull/4991 * [Misc] Take user preference in attention selector by @comaniac in https://github.com/vllm-project/vllm/pull/4960 * Marlin 24 prefill performance improvement (about 25% better on average) by @alexm-neuralmagic in https://github.com/vllm-project/vllm/pull/4983 * [Bugfix] Update Dockerfile.cpu to fix NameError: name 'vllm_ops' is not defined by @LetianLee in https://github.com/vllm-project/vllm/pull/5009 * [Core][1/N] Support PP PyNCCL Groups by @andoorve in https://github.com/vllm-project/vllm/pull/4988 * [Kernel] Initial Activation Quantization Support by @dsikka in https://github.com/vllm-project/vllm/pull/4525 * [Core]: Option To Use Prompt Token Ids Inside Logits Processor by @kezouke in https://github.com/vllm-project/vllm/pull/4985 * [Doc] add ccache guide in doc by @youkaichao in https://github.com/vllm-project/vllm/pull/5012 * [Bugfix] Fix Mistral v0.3 Weight Loading by @robertgshaw2-neuralmagic in https://github.com/vllm-project/vllm/pull/5005 * [Core][Bugfix]: fix prefix caching for blockv2 by @leiwen83 in https://github.com/vllm-project/vllm/pull/4764 * [Kernel][Backend][Model] Blocksparse flash attention kernel and Phi-3-Small model by @linxihui in https://github.com/vllm-project/vllm/pull/4799 * [Misc] add logging level env var by @youkaichao in https://github.com/vllm-project/vllm/pull/5045 * [Dynamic Spec Decoding] Minor fix for disabling speculative decoding by @LiuXiaoxuanPKU in https://github.com/vllm-project/vllm/pull/5000 * [Misc] Make Serving Benchmark More User-friendly by @ywang96 in https://github.com/vllm-project/vllm/pull/5044 * [Bugfix / Core] Prefix Caching Guards (merged with main) by @zhuohan123 in https://github.com/vllm-project/vllm/pull/4846 * [Core] Allow AQLM on Pascal by @sasha0552 in https://github.com/vllm-project/vllm/pull/5058 * [Model] Add support for falcon-11B by @Isotr0py in https://github.com/vllm-project/vllm/pull/5069 * [Core] Sliding window for block manager v2 by @mmoskal in https://github.com/vllm-project/vllm/pull/4545 * [BugFix] Fix Embedding Models with TP>1 by @robertgshaw2-neuralmagic in https://github.com/vllm-project/vllm/pull/5075 * [Kernel][ROCm][AMD] Add fused_moe Triton configs for MI300X by @divakar-amd in https://github.com/vllm-project/vllm/pull/4951 * [Docs] Add Dropbox as sponsors by @simon-mo in https://github.com/vllm-project/vllm/pull/5089 * [Core] Consolidate prompt arguments to LLM engines by @DarkLight1337 in https://github.com/vllm-project/vllm/pull/4328 * [Bugfix] Remove the last EOS token unless explicitly specified by @jsato8094 in https://github.com/vllm-project/vllm/pull/5077 * [Misc] add gpu_memory_utilization arg by @pandyamarut in https://github.com/vllm-project/vllm/pull/5079 * [Core][Optimization] remove vllm-nccl by @youkaichao in https://github.com/vllm-project/vllm/pull/5091 * [Bugfix] Fix arguments passed to `Sequence` in stop checker test by @DarkLight1337 in https://github.com/vllm-project/vllm/pull/5092 * [Core][Distributed] improve p2p access check by @youkaichao in https://github.com/vllm-project/vllm/pull/4992 * [Core] Cross-attention KV caching and memory-management (towards eventual encoder/decoder model support) by @afeldman-nm in https://github.com/vllm-project/vllm/pull/4837 * [Doc]Replace deprecated flag in readme by @ronensc in https://github.com/vllm-project/vllm/pull/4526 * [Bugfix][CI/Build] Fix test and improve code for `merge_async_iterators` by @DarkLight1337 in https://github.com/vllm-project/vllm/pull/5096 * [Bugfix][CI/Build] Fix codespell failing to skip files in `git diff` by @DarkLight1337 in https://github.com/vllm-project/vllm/pull/5097 * [Core] Avoid the need to pass `None` values to `Sequence.inputs` by @DarkLight1337 in https://github.com/vllm-project/vllm/pull/5099 * [Bugfix] logprobs is not compatible with the OpenAI spec #4795 by @Etelis in https://github.com/vllm-project/vllm/pull/5031 * [Doc][Build] update after removing vllm-nccl by @youkaichao in https://github.com/vllm-project/vllm/pull/5103 * [Bugfix] gptq_marlin: Ensure g_idx_sort_indices is not a Parameter by @alexm-neuralmagic in https://github.com/vllm-project/vllm/pull/5108 * [CI/Build] Docker cleanup functionality for amd servers by @okakarpa in https://github.com/vllm-project/vllm/pull/5112 * [BUGFIX] [FRONTEND] Correct chat logprobs by @br3no in https://github.com/vllm-project/vllm/pull/5029 * [Bugfix] Automatically Detect SparseML models by @robertgshaw2-neuralmagic in https://github.com/vllm-project/vllm/pull/5119 * [CI/Build] increase wheel size limit to 200 MB by @youkaichao in https://github.com/vllm-project/vllm/pull/5130 * [Misc] remove duplicate definition of `seq_lens_tensor` in model_runner.py by @ita9naiwa in https://github.com/vllm-project/vllm/pull/5129 * [Doc] Use intersphinx and update entrypoints docs by @DarkLight1337 in https://github.com/vllm-project/vllm/pull/5125 * add doc about serving option on dstack by @deep-diver in https://github.com/vllm-project/vllm/pull/3074 * Bump version to v0.4.3 by @simon-mo in https://github.com/vllm-project/vllm/pull/5046 * [Build] Disable sm_90a in cu11 by @simon-mo in https://github.com/vllm-project/vllm/pull/5141 * [Bugfix] Avoid Warnings in SparseML Activation Quantization by @robertgshaw2-neuralmagic in https://github.com/vllm-project/vllm/pull/5120 * [Kernel] Marlin_24: Ensure the mma.sp instruction is using the ::ordered_metadata modifier (introduced with PTX 8.5) by @alexm-neuralmagic in https://github.com/vllm-project/vllm/pull/5136 * [Model] Support MAP-NEO model by @xingweiqu in https://github.com/vllm-project/vllm/pull/5081 * Revert "[Kernel] Marlin_24: Ensure the mma.sp instruction is using the ::ordered_metadata modifier (introduced with PTX 8.5)" by @simon-mo in https://github.com/vllm-project/vllm/pull/5149 * [Misc]: optimize eager mode host time by @functionxu123 in https://github.com/vllm-project/vllm/pull/4196 * [Model] Enable FP8 QKV in MoE and refine kernel tuning script by @comaniac in https://github.com/vllm-project/vllm/pull/5039 * [Doc] Add checkmark for GPTBigCodeForCausalLM LoRA support by @njhill in https://github.com/vllm-project/vllm/pull/5171 * [Build] Guard against older CUDA versions when building CUTLASS 3.x kernels by @tlrmchlsmth in https://github.com/vllm-project/vllm/pull/5168 ## New Contributors * @MahmoudAshraf97 made their first contribution in https://github.com/vllm-project/vllm/pull/4400 * @sfc-gh-hazhang made their first contribution in https://github.com/vllm-project/vllm/pull/4652 * @stevegrubb made their first contribution in https://github.com/vllm-project/vllm/pull/4719 * @heeju-kim2 made their first contribution in https://github.com/vllm-project/vllm/pull/4295 * @yikangshen made their first contribution in https://github.com/vllm-project/vllm/pull/4636 * @KuntaiDu made their first contribution in https://github.com/vllm-project/vllm/pull/4696 * @wuisawesome made their first contribution in https://github.com/vllm-project/vllm/pull/4794 * @aurickq made their first contribution in https://github.com/vllm-project/vllm/pull/4690 * @jinzhen-lin made their first contribution in https://github.com/vllm-project/vllm/pull/4788 * @dulacp made their first contribution in https://github.com/vllm-project/vllm/pull/4862 * @Silencioo made their first contribution in https://github.com/vllm-project/vllm/pull/4850 * @tlrmchlsmth made their first contribution in https://github.com/vllm-project/vllm/pull/4749 * @kerthcet made their first contribution in https://github.com/vllm-project/vllm/pull/4829 * @bofenghuang made their first contribution in https://github.com/vllm-project/vllm/pull/4688 * @eigen2017 made their first contribution in https://github.com/vllm-project/vllm/pull/4774 * @alexeykondrat made their first contribution in https://github.com/vllm-project/vllm/pull/4658 * @ZwwWayne made their first contribution in https://github.com/vllm-project/vllm/pull/4914 * @mzusman made their first contribution in https://github.com/vllm-project/vllm/pull/4916 * @hzhwcmhf made their first contribution in https://github.com/vllm-project/vllm/pull/4930 * @raywanb made their first contribution in https://github.com/vllm-project/vllm/pull/3949 * @LetianLee made their first contribution in https://github.com/vllm-project/vllm/pull/5009 * @dsikka made their first contribution in https://github.com/vllm-project/vllm/pull/4525 * @kezouke made their first contribution in https://github.com/vllm-project/vllm/pull/4985 * @linxihui made their first contribution in https://github.com/vllm-project/vllm/pull/4799 * @divakar-amd made their first contribution in https://github.com/vllm-project/vllm/pull/4951 * @pandyamarut made their first contribution in https://github.com/vllm-project/vllm/pull/5079 * @afeldman-nm made their first contribution in https://github.com/vllm-project/vllm/pull/4837 * @Etelis made their first contribution in https://github.com/vllm-project/vllm/pull/5031 * @okakarpa made their first contribution in https://github.com/vllm-project/vllm/pull/5112 * @deep-diver made their first contribution in https://github.com/vllm-project/vllm/pull/3074 * @xingweiqu made their first contribution in https://github.com/vllm-project/vllm/pull/5081 * @functionxu123 made their first contribution in https://github.com/vllm-project/vllm/pull/4196 **Full Changelog**: https://github.com/vllm-project/vllm/compare/v0.4.2...v0.4.3