v0.4.3
vllm-project/vllmv0.4.3Jun 1, 2024by github-actions[bot]
AI Summary
Major features include support for Falcon, IBM Granite, Snowflake arctic, and dynamic RoPE scaling. The release also introduces the Embedding API, OpenAI batch format support, and significant performance optimizations for FP8, Marlin, and Speculative Decoding.
Key Highlights
- Falcon model support
- IBM Granite Code model support
- Snowflake arctic model implementation
- Dynamic RoPE scaling support
- Long context LoRA support
- Embedding API support
- OpenAI batch file format support
- Automatic Prefix Caching
- Speculative decoding improvements (CUDA graph, TP>1 support)
New Features
- Falcon support
- IBM Granite support
- Snowflake arctic support
- Dynamic RoPE scaling
- Long context LoRA
- Embedding API
- OpenAI Batch
- MultiprocessingGPUExecutor
- Automatic Prefix Caching
- FP8 optimizations
- Marlin kernel improvements
- Speculative Decoding
Full Release Notes
## 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