vllm-project/vllm v0.3.1

on GitHub

Major Changes

This version fixes the following major bugs:

• Memory leak with distributed execution. (Solved by using CuPY for collective communication).
• Support for Python 3.8.

Also with many smaller bug fixes listed below.

What's Changed

• Fixes assertion failure in prefix caching: the lora index mapping should respect prefix_len. by @sighingnow in #2688
• fix some bugs about parameter description by @zspo in #2689
• [Minor] Fix test_cache.py CI test failure by @pcmoritz in #2684
• Add unit test for Mixtral MoE layer by @pcmoritz in #2677
• Refactor Prometheus and Add Request Level Metrics by @rib-2 in #2316
• Add Internlm2 by @Leymore in #2666
• Fix compile error when using rocm by @zhaoyang-star in #2648
• fix python 3.8 syntax by @simon-mo in #2716
• Update README for meetup slides by @simon-mo in #2718
• Use revision when downloading the quantization config file by @Pernekhan in #2697
• remove hardcoded device="cuda" to support more device by @jikunshang in #2503
• fix length_penalty default value to 1.0 by @zspo in #2667
• Add one example to run batch inference distributed on Ray by @c21 in #2696
• docs: update langchain serving instructions by @mspronesti in #2736
• Set&Get llm internal tokenizer instead of the TokenizerGroup by @dancingpipi in #2741
• Remove eos tokens from output by default by @zcnrex in #2611
• add requirement: triton >= 2.1.0 by @whyiug in #2746
• [Minor] Fix benchmark_latency by @WoosukKwon in #2765
• [ROCm] Fix some kernels failed unit tests by @hongxiayang in #2498
• Set local logging level via env variable by @gardberg in #2774
• [ROCm] Fixup arch checks for ROCM by @dllehr-amd in #2627
• Add fused top-K softmax kernel for MoE by @WoosukKwon in #2769
• fix issue when model parameter is not a model id but path of the model. by @liuyhwangyh in #2489
• [Minor] More fix of test_cache.py CI test failure by @LiuXiaoxuanPKU in #2750
• [ROCm] Fix build problem resulted from previous commit related to FP8 kv-cache support by @hongxiayang in #2790
• Add documentation on how to do incremental builds by @pcmoritz in #2796
• [Ray] Integration compiled DAG off by default by @rkooo567 in #2471
• Disable custom all reduce by default by @WoosukKwon in #2808
• [ROCm] support Radeon™ 7900 series (gfx1100) without using flash-attention by @hongxiayang in #2768
• Add documentation section about LoRA by @pcmoritz in #2834
• Refactor 2 awq gemm kernels into m16nXk32 by @zcnrex in #2723
• Serving Benchmark Refactoring by @ywang96 in #2433
• [CI] Ensure documentation build is checked in CI by @simon-mo in #2842
• Refactor llama family models by @esmeetu in #2637
• Revert "Refactor llama family models" by @pcmoritz in #2851
• Use CuPy for CUDA graphs by @WoosukKwon in #2811
• Remove Yi model definition, please use LlamaForCausalLM instead by @pcmoritz in #2854
• Add LoRA support for Mixtral by @tterrysun in #2831
• Migrate InternLMForCausalLM to LlamaForCausalLM by @pcmoritz in #2860
• Fix internlm after #2860 by @pcmoritz in #2861
• [Fix] Fix memory profiling when GPU is used by multiple processes by @WoosukKwon in #2863
• Fix docker python version by @NikolaBorisov in #2845
• Migrate AquilaForCausalLM to LlamaForCausalLM by @esmeetu in #2867
• Don't use cupy NCCL for AMD backends by @WoosukKwon in #2855
• Align LoRA code between Mistral and Mixtral (fixes #2875) by @pcmoritz in #2880
• [BugFix] Fix GC bug for LLM class by @WoosukKwon in #2882
• Fix decilm.py by @pcmoritz in #2883
• [ROCm] Dockerfile fix for flash-attention build by @hongxiayang in #2885
• Prefix Caching- fix t4 triton error by @caoshiyi in #2517
• Bump up to v0.3.1 by @WoosukKwon in #2887

New Contributors

• @sighingnow made their first contribution in #2688
• @rib-2 made their first contribution in #2316
• @Leymore made their first contribution in #2666
• @Pernekhan made their first contribution in #2697
• @jikunshang made their first contribution in #2503
• @c21 made their first contribution in #2696
• @zcnrex made their first contribution in #2611
• @whyiug made their first contribution in #2746
• @gardberg made their first contribution in #2774
• @dllehr-amd made their first contribution in #2627
• @rkooo567 made their first contribution in #2471
• @ywang96 made their first contribution in #2433
• @tterrysun made their first contribution in #2831

Full Changelog: v0.3.0...v0.3.1