Release v0.2.0

Highlights

• We performed extensive engineering to improve the base performance. Compared to TensorRT-LLM and vLLM, SGLang now consistently delivers superior or competitive performance in both online and offline scenarios, handling models from Llama-8B to Llama-405B, on A100 and H100 GPUs, using FP8 and FP16. See the latest blog.
• New models: Llama3 405B, Deepseek MoE, InternLM, GPTBigCode, Mistral-Nemo

What's Changed

• Optimize mem indices mangement by @hnyls2002 in #619
• Unify index operations by @hnyls2002 in #620
• Simplify mem state by @wisclmy0611 in #623
• Improve tensor parallel performance by @Ying1123 in #625
• Bump version to 0.1.21 by @Ying1123 in #626
• Fix model forward grad by @hnyls2002 in #628
• Update docker file by @Ying1123 in #629
• Disable NCCL_NVLS by default by @Ying1123 in #631
• Add qwen2 tie word embedding by @yileld in #630
• Add support for VertexAI safety settings by @AidanCooper in #624
• Fix vertexai by @hnyls2002 in #633
• Reduce docker size by @hnyls2002 in #632
• clean up step function by @Ying1123 in #635
• feat: support internlm2 by @zhyncs in #636
• misc: add pre-commit config by @zhyncs in #637
• misc: add issue and pr template by @zhyncs in #638
• Flashinfer sample kernel by @hnyls2002 in #617
• Move global_server_args_dict by @hnyls2002 in #642
• Increase the capacity of the memory pool by @Ying1123 in #643
• feat: add check_env by @zhyncs in #645
• Remove the dependency of rpyc by @wisclmy0611 in #646
• misc: rm rpyc from PACKAGE_LIST by @zhyncs in #649
• fix: set ulimit -n 65535 by @zhyncs in #647
• feat: add lint workflow by @zhyncs in #648
• fix: resolve lint error by @zhyncs in #650
• Remove useless variables in infer_batch.py by @Ying1123 in #651
• Detokenize incrementally when streaming by @hnyls2002 in #653
• TokenizerManager.context_len should inherit from `server_args.conte… by @shrirajh in #654
• Remove cached triton launcher by @merrymercy in #656
• perf: reduce ttft and itl with stream_interval 1 by @zhyncs in #658
• feat: add benchmark serving by @zhyncs in #657
• refactor model loader [unreachable code]: initial refactor by @Ying1123 in #655
• misc: update SGLang package description by @zhyncs in #659
• Update Readme by @Ying1123 in #660
• feat: update check env by @zhyncs in #661
• Improve docs by @Ying1123 in #662
• Add benchmark instructions by @Ying1123 in #663
• Fix jump forward when streaming by @hnyls2002 in #665
• Fix kill process util by @ispobock in #666
• Add support for OpenAI API parallel sampling by @yichuan520030910320 in #640
• Update OpenAI API by @wisclmy0611 in #667
• Temporary fix invalid sample results by @hnyls2002 in #668
• Support random dataset in bench_serving.py by @merrymercy in #669
• Revert "Temporary fix invalid sample results" by @hnyls2002 in #673
• refactor model loader: initial refactor by @Ying1123 in #664
• Fix cuda graph with flashinfer by @merrymercy in #675
• Tmp fix illegal sample by @hnyls2002 in #676
• Update version to 0.1.22 by @Ying1123 in #677
• Fallback when sampling failed by @ispobock in #678
• feat: support TRT LLM benchmark and multiple benchmarks by @zhyncs in #670
• Decouple kv by @hnyls2002 in #679
• Support gpt-bigcode model class by @hnyls2002 in #681
• support non-streaming benchmark by @merrymercy in #682
• Fix StreamExecutor.fork() losing the current role start index. by @max99x in #684
• feat: update bench serving by @zhyncs in #685
• misc: update output file logic by @zhyncs in #686
• Allow disabling streaming in bench by @merrymercy in #687
• docs: update README by @zhyncs in #688
• Support Deepseek MoE Model by @hnyls2002 in #689
• misc: recommend to use chat model for benchmark by @zhyncs in #690
• Support Mistral-Nemo by @ispobock in #691
• docs: update README by @zhyncs in #692
• fix: update bench serving by @zhyncs in #694
• misc: update output token logic by @zhyncs in #695
• Tune params by @Ying1123 in #696
• Fix trt benchmark by @Ying1123 in #697
• misc: fix typo by @zhyncs in #698
• Fix flashinfer by @Ying1123 in #700
• Fix hf config loading by @ispobock in #702
• Use min new token ratio at start by @hnyls2002 in #701
• feat: add e2e latency by @zhyncs in #704
• Update vllm version to support llama3.1 by @Ying1123 in #705
• bump version to 0.1.23 by @Ying1123 in #706
• Reduce hardcoded logic of kernel usage by @wisclmy0611 in #707
• Fix multi-node deadlock by @merrymercy in #709
• Auto adjust new ratio by @hnyls2002 in #708
• Fix prefill size by @Ying1123 in #711
• docs: update README by @zhyncs in #712
• docs: update doc by @zhyncs in #713
• fix: llama 3.1 405b fp8 by @zhyncs in #714
• misc: update doc by @zhyncs in #715
• Improve benchmark scripts by @Ying1123 in #717
• Bump version to 0.1.24 by @Ying1123 in #718
• docs: update supported models by @zhyncs in #719
• docs: update comment by @zhyncs in #721
• chore: add close inactive issues workflow by @zhyncs in #722
• misc: update bulid instruction by @zhyncs in #724
• fix: fp8 config by @Ying1123 in #723
• Fix dockerfile and triton cache manager by @hnyls2002 in #720
• chore: bump v0.1.25 by @zhyncs in #725
• fix: resolve the logo display issue on the PyPI page by @zhyncs in #726
• misc: update bug issue template by @zhyncs in #727
• Revert "fix: fp8 config" by @Ying1123 in #728
• Fix bugs (fp8 checkpoints, triton cache manager) by @Ying1123 in #729
• Bump version to 0.2.0 by @Ying1123 in #730

New Contributors

• @yileld made their first contribution in #630
• @AidanCooper made their first contribution in #624
• @zhyncs made their first contribution in #636
• @shrirajh made their first contribution in #654
• @yichuan520030910320 made their first contribution in #640
• @max99x made their first contribution in #684

Full Changelog: v0.1.20...v0.2.0