Release v0.3.2

Highlight

• Support torch.compile, cuda graph for triton attention backend and DeepSeek MLA #1442 #1422
• Initial support for multi-LoRA serving #1307
• Integrate torchao for quantization #1341
• Optimize the CPU scheduler overhead
• Multiple critical bug fixes for llama and llava (tokenizer, modality)
• Support AMD backend #1420
• New models: MiniCPM3, OLMoE

What's Changed

• Remove useless fields in global_config.py by @merrymercy in #1328
• docs: update README by @zhyncs in #1336
• docs: highlight ttft itl and throughput by @zhyncs in #1337
• docs: add conclusion by @zhyncs in #1340
• Optimize schedule by @hnyls2002 in #1339
• Fix some online scheduling delay by @hnyls2002 in #1345
• [triton] Support head_dim not 2^n in triton extend and decode attention by @ByronHsu in #1281
• [Feat] Add modalities for vision server when handling pixel values for llava by @kcz358 in #1346
• [server] Passing model_override_args to launch_server via the CLI. by @kevin85421 in #1298
• [Minor] Many cleanup by @merrymercy in #1357
• Add torchao quant (int4/int8/fp8) to llama models by @jerryzh168 in #1341
• [CI] Return output logprobs in unit test by @Ying1123 in #1361
• Unify forward mode by @hnyls2002 in #1360
• Support OpenAI API json_schema response format by @zifeitong in #1363
• Adding Documentation for installation by @zhaochenyang20 in #1300
• [Docs] Improve documentations by @merrymercy in #1368
• fix bug of undefined is_single in meth create_abort_task by @wcsjtu in #1370
• Support MiniCPM3 by @Achazwl in #1371
• Fix CORS compatibility with OpenAI, vLLM, TGI, LMDeploy by @josephrocca in #1373
• [Minor] improve kill scripts and torchao import by @merrymercy in #1375
• Fix vocab mask update bug by @hnyls2002 in #1376
• [Minor] move triton attention kernels into a separate folder by @merrymercy in #1379
• Deprecate --disable-flashinfer and introduce --attention-backend by @merrymercy in #1380
• Organize flashinfer indices update by @hnyls2002 in #1378
• remove assertion in triton attention and add an unit test by @ByronHsu in #1385
• BaiChuan2 Model by @blacker521 in #1367
• [Fix] Fix --disable-flashinfer by @merrymercy in #1389
• Improve error reporting during server launch by @merrymercy in #1390
• Refactor attention backend by @merrymercy in #1381
• Add no commit to main rule by @hnyls2002 in #1393
• Fix README format by @Achazwl in #1399
• Support cuda graph in the triton attention backend by @merrymercy in #1401
• kernel: use tensor cores for flashinfer gqa kernels by @yzh119 in #1403
• [Minor Fix] Fix llava modalities issue for single-image by @kcz358 in #1402
• Add Support for XVERSE Models (Dense and MoE) to sglang by @hxer7963 in #1397
• [Feature] Initial support for multi-LoRA serving by @Ying1123 in #1307
• [Minor, CI] remove lora test from minimal suite by @Ying1123 in #1406
• Make stop reason a dict instead of str by @merrymercy in #1407
• [CI] Include triton backend and online serving benchmark into CI by @merrymercy in #1408
• [Minor] Raise exception for wrong import by @Ying1123 in #1409
• Balance test in CI by @merrymercy in #1411
• Update pr-test.yml by @merrymercy in #1412
• ci: fix finish by @zhyncs in #1414
• Optimize conflicts between CUDA graph and vocab mask tensors by @hnyls2002 in #1392
• Add torchao quant for mixtral and qwen_moe by @jerryzh168 in #1418
• Add pytorch sampling backend ut by @ispobock in #1425
• fix: resolve nightly eval by @zhyncs in #1426
• Enable torch.compile for triton backend by @merrymercy in #1422
• Add libibverbs-dev to Dockerfile by @Aphoh in #1427
• Update backend.md by @merrymercy in #1429
• [Fix] Fix logprob and normalized_logprob by @merrymercy in #1428
• Release v0.3.1 by @merrymercy in #1430
• Remove deprecated configs by @merrymercy in #1431
• [Feature] Support LoRA path renaming and add LoRA serving benchmarks by @Ying1123 in #1433
• Revert "[Minor] Raise exception for wrong import (#1409)" by @Ying1123 in #1432
• Add constrained_json_whitespace_pattern to ServerArgs by @zifeitong in #1438
• Clean up model loader by @merrymercy in #1440
• Simplify sampler and its error handling by @merrymercy in #1441
• [Feature, Hardware] Enable SGLang on AMD GPUs via PyTorch for ROCm by @HaiShaw in #1420
• Fix torch compile for deepseek-v2 by @ispobock in #1442
• Add OLMoE model by @janimo in #1444
• Release 0.3.1.post1 by @merrymercy in #1445
• Enable MLA by default by @ispobock in #1447
• Fix attention backend by @ispobock in #1448
• fix schedule bug by @hnyls2002 in #1450
• Fix schedule bug by @hnyls2002 in #1451
• Fixed n>1 causing list index out of range with VLM by @jasonyux in #1449
• Add bench_server_latency.py by @merrymercy in #1452
• [Bugfix] Enable SGLang on AMD GPUs via PyTorch for ROCm (#1419) by @HaiShaw in #1453
• Fix oom issues with fp8 for llama by @merrymercy in #1454
• Fuse top_k and top_k in the sampler by @merrymercy in #1457
• [Event] Add public meeting invite to README by @Ying1123 in #1458
• fix: creat new dict everytime for putting new frame by @Luodian in #1464
• Fix padding in the cuda graph by @merrymercy in #1469
• Release v0.3.1.post2 by @merrymercy in #1470
• Fix env vars in bench_latency by @merrymercy in #1472
• feat: update linear deps 1/N by @zhyncs in #1305
• minor: add quant eval compared with base by @zhyncs in #1475
• Add OLMoE by @Muennighoff in #1476
• Fix triton head num by @ispobock in #1482
• Add MLA gsm8k eval by @ispobock in #1484
• chore: bump v0.3.1.post3 by @zhyncs in #1483
• fix incorrect links in documentation by @rchen19 in #1481
• doc: update backend by @zhyncs in #1486
• Better unit tests for adding a new model by @merrymercy in #1488
• Pr fix max workers by @wellhowtosay in #1456
• Add a unit test for data parallelism by @merrymercy in #1489
• Add AMD tests to CI by @Ying1123 in #1491
• Update dockerfile to include datamodel_code_generator by @merrymercy in #1492
• [API, Feature] Support response prefill for openai API by @Ying1123 in #1490
• minor: add mla fp8 test by @zhyncs in #1494
• Fix the overhead due to penalizer in bench_latency by @merrymercy in #1496
• MoE torch compile by @ispobock in #1497
• [CI] Move AMD test to a separate file by @merrymercy in #1500
• Update test_srt_backend.py by @merrymercy in #1502
• debug radixcache stack_overflow by @luzengxiangcn in #1499
• Simplify bench_latency.py by @merrymercy in #1503
• [Fix] Fix clean_up_tokenization_spaces in tokenizer by @merrymercy in #1510
• Add support for tie_word_embeddings when loading weights + support for SmolLM by @TianyiQ in #1508
• Revert "kernel: use tensor cores for flashinfer gqa kernels" by @Ying1123 in #1511
• Release v0.3.2 by @Ying1123 in #1512

New Contributors

• @zifeitong made their first contribution in #1363
• @wcsjtu made their first contribution in #1370
• @Achazwl made their first contribution in #1371
• @josephrocca made their first contribution in #1373
• @blacker521 made their first contribution in #1367
• @yzh119 made their first contribution in #1403
• @hxer7963 made their first contribution in #1397
• @Aphoh made their first contribution in #1427
• @HaiShaw made their first contribution in #1420
• @jasonyux made their first contribution in #1449
• @Muennighoff made their first contribution in #1476
• @rchen19 made their first contribution in #1481
• @wellhowtosay made their first contribution in #1456
• @luzengxiangcn made their first contribution in #1499
• @TianyiQ made their first contribution in #1508

Full Changelog: v0.3.0...v0.3.2