* fix: update pr-test-sgl-kernel (sgl-project#5399)

* kernel: support slightly faster merge_state_v2 cuda kernel (sgl-project#5381)

* chore: bump sgl-kernel 0.0.9 (sgl-project#5400)

* chore: upgrade sgl-kernel 0.0.9 (sgl-project#5401)

* Tiny fix DeepseekScalingRotaryEmbedding always use forward_native (sgl-project#5406)

* Fix bench_serving with random-ids (sgl-project#5214)

* [misc] fix ci flaky case (sgl-project#5352)

* [FIX] Fix concatenation error in capture_bs when open --disable-cuda-graph-padding and without MTP (sgl-project#5412)

* Support dynamic connection and TP 16 (sgl-project#5351)

Co-authored-by: luoyuan.luo <[email protected]>

* Fix broadcast use cuda device lead to memory capacity unbalanced (sgl-project#5416)

* [PD] Fix dynamic port support and MLA buffer for Mooncake (sgl-project#5415)

Signed-off-by: Shangming Cai <[email protected]>
Co-authored-by: ybyang <[email protected]>

* Distinguish bootstrap key only in decode server (sgl-project#5422)

* [PD] Remove unused bootstrap param and fix port table type (sgl-project#5423)

* [minor] cleanup cmakelists.txt (sgl-project#5420)

* bugfix: fix merge_state_v2 cuda graph (sgl-project#5419)

* chore: bump sgl-kernel v0.0.9.post1 (sgl-project#5430)

* fix: solve release issue (sgl-project#5434)

* BLackwell cutlass mla: Add check for bad page size/block num combinations (sgl-project#5431)

* feat: update model_specific_adjustment (sgl-project#5344)

Co-authored-by: hebiao064 <[email protected]>

* chore: upgrade sgl-kernel 0.0.9.post1 (sgl-project#5436)

* Fix ignore_eos parameter when loading a chat template (sgl-project#5264)

* add attention backend supporting matrix in the doc (sgl-project#5211)

Co-authored-by: Stefan He <[email protected]>

* Support BNB quantization for llama/mllama (sgl-project#5038)

Co-authored-by: Yuhao Yang <[email protected]>

* [Docs] Update start/install.md (sgl-project#5398)

* [Minor] Move torch.compile patch to a better place (sgl-project#5397)

* [Bug fix] need record start time in pd mode (sgl-project#5425)

* Support MHA with chunked prefix cache for DeepSeek chunked prefill (sgl-project#5113)

* chore: bump v0.4.5.post1 (sgl-project#5445)

* Fix several minor issues in PD disaggregation (sgl-project#5444)

* [doc] Update benchmark_and_profiling.md (sgl-project#5449)

* Update cutlass dependency. (sgl-project#5447)

* add multi-lora feature in README.md (sgl-project#5463)

* Clean up imports (sgl-project#5467)

* [verl] Modify the update_weights func to align with verl's resharding (sgl-project#5345)

Co-authored-by: Chayenne <[email protected]>

* [Model Support] unsloth/Phi-4-mini bnb model (sgl-project#4982)

Co-authored-by: yhyang201 <[email protected]>
Co-authored-by: Liangsheng Yin <[email protected]>
Co-authored-by: Chayenne <[email protected]>
Co-authored-by: Yineng Zhang <[email protected]>

* Update attention_backend.md: plural form (sgl-project#5489)

* Add test for flash_attn_varlen_func kernel (sgl-project#5484)

* Deprecate disable-mla (sgl-project#5481)

* Deprecate enable-flashinfer-mla and enable-flashmla (sgl-project#5480)

* Feat/support encoder model (like bert) (sgl-project#4887)

* Enable local attention during decode (sgl-project#5479)

* Refactor DeepSeek decoder layer branches (sgl-project#5205)

* Fix a link in sgl-kernel/README.md (sgl-project#5493)

* [Bug fix] use correct func path in deepseek (sgl-project#5496)

Signed-off-by: Xuchun Shang <[email protected]>

* Doc: fix problems of the 'Execute Notebooks / run-all-notebooks' ci caused by the unstability of deepseek-ai/DeepSeek-R1-Distill-Qwen-7B (sgl-project#5503)

* [Feat] Update sgl-kernel flashinfer to latest main version (sgl-project#5500)

Co-authored-by: zhyncs <[email protected]>

* Fix: Incorrect parameters passed to forward_batch_generation (sgl-project#5506) (sgl-project#5511)

* Fix: fix the exception 'the memory capacity is unbalanced. Some GPUs … (sgl-project#5426)

Co-authored-by: ocss884 <[email protected]>

* [docs] Fix several consistency issues in sampling_params.md (sgl-project#5373)

Signed-off-by: windsonsea <[email protected]>
Co-authored-by: Baizhou Zhang <[email protected]>

* Configuration qwen2_moe.py - qkv_bias now in transformers (sgl-project#5512)

* Introduce moe_dense_tp_size to fix dense layer errors in DeepSeek V3 + 4x8xH100 (sgl-project#4836)

* Sgl kernel fused_moe_gate support n_shared_experts (sgl-project#5440)

* chore: bump sgl-kernel 0.0.9.post2 (sgl-project#5518)

* use sglang_per_token_group_quant_fp8 from sgl-kernel instead of trion kernel (sgl-project#5473)

Co-authored-by: Zhang Kaihong <[email protected]>

* fix kimi vl running bug after rebase main (sgl-project#5461)

* fix bug of VLLM_AVAILABLE not defined (sgl-project#5497)

* Avoid computing lse in Ragged Prefill when there's no prefix. (sgl-project#5476)

Co-authored-by: Baizhou Zhang <[email protected]>

* [Model] Adding Qwen3 and Qwen3MoE (sgl-project#4693)

* fix util import (sgl-project#5542)

* Revert "Avoid computing lse in Ragged Prefill when there's no prefix.… (sgl-project#5544)

* chore: upgrade sgl-kernel 0.0.9.post2 (sgl-project#5540)

* Fix DeepGEMM masked cannot be run on groups not being multiple or 4 (sgl-project#5340)

* Make profiler output file names consistent (sgl-project#5548)

* [PD] Tiny fix timeout error when generate (sgl-project#5545)

* [PD] Fix no cache connect for recevier (sgl-project#5534)

* feat: use flashinfer jit package (sgl-project#5547)

* [PD] Remove the requirement of config file for mooncake backend  (sgl-project#5460)

* restruct compressed_tensors_w8a8_fp8 (sgl-project#5475)

* simplify the control logic for using shared experts fusion (sgl-project#5504)

* Remove one kernel in per_tensor_quant_mla_fp8 (sgl-project#5549)

* Fix sampler nan check when calling top_k_top_p_sampling_from_probs (sgl-project#5546)

* [PD] Support page size > 1 (sgl-project#5561)

* fix hicache write back (sgl-project#5543)

* Minor update for ROCm variable style (sgl-project#5562)

* Fix bench_one_batch producing unnatural results for expert parallel (sgl-project#5149)

* [perf] introduce deep gemm group_gemm_masked as bmm (sgl-project#5432)

* [PD] Fix DeepSeek cannot be run on latest master (sgl-project#5568)

* Fix BumpAllocator error when no input_ids (sgl-project#5564)

* enable DeepSeek V3 shared_experts_fusion in sm90 (sgl-project#5571)

* [Fix] fix outlines and xgrammar (sgl-project#4947)

* [Doc]Add instruction for profiling with bench_one_batch (sgl-project#5581)

* Release v0.4.5.post2 (sgl-project#5582)

* Fix bench_serving fail when zero warmup requests (sgl-project#5574)

* Fix DeepEP cannot run on latest master (sgl-project#5567)

* Fix torch memory saver not enabled in DP scenario (sgl-project#5560)

* Super tiny fix typo (sgl-project#5559)

* Add document for LoRA serving (sgl-project#5521)

* Tiny improve error message (sgl-project#5526)

* [PD] Fix server crash when using batch requests (sgl-project#5531)

* [Feat] upgrade pytorch2.6 (sgl-project#5417)

* Fix enable chunked prefill for Llama4 (sgl-project#5575)

* fix: use fa3 for gemma2 (sgl-project#5586)

* Fix ChatCompletionMessageGenericParam to allow for None content (sgl-project#5452)

* [PD] Fix large page size + chunk prefill (sgl-project#5588)

* Add test config yamls for Deepseek v3 (sgl-project#5433)

* [Feature] Prefill assistant response - add continue_final_message parameter (sgl-project#4226)

Co-authored-by: Chayenne <[email protected]>

* add function call parser for DeepSeek V3 (sgl-project#5224)

* smaller and non gated models for docs (sgl-project#5378)

* Feat: Implement JSON Mode (response_format.type="json_object") (sgl-project#4733)

Co-authored-by: Kyle Pena <[email protected]>

* check marlin format before attempting conversion (sgl-project#4675)

* compressed_tensors: port w8a16 fp8 from vllm (sgl-project#4852)

* Fix one more issue reported by torchfix (sgl-project#4859)

* Add sanity check for max_running_requests (sgl-project#5016)

* Correct grafana heatmap. (sgl-project#5019)

* Perform Batch Tokenization. (sgl-project#5141)

* Speedup shared expert weight construction by avoid cloning (sgl-project#5188)

* Tiny add Engine.flush_cache API (sgl-project#5241)

* [misc] remove is_cuda_available (sgl-project#5319)

* Fix flush cache (sgl-project#5590)

* Add Speculative Decoding Eagle3 topk > 1 (sgl-project#5318)

Co-authored-by: Stefan He <[email protected]>
Co-authored-by: Yubo Wang <[email protected]>

* upstream hicache fixes (sgl-project#5570)

* Tiny add warning when cannot recognize bool env var (sgl-project#5348)

* Modify metrics service endpoint (sgl-project#3443)

* Update protocol.py to fix sgl-project#4589 (sgl-project#4590)

* [Feat.] Enable grafana to show metrics (sgl-project#4718)

Co-authored-by: zhaochenyang20 <[email protected]>

* [Fix] Enhance DP Attention for IPv6 Compatibility (sgl-project#4937)

* Support o1 model on Azure (sgl-project#4980)

Co-authored-by: Shan Yu <[email protected]>

* Tiny remove duplicated code (sgl-project#5021)

* Tiny update error hint (sgl-project#5037)

* Support PD bootstrap fields on /v1/chat/completions endpoint (sgl-project#5488)

* [PD] Fix generate endpoint of min_lb for PD (sgl-project#5598)

Signed-off-by: Shangming Cai <[email protected]>

* [PD] Fix edge case and simplify large page size + chunked prefill (sgl-project#5589)

* [PD] Add NIXL transfer backend  (sgl-project#5477)

* [PD] Support decode overlap schedule (sgl-project#5608)

* [PD] Support prefill overlap + Ensure no race condition (sgl-project#5609)

* Enhance GPU memory settings (sgl-project#5604)

* [feature] enable pre compile jit deep_gemm (sgl-project#5580)

* Clean up mem settings (sgl-project#5610)

* Support aiter RMSNorm in AMD (sgl-project#5510)

Co-authored-by: JieXin Liang <[email protected]>

* chore: bump v0.4.5.post3 (sgl-project#5611)

* Remove extra copy in deepseek forward absorb (sgl-project#5578)

Co-authored-by: saienduri <[email protected]>

* [Doc] Fix a 404 link to llama-405b (sgl-project#5615)

Signed-off-by: windsonsea <[email protected]>

* [fix] force use deepgemm in compile_deep_gemm (sgl-project#5618)

* [fix] fix compile_deep_gemm missing kv_b_proj (sgl-project#5620)

* fix: gemma 3 not use softcap (sgl-project#5622)

* Fix FA3 DeepSeek prefill performance regression (sgl-project#5624)

Co-authored-by: ispobock <[email protected]>

* [NFC] Remove duplicate `compressed-tensors` (sgl-project#5640)

* Fix shared experts fusion error without quantization (sgl-project#5632)

* [feature] Add H20 fp8_w8a8 FusedMoE config for --n-share-experts-fusion=16 (sgl-project#5641)

Co-authored-by: yuethe <[email protected]>

* fix flashmla bug (sgl-project#5272)

* [fix] reduce dp capture bs (sgl-project#5634)

Co-authored-by: alcanerian <[email protected]>

* Remove q concat in FA3 backend for DeepSeek decode (sgl-project#5638)

* Revert "Support aiter RMSNorm in AMD" (sgl-project#5646)

* fix: update bench_speculative (sgl-project#5649)

* Turn on DeepGemm By Default and Update Doc (sgl-project#5628)

* Fuse q_a_proj and kv_a_proj (sgl-project#5619)

* Remove unnecessary `torch.full` in DeepSeek (sgl-project#5601)

* [1/2] Add FP8 Blockscale MoE CUTLASS kernel for Blackwell (sgl-project#5281)

* fix sgl-kernel unit tests (sgl-project#5666)

* fix awq_dequantize import (sgl-project#5669)

* Integrating PD disaggregation with DP attention and DeepEP (sgl-project#5435)

Co-authored-by: Byron Hsu <[email protected]>

* fix gemma3 unit test (sgl-project#5670)

* fix torchvision::nms not exist (sgl-project#5671)

* [PD] Add support for dp attention with mooncake (sgl-project#5530)

Signed-off-by: Shangming Cai <[email protected]>

* tune the threshold of gemma-2-27b-it in test_nightly_gsm8k_eval.py (sgl-project#5677)

* [Doc] Fix two 404 links caused by sglang typo (sgl-project#5667)

Signed-off-by: windsonsea <[email protected]>

* fix: update truss bench_serving (sgl-project#5683)

* fix: only compile ApplyTokenBitmaskInplace cu124+ (sgl-project#5686)

* chore: bump sgl-kernel 0.1.0 (sgl-project#5688)

* vlm: enable radix cache for qwen-vl models (sgl-project#5349)

Co-authored-by: Xinyuan Tong <[email protected]>

* [BugFix] Fix combination of MTP and `--n-share-experts-fusion`with R1 (sgl-project#5707)

* Fix weight loading bug for Deepseek v3+nextn (sgl-project#5684)

* Add example to use sgl engine with fastapi (sgl-project#5648)

Co-authored-by: Ravi Theja Desetty <[email protected]>

* [Doc] Fix a link to Weilin Zhao (sgl-project#5706)

Signed-off-by: windsonsea <[email protected]>

* Add MMMU benchmark results (sgl-project#4491)

Co-authored-by: Ravi Theja Desetty <[email protected]>

* [Model] Support `ArcticForCausalLM` architecture (Snowflake/snowflake-arctic-instruct) (sgl-project#5078)

Co-authored-by: vincent-4 <[email protected]>

* [PD] Better logs (sgl-project#5715)

* [PD] Add kvargs table and thread pool for kvcache sender of mooncake (sgl-project#5738)

Signed-off-by: Shangming Cai <[email protected]>

* [PD]: Support Muti Prefill in one node (sgl-project#5704)

Co-authored-by: shuaills <[email protected]>

* Fix: deepseek forward absorb (sgl-project#5723)

Co-authored-by: ispobock <[email protected]>

* Pin torch audio to 2.6.0 (sgl-project#5750)

* Revert "[Model] Support `ArcticForCausalLM` architecture (Snowflake/snowflake-arctic-instruct)" (sgl-project#5754)

* Disable flaky eagle tests (sgl-project#5753)

* update triton 3.2.0 h200 fused moe triton config and add warning about triton fused_moe_kernel performance degradation due to different Triton versions. (sgl-project#5740)

* [Docs] Update runtime/engine/readme.md (sgl-project#5737)

Signed-off-by: windsonsea <[email protected]>

* Reorder loop in shared expert weight loading (sgl-project#5719)

* fix: fix one more bug from merging mm_inputs (sgl-project#5718)

Co-authored-by: Xinyuan Tong <[email protected]>
Co-authored-by: XinyuanTong <[email protected]>

* [Fix]: support deepseek-vl2-tiny model (sgl-project#5552)

Co-authored-by: bppps <[email protected]>

* Bugfix for minicpmo vision test (sgl-project#5760)

* [Minor] fix documentations (sgl-project#5756)

* Add an assertion to enhance the robustness of the operator (sgl-project#5736)

* fix: import vllm_rotary_embedding error when head_size not in 64, 128, 256, 512 (sgl-project#5733)

* Use device_id in dist init to reduce NCCL communicator warmup & creation overhead (sgl-project#5728)

* [fix] fix potential bumpy throughtput with deepgemm (sgl-project#5722)

* Resolves the `404 Not Found` error when running `compile_deep_gemm.py` in multi-node setups (sgl-project#5720)

* perf: update H20 fused_moe_triton kernel config to get higher throughput during prefilling (sgl-project#5716)

* we fix the non existent access of `decrypted_config_file` (sgl-project#5685)

* CI: rewrite test_vision_chunked_prefill to speedup (sgl-project#5682)

* Fuse MLA set kv cache kernel (sgl-project#5748)

* Update amd docker image to `sglang:v0.4.5.post3-rocm630`. (sgl-project#5697)

* [feature] support for roberta embedding models (sgl-project#5730)

* [fix] fix bench_one_batch_server (sgl-project#5607)

* support for the DeepSeek model by enabling streaming response parsing (sgl-project#5592)

* fix: Use `is not None` instead of `!= None` for None checks. (sgl-project#5687)

* Add Llama 4 to FA3 test (sgl-project#5509)

* [misc] more decode step log for batch_one_batch (sgl-project#5565)

* Handle JSONDecodeError while processing request data (sgl-project#5599)

* fix(srt): check if sample_indices is not None before usage. (sgl-project#5633)

* update llguidance to 0.7.11; adds StructTag (sgl-project#4870)

* Use sgl-kernel sgl_per_token_group_quant_int8 (sgl-project#4971)

* Add memory_saver check (sgl-project#4986)

Signed-off-by: Kebe <[email protected]>

* add switch to disable open api doc (sgl-project#3744)

Signed-off-by: congcongke <[email protected]>

* Revert "fix: import vllm_rotary_embedding error when head_size not in 64, 128, 256, 512" (sgl-project#5772)

* Fix eagle test case (sgl-project#5776)

* Split local attention test from fa3 test (sgl-project#5774)

* Revert "Revert "fix: import vllm_rotary_embedding error when head_size not in 64, 128, 256, 512"" (sgl-project#5777)

* Simplify FA3 tests (sgl-project#5779)

* Revert "[fix] fix bench_one_batch_server" (sgl-project#5785)

* Revert "Use device_id in dist init to reduce NCCL communicator warmup & creation overhead" (sgl-project#5786)

* [CI] Tune threshold (sgl-project#5787)

* [CI] fix port conflicts (sgl-project#5789)

* [CI] Fix ci tests (sgl-project#5769)

* [PD]Reduce kv transfer threads (sgl-project#5791)

* [CI] Fix test case (sgl-project#5790)

* Add 8-GPU Test for Deepseek-V3  (sgl-project#5691)

Co-authored-by: Lianmin Zheng <[email protected]>

* Release v0.4.6 (sgl-project#5795)

* Update nightly-test.yml (sgl-project#5797)

* [CI] Improve github summary & enable fa3 for more models (sgl-project#5796)

* [Docs] update grafana setup guide in production metrics (sgl-project#5643)

Co-authored-by: NoahM <[email protected]>

* [Misc] add structure logging, write to file and log tracing for SGL Router

* Improve overlap scheduling (sgl-project#5788)

* Add Cutlass MLA attention backend (sgl-project#5390)

* chore: upgrade sgl-kernel 0.1.0 (sgl-project#5690)

* Dockerfile.dev pip scikit_build_core (sgl-project#5807)

* Add a doc to fix sgl-kernel build link error in py39 with ccache (sgl-project#5809)

* Turn on overlap scheduler for multimodal models (sgl-project#5771)

* Tiny refactor DefaultModelLoader.Source (sgl-project#5482)

* [Docs] Replace lists with tables for cleanup and readability in server_arguments (sgl-project#5276)

* Revert "Tiny refactor DefaultModelLoader.Source" (sgl-project#5825)

* Feat: add support for thinking mode via chat_template_kwargs.enable_t… (sgl-project#5551)

Co-authored-by: shuaills <[email protected]>
Co-authored-by: Chayenne <[email protected]>
Co-authored-by: Lianmin Zheng <[email protected]>
Co-authored-by: Yineng Zhang <[email protected]>

* fix: fix the error where the content is None when reasoning and tool … (sgl-project#5838)

* feat: Add fused moe triton config for qwen3 moe on h100 (sgl-project#5833)

* fused moe triton tuning script support qwen3 (sgl-project#5842)

* feat: Add fused moe triton config for qwen3bf16 moe on h20 (sgl-project#5839)

* [PD] support pd fake transfer for warmup (sgl-project#5726)

* [config] qwen3moe_tune_h20 fp8 tp4 (sgl-project#5846)

* [Doc] Recover history of server_arguments.md (sgl-project#5851)

* feat: Add fused moe triton config for qwen3-30b-fp8 moe on h20 (sgl-project#5850)

* [CI] test chunked prefill more (sgl-project#5798)

* ROCm: update AITER (sgl-project#5816)

* [Feat] QWen-1M context support[1/2]: Update block sparse attention backend utils kernel (sgl-project#5847)

Co-authored-by: sighingnow <[email protected]>

* [Fix] Missing bootstrap_port field (sgl-project#5823)

* feat: update is_fa3_default_architecture (sgl-project#5854)

* add fused moe config for qwen3moe fp8/bf16 (sgl-project#5849)

* chore: bump v0.4.6.post1 (sgl-project#5845)

* fix for hpu backend in model runner and server args

Signed-off-by: Mohit Sinha <[email protected]>

* rebase formatting issue

Signed-off-by: Mohit Sinha <[email protected]>

* [SW-228218]: Fix device mismatch in frequency penalty.

Ensure tensors in BatchedFrequencyPenalizer are on the same device by
moving output_ids and frequency_penalties to the device of
cumulated_frequency_penalties. This resolves a RuntimeError
caused by tensors on cpu and hpu:0 during logits subtraction.

---------

Signed-off-by: Shangming Cai <[email protected]>
Signed-off-by: Xuchun Shang <[email protected]>
Signed-off-by: windsonsea <[email protected]>
Signed-off-by: Kebe <[email protected]>
Signed-off-by: congcongke <[email protected]>
Signed-off-by: Mohit Sinha <[email protected]>
Co-authored-by: Yineng Zhang <[email protected]>
Co-authored-by: DefTruth <[email protected]>
Co-authored-by: fzyzcjy <[email protected]>
Co-authored-by: Yuhong Guo <[email protected]>
Co-authored-by: JieXin Liang <[email protected]>
Co-authored-by: Zhaoyang Hao <[email protected]>
Co-authored-by: Yuan Luo <[email protected]>
Co-authored-by: luoyuan.luo <[email protected]>
Co-authored-by: lambert0312 <[email protected]>
Co-authored-by: shangmingc <[email protected]>
Co-authored-by: ybyang <[email protected]>
Co-authored-by: Liangsheng Yin <[email protected]>
Co-authored-by: Lianmin Zheng <[email protected]>
Co-authored-by: Trevor Morris <[email protected]>
Co-authored-by: hebiao064 <[email protected]>
Co-authored-by: Chang Su <[email protected]>
Co-authored-by: mRSun15 <[email protected]>
Co-authored-by: ryang <[email protected]>
Co-authored-by: Yuhao Yang <[email protected]>
Co-authored-by: Michael Yao <[email protected]>
Co-authored-by: ybyang <[email protected]>
Co-authored-by: Baizhou Zhang <[email protected]>
Co-authored-by: Cheng Wan <[email protected]>
Co-authored-by: Xiaoyu Zhang <[email protected]>
Co-authored-by: Elfie Guo <[email protected]>
Co-authored-by: Ying Sheng <[email protected]>
Co-authored-by: BearBiscuit <[email protected]>
Co-authored-by: Chayenne <[email protected]>
Co-authored-by: eigen <[email protected]>
Co-authored-by: yhyang201 <[email protected]>
Co-authored-by: Didier Durand <[email protected]>
Co-authored-by: woodx <[email protected]>
Co-authored-by: Xuchun Shang <[email protected]>
Co-authored-by: mlmz <[email protected]>
Co-authored-by: PGFLMG <[email protected]>
Co-authored-by: u4lr451 <[email protected]>
Co-authored-by: ocss884 <[email protected]>
Co-authored-by: Michael Feil <[email protected]>
Co-authored-by: strgrb <[email protected]>
Co-authored-by: Zhang Kaihong <[email protected]>
Co-authored-by: liwenju0 <[email protected]>
Co-authored-by: Wenxuan Tan <[email protected]>
Co-authored-by: yhyang201 <[email protected]>
Co-authored-by: Yubo Wang <[email protected]>
Co-authored-by: Byron Hsu <[email protected]>
Co-authored-by: Zhiqiang Xie <[email protected]>
Co-authored-by: Zhaoyi Li <[email protected]>
Co-authored-by: lukec <[email protected]>
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