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timethink
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Mar 9, 2025
NorthmanPKU
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May 16, 2025
…d input/output strides for kernel graphs. (sgl-project#98) * initial docs * update path * add doxygen files * add more * update docs * add more files * fix typo * link update * add gated mlp * add more tutorials * format * add transpiler docs * . * . * . * . * . * update RMSNorm example * adjust image width * Update LoRA tutorial * update files * fix typo * transpiler doc fix (sgl-project#89) * transpiler doc fix * fmt * . * checkpoint * Add files via upload * Update README.md * add file * add demo * update demo * minor changes * add input_strides into KNInputOp * support output_strides * transpiler add input/output stride (sgl-project#101) --------- Co-authored-by: Xinhao Cheng <[email protected]> Co-authored-by: Zhihao Jia <[email protected]>
zhuyijie88
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Sep 4, 2025
add dsr1 model
sammysun0711
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Dec 19, 2025
Garrybest
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Jan 9, 2026
update README.md, make it more friendly
blzheng
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Feb 6, 2026
…ct#13279)" (sgl-project#101) This reverts commit 7ee3e36.
sywangyi
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Feb 26, 2026
…ct#13279)" (sgl-project#101) This reverts commit 7ee3e36.
sywangyi
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Feb 27, 2026
* port layernorm 3d * apply layernorm * support for bias * fix * intf fix * add support for CPU * fix tp=3/6 padding issue in encoder vision * fix tp=3/6 padding issue in qwen3-omni * refactor code * add mrope * change attention_mask shape to use flash attn * add kernel apply_rotary_pos_emb_cpu * replace nn.Linear with ReplicatedLinear * enable torch.compile * construct mask using query.dtype instead of bool on CPU * add fast path for sparse attention * fix double free segfault by wrong setting of BLOCK_M * improve extend kernel performance for long context length * update test_extend.py * update comment * fix topk softmax performance issue * port optimization for image preprocessor in Qwen2VLImageProcessorFast * apply optimization for image preprocessor * update docker file * optimize conv3d used in patch embedding * resolve conflict * apply optimized conv3d * apply optimization for flash_attn_varlen_func (sgl-project#19) * port optimization for flash_attn_varlen_func * apply flash_attn_varlen_func * remove contiguous before rope (sgl-project#20) * Revert "resolve conflict" This reverts commit 7622f6d. * fix after rebase * Update pyproject_cpu.toml * Update xeon.Dockerfile * minor fix after rebase * rope: add support for bf16 sincos (sgl-project#102) * format * Update xeon.Dockerfile * odd tp for cpu * Apply linear_gelu_linear and fix numa memory bind (sgl-project#22) * [CPU] Optimize small oc GEMM for Qwen3-next on CPU (sgl-project#12446) Co-authored-by: Zheng, Beilei <[email protected]> * port linear_gelu_linear kernel * apply linear_gelu_linear for TP=1 * fix numa memory bind * apply parallel partition patch --------- Co-authored-by: jianan-gu <[email protected]> * Revert "Fix: test_vlm_offline_throughput output throughput (sgl-project#13279)" (sgl-project#101) This reverts commit 7ee3e36. * fix input dtype mismatch issue * apply optimized layernorm --------- Co-authored-by: Zheng, Beilei <[email protected]> Co-authored-by: ZailiWang <[email protected]> Co-authored-by: mingfeima <[email protected]> Co-authored-by: jianan-gu <[email protected]>
khalil2ji3mp6
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Mar 14, 2026
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This PR attempts to make the model loading process more systematic and self-contained. Currently when addinga new model, we have to explicitly import the model entry class in
model_runnter.load_modelfunction. This introduces two drawbacks:model_runner.pycannot focus on the changes of "model runner".model_runner.pyis easy to be missed and may result in conflicts.sglang.srtdoes not follow the standard Python package structure (i.e., leveraging__init__.pyto construct module hierarchy), so it's not straightforward to use a model registry with decorator. In this PR, I tried to dynamically scan all model files undermodels, and load their entry classes. The major drawback of this approach is that every model file has to haveEntryClassalias to be scanned. IMHO it should be relatively easy for developers to follow.Please share your thoughts.