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CUHKSZzxy/README.md

Hi there πŸ‘‹

Stats

Open-source Work

Focused on LLM/VLM serving systems.

Selected contributions:

#PR Status Summary
LMDeploy model support 🟣 #4575 Intern-S2-Preview; #4411 Qwen3-Omni; #4318 Intern-S1-Pro
#4093 Qwen3-VL; #3863 GLM-4.5; #3846 GLM-4.1V
#3315 Qwen3/MoE; #3194 Qwen2.5-VL; #3149 DeepSeek-VL2.
LMDeploy #4644 🟒 Unify interleaved MRoPE handling. [agent-assisted]
LMDeploy #4640 🟒 Add multimodal preprocessing metrics. [agent-assisted]
LMDeploy #4582 🟒 Add OpenAI Responses-compatible API endpoint. [agent-assisted]
LMDeploy #4563 🟣 Enable FP8 KV-cache quantization. [agent-assisted]
LMDeploy #4531 🟣 Handle mixed-modality serving paths. [agent-assisted]
LMDeploy #4452 🟣 Update draft model parameters for RL.
LMDeploy #4360 🟣 Handle video inputs.
LMDeploy #3534 🟣 Add serving metrics.
vLLM #42705 🟣 Support Intern-S2-Preview (co-authored).
vLLM #33636 🟣 Support Intern-S1-Pro.
SGLang #9299 🟣 Support InternS1-Mini.
SGLang #8350 🟣 Support Intern-S1 (co-authored).

Selected bug fixes:

#PR Status Summary
LMDeploy #4603 🟣 Fix VLM feature memory overhead. [agent-assisted]
LMDeploy #4583 🟣 Fix split multimodal tensor compaction.
LMDeploy #4084 🟣 Fix expert-parallel deployment issues.
LMDeploy #4003 🟣 Fix InternVL Flash long-context accuracy.

Status: 🟣 merged, 🟒 open.

[agent-assisted] marks work where I actively explored implementation possibilities with coding agents.


Pinned Loading

  1. InternLM/lmdeploy InternLM/lmdeploy Public

    LMDeploy is a toolkit for compressing, deploying, and serving LLMs.

    Python 7.9k 700

  2. vllm-project/vllm vllm-project/vllm Public

    A high-throughput and memory-efficient inference and serving engine for LLMs

    Python 82.2k 17.8k

  3. InternLM/Intern-S1 InternLM/Intern-S1 Public

    A Scientific Multimodal Foundation Model

    809 46

  4. vllm-project/recipes vllm-project/recipes Public

    Common recipes to run vLLM

    JavaScript 833 292