vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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- Issues
- fix(exaone4): pad MLP intermediate size for group quant TP alignment
- [DRAFT] Async Allgather
- [Bug]: FP8 MoE Backend Regression: Nemotron-3 Models Fail in vLLM 0.15.0/0.15.1
- Fix wrong timestamps if audio > 30s
- [CPU Offloading] Add offloading connector scheduler load delay metric
- DCP fix for GLM5
- [Kernel][Helion][1/N] Add Helion kernel for rms_norm_dynamic_per_token_quant
- [Kernel]: Unify MLA cache gather into single gather_cache entry point
- [Installation]: cannot install deepep
- [Model Bash][DeepSeek]: PDL for AR+RMS and First Attention GEMM
- Docs
- Python not yet supported