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
- [CI/Build] amd-ci-fix-kernels-attn
- [Doc]: Any detailed documentation about how to load_weights in customized vllm model?
- Remove all operator overrides for batch invariance
- [Feature]: Allow use of `vllm bench serve` without installing all vLLM requirements
- [Usage]: There is any performance benchmark between running vLLM server via docker image and python?
- [wip] fuse rope fp8 through mla_rope_quantize_fp8
- [Feature][P1]: Investigate and Implement Zstd Compression for Docker Images
- [Quantization] Use torch.from_numpy to avoid deep copy when iterate GGUF weights
- [Feature]: GGUF model with architecture qwen3vlmoe is not supported yet.
- [Bug]: [H200] DeepSeek-R1 EP 1.5x TTFT due to MoE backend behavior changes
- Docs
- Python not yet supported