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] Enable UV on AMD Docker
- [DBO] Compile non-dbo cudagraphs for shapes that are close to dbo_decode_token_threshold
- [MLA] Separate Quant from unified_mla_attn op
- [WIP][CI/Build] Fix AMD structured outputs tests OOM
- [CI/Build] amd-ci-fix-kernels-attn
- [Feature]: CUDA12.6 prebuilt wheel for vllm v0.11
- [Usage]: deepseek-ocr The output token count is too low and unstable.
- [Bug]:During the vllm 0.10.1 v1 benchmark test, only about 100 out of 1000 requests could be processed, and then it would get stuck.
- [Bug]: RotaryEmbedding forward_native cannot match as expected for QKNormRoPEFusionPass
- [Doc]: Any detailed documentation about how to load_weights in customized vllm model?
- Docs
- Python not yet supported