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
- [Doc] Remove best-of from feature compatibility tables
- [Core] feat: Widen Request.priority from int to float
- [Model] Add HyperCLOVAX-SEED-Think-14B reasoning and tool parsers
- [Frontend] Add HTTP/2 support via Hypercorn (--enable-http2)
- Feat/rocm cpu hints
- [Bugfix][GGUF] Accept file-type-only quant types (IQ2_M, IQ3_XS, ...) in remote GGUF model IDs
- [Perf] Add tuned Triton fused MoE configs for NVIDIA H20
- [Frontend] Make tokenizer batch wait timeout configurable
- [Bugfix][Benchmark] Fix dataset stats plot filename
- [CPU][Zen] Route BF16 MoE inference through zentorch on AMD
- Docs
- Python not yet supported