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(reasoning): don't check prompt_token_ids for reasoning end state
- [Bugfix] Add warning when model generates immediate EOS token
- [Bugfix] Add tool chat template for Olmo3 models
- Add triton support for compressed_tensors GPTQ W4A16 on Tesla V100 (Volta CUDA 70)
- Prefill1
- [Core] Support `min_tokens` with speculative decoding
- [RFC]: Add --disable-inference flag deployments without GPU
- [Model] Add Pacific-Prime / Complexity model support
- [Feature] Add `qwen2_5_coder` tool parser for Qwen2.5-Coder models
- [Bugfix]: Prevent reasoning_content leak
- Docs
- Python not yet supported