vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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Help out
- Issues
- Fix Gemma 4 for upcoming Transformers version
- fix: add TQFullAttentionSpec guard in v1 _reshape_kv_cache_tensors
- [Bugfix] Count reasoning tokens when the start token is absent
- [Bugfix] Give DeepGEMM power-of-two FP32 scale factors for UE8M0 packing
- fix: include zero temperature in trace attributes
- [Core] Offload raw-prompt preprocessing to renderer thread pool in AsyncLLM
- [Refactor] refactor humming linear and moe backends to use explicit layer configs
- fix(v1): prevent IMA after speculative preemption
- [Bugfix][V1] Validate prompt_logprobs + kv_sharing_fast_prefill incompatibility at request admission
- [Bugfix] Reject mixed structured output backends during validation
- Docs
- Python not yet supported