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
- [Perf] Reuse topk SparseMatrix routing metadata in GPT-OSS MoE forward
- [Bug]: Integer overflow in permute_cols
- [Frontend] Add completion_token_details to usage object in Chat Completions response body
- [Bug]: Engine core dies on KV-connector load failure for hybrid-KV models — `_update_requests_with_invalid_blocks` assumes a single KV cache group
- [Bug]: Gemma 4 Finetune won't think
- [Bug]: Integer overflows in merge_attn_states.cu
- Preserve tensor dtypes when loading quantized tensorizer models
- [Tokenizer] Add batch_split_message tokenizer mode for lossless segmented encoding
- fix: resolve SyntaxWarning for invalid escape sequences in OpenAI protocol files
- Allow memory profiling free memory increases
- Docs
- Python not yet supported