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
- [Bug]: [gpt-oss-120b] tool_choice="required" ignored on /v1/chat/completions (v0.20.1)
- [RFC]: hardware agnostic model definitions in vLLM
- [RFC]: Semantic KV Cache Reuse Interface
- [Kernel] Add optional TileLang backend for bf16 activation-and-mul ops
- BUG: ValueError too many values to unpack in internlm2_tool_parser when output contains multiple tool-call markers
- fix(__init__): validate colon separator in logits processor FQCN strings
- [Bugfix] Restore device placement for repl_token_ids in Qwen3-VL EVS video embeddings
- fix(internlm2_tool_parser): prevent ValueError when output has multiple tool-call markers
- fix(logits_processor): raise user-friendly ValueError when FQCN lacks ':' separator
- Fix(rope): preserve rope_theta in rope_parameters when loading transformers v5 checkpoints with transformers v4
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