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
- [Bugfix] Parser engine: count reasoning tokens when <think> is pre-filled in the prompt
- TRITON_ATTN support for KV cache dtype fp8 on sm75 to pre-sm89
- DO NOT MERGE
- [Bug]: JSON Schema pattern on string items causes maxLength to be ignored in structured outputs
- fix: reject unsafe structured output schemas
- [Cleanup][Gemma4] Remove gemma4_utils.py in favor of Transformers v5 chat parsing API
- [New Model]: gemma4-12b-qat-w4a16
- [Bug]: vllm0.22.1 dsv4-flash have no prefix-cache use for ever
- [Bug]: nvidia/Kimi-K2.6-nvfp4 & v0.23.0 cannot find huggingface downloader file
- [Bug]: OOM in sparse_attn_indexer (fp8_fp4_mqa_logits) when KV offloading + DeepSeek-V4 is used with long contexts
- Docs
- Python not yet supported