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]: RuntimeError: scheduler_metadata must have shape (metadata_size) when using dspark speculative decoding with FP8 quantization on H20-3e
- [Bugfix][OpenAI] Respect allowed_token_ids in beam search
- [Bugfix] Avoid shape-specialized Qwen3-VL pos-embed JIT
- Revert "[Bugfix][Gemma4] Fix FA4 mm_prefix mask: add sliding window and absolute q_idx" (#47332)
- [Feature]: SSE keep-alive comments for idle periods
- [Bugfix][Tool Parser] llama4_pythonic: accept JSON tool calls in streaming and non-streaming
- [Frontend] Pass sampling params through Anthropic /v1/messages
- [Bugfix] Unify per-layer KV cache dtype selection across v1/v2 model runners
- [Bug]: collect_env.py crashes on Windows/macOS and pip-less uv environments
- [Bugfix] Fix collect_env.py crash on Windows/macOS and pip-less uv environments
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