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
- [Attention] Add no-output path for custom backends
- Allow LMCacheConnectorV1 to support hybrid KV loads
- [Bugfix] Dedup gpu_block_ids in SimpleCPUOffload eager store path
- [RFC]: Attention Backend Refactor
- [Feature]: Interrupt Reasoning on Pattern
- [Bug]: LoRA on AWQ-quantized Llama-3.1-8B / Llama-3.2-3B produces degenerate output (same LoRA infra works on AWQ Mistral and on FP8 / BF16 Llama)
- [Bug]: FA2 paged-KV may read stale block-table tail entries
- [Bug]: FA2 partial-block clamp can load unwritten padded KV slots
- [Performance]: Inconsistent speculative decoding acceptance metrics between vLLM and SpecForge on Qwen3-32B baselines
- [Bug]: vllm serve crashes at KV cache initialization when using --block-size 1 or 8 despite being listed as valid choices
- Docs
- Python not yet supported