vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
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Help out
- Issues
- [Bugfix] Support 0-dim tensors in packed weight transfer
- [Kimi-K3][DCP] Publish prefill KV directly in MLA layout
- [Bugfix] DeepSeek-V4: don't emit an empty `<think></think>` block for reasoningless turns
- [Bugfix] DeepSeek-V4: render request-level tools after the system prompt
- [Feature]: Restore length-based speculation skip (speculative max_model_len) or per-request speculative decoding control in V1
- [Kimi-K3] Support DCP partial prefix cache hit
- [Kimi-K3] Hybrid CPU-offload block accounting under DCP
- [Kimi-K3] Hybrid-aware KV load failure recompute
- [Kimi-K3] DSpark under DCP
- [Mooncake] Support DCP with hybrid attention
- Docs
- Python not yet supported