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
- [Perf] Add tuned Triton fused MoE configs for NVIDIA H20 (fp8_w8a8)
- [Bugfix][Structured Output][Spec Decode] Constrain bitmask and trim grammar advance at the reasoning boundary
- [Feature]: Could you help with implement the KV cache pruning feature on vLLM?
- [Rust Frontend] Add ERNIE 4.5 tool parser
- [KVCache] Support model specific KVCache planning
- [Bug]: Logprobs values change based on the number of requested log probabilities
- Add DeepSeek-V4 FIM completion rendering
- [Bugfix] Fix speculative decoding for short_conv (LFM2) models
- [Feature][Parser] Support include_reasoning param for non-Harmony models
- [Bugfix] Fix linear host RSS growth under sustained classification load with prefix caching (V1)
- Docs
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