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
- [Responses API] Structured output + reasoning via structural tag embedding
- [Harmony] Fix analysis-channel tool calls and preserve reasoning across turns
- [Model Runner V2] Reuse constant tensors in input prep
- [Performance]: Very slow GGUF quantized model
- [FA/Chore] Bump FA version for FP8 two-level accumulation every n steps
- [Bugfix] Fix Harmony streaming cross-channel delta accumulation
- [Bugfix] Update TritonExperts to reflect support for none-gated ReLU^2
- [RFC]: Add PPL and KLD to VLLM
- Add support to pass custom presence_penalty and frequency_penalty parameters in the generation config
- [Core] Add sharding metadata to model parameters
- Docs
- Python not yet supported