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]: Failing to run DeepSeek-OCR on Radeon GPUs (memory fault)
- [Bug]: LoRA adapters with mismatched module name prefixes silently produce base-model output
- [Feature]: Add MLA attention backend for Turing
- [Bug] Fix MLPSpeculatorConfig missing num_attention_heads attribute
- [Frontend] Add per-request stream interval control with time-based throttling
- fix: correct verbose timestamp offsets for chunked transcription (#32588)
- nightly-run-models
- Feat/silu and mul out variant
- [Usage]: How to decrease Encoder cache budget from 16384 tokens to something lower?
- [ModelRunner V2] Simplify penalties implementation
- Docs
- Python not yet supported