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
- fix: Add apply_with_spec_decode() method to LogitBiasLogitsProcessor
- [Feature]: Add Rotorquant support
- [Bugfix] Preserve torch profiler summary output on CPU
- [Bugfix]Fix incorrect KV cache log output
- [Transformers v5] Base model and LoRA used in test has incorrect `tokenizer_config.json`
- [WIP][Model Runner V2] Implement flash sampling for the draft model
- [Transformers v5] InternVL2
- [Feature]: Replace vanilla MaxSim with flash-maxsim for late-interaction scoring
- [ROCm][Build] Fix pip install detection when build isolation installs CUDA PyTorch
- [quantization] Further qr
- Docs
- Python not yet supported