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
- Feat/scaled fp4 quant use functional
- [Core] Add structured request_id to log records
- [Bugfix] fixes wna16 quantization for dense layers.
- Hanlin12 hiplaslt online tuning
- [LoRA] support loading Mistral-format LoRA weights via hf_to_vllm_mapper
- [Bug]: AsyncScheduler crashes with AssertionError during Realtime ASR streaming (num_output_placeholders underflow)
- [Feature] [ROCm]: Enable AITER `fused_allreduce_rmsnorm`
- [Quantization] Support NVFP4-quantized lm_head and embed_tokens via modelopt
- [Bugfix] Fix misleading cancel error message and noisy CancelledError log
- [Core] Support FP8 weight storage in unquantized linear and embedding layers
- Docs
- Python not yet supported