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
- [Misc] Support MMMU accuracy benchmark
- [RFC]: Support Layer-Specific KV-Cache Dtype & Layout in V1 Engine for Hybrid Models
- Fix gpt-oss tool call
- [Bug]: default_weight_loader receives unexpected `weight_name` kwarg in GPT-OSS load_weights
- [Core] Enable LoRA support for classification model
- Added my own kv connector
- feat: add example for sending pyobj in test_collective_rpc.py
- [Ray][CPU] Ray executor and Ray DP support for CPU backend
- [Model] Add qwen3-guard model support with streaming input and output.
- [Kernel] FA4 Integration.
- Docs
- Python not yet supported