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
- [Bugfix] Skip missing parameters during GGUF Gemma2 weight loading
- [Bug]: AttributeError: 'Qwen3VLConfig' object has no attribute 'intermediate_size'
- [Bug]: ` leaked shared_memory objects to clean up at shutdown` cause offline mode start failed.
- [Feature]: proper logging for ParsableContext
- [Feature]: xinference has xllamacpp, can you add something in vllm for gguf files
- [Performance]: DeepSeek-V3.2 on 8xH20 30 decode tokens/sec
- [New Model]: FunAudioLLM/Fun-ASR-Nano-2512
- [Usage]:Tools GLM4.6v with vLLM
- [Feature]: more robust way to detect if compile_sizes/compile_ranges applies to the current compilation
- [Feature]: Models with different quantization for different layers/blocks
- Docs
- Python not yet supported