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]: CPU Offloading errors (Worker.__init__() got an unexpected keyword argument 'kv_cache_dtype')
- [Doc]: Can the '/metrics' interface be disabled through configuration
- [Installation]: `numpy < 2.0.0` is annoying. Pls support `numpy == 2`
- [Bug]: The api server /health endpoint is unable to detect when the Worker VllmWorkerProcess has died
- [Feature]: When will function calls with deepseek support be available?
- [Feature]: Support gemma2 GGUF architecture
- [Bug]: Engine process failed to start while running Phi-4 GGUF
- [API_SERVER] Add maximum concurrency limit for API interface
- Support FP8 Quantization and Inference Run on Intel Gaudi (HPU) using INC (Intel Neural Compressor)
- [Bug]: Very slow guided decoding with Outlines backend since v0.6.5
- Docs
- Python not yet supported