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]: The Qwen2 model gives no response when the tensor_parallel_size is set to 1.
- [Bug]: TypeError: Object of type ModelMetaclass is not JSON serializable when using guided decoding
- hope that we can use multi-GPU directly in vllm for BitAndBytes quantization
- [Bug]: DeepSeek-V2-Lite quantized model raise model shape Error
- [Core] get_kv_cache_from_block within core ONLY
- [Bug]: Available context (gpu blocks) gets halved by pipeline parallel size
- amazon/FalconLite2
- [Frontend] Add abort_request endpoint to OpenAI API server
- [Frontend] Add readiness and liveness endpoints to OpenAI API server
- On sagemaker, getting error "Input prompt (9762 tokens) is too long and exceeds limit of 8192"
- Docs
- Python not yet supported