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
- [Performance]: under performing in comparision of sglang
- [CORE] [QUANT] Support for GPTQModel (GPTQ) Dynamic (Variable) bit per layer/module
- [Bugfix] fix spec decode with cuda graph
- [Bug]: ValueError: The number of required GPUs exceeds the total number of available GPUs in the cluster.
- [Bug]:
- using Falconlite2 for vllm benchmarking
- [Bug]: Error executing method start_worker_execution_loop. This might cause deadlock in distributed execution.
- [Bug]: no GPU activity when SamplingParams argument `n` is set to > 200
- [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
- Docs
- Python not yet supported