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] limit lora init id greater than 0
- Yet another Prefill-Decode separation in vllm
- [Bug]: 'invalid argument' Error with custom_all_reduce when doing tensor parallelism
- [Usage]: LLama-3.1-405B Inference with vLLM TPU
- [Bug]: Different behavior with tool-use response parsing with streaming vs non-streaming when using max_tokens
- [Bug]: Lora refuses to load from disk without extremely weird manipulations with file paths
- [Doc]: Chinese Documentation Translation Available for vllm
- [Usage]: Benchmarking Issues: Low Success Rate and Tensor Parallel Size Constraints on 8x AMD MI300x GPUs
- [Bug]: TypeError: inputs must be a string, TextPrompt, or TokensPrompt
- [Usage]: Tried using vllm with GGUF models. Got an infer device type error.
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- Python not yet supported