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]: high gpu_memory_utilization with 'OOM' and low gpu_memory_utilization with 'No available memory for the cache blocks'
- [Bug]: speculative decoding with max-num-seqs <= 2 * num-speculative-tokens
- [Feature]: Support selecting chat template
- Debug the optimal upper-bound performance for swapping (0-cost swapping).
- How to use vllm to compute ppl score for input text?
- Guidance on how many requests can be processed at a time?
- vlllm stops generation when pending request > 0
- Feature request: prompt lookup decoding
- [Error] "IndexError: shape mismatch: indexing tensors could not be broadcast together with shapes" when logprobs > 0
- AsyncEngineDeadError with QUEN
- Docs
- Python not yet supported