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
- [Feature]: Truncate multi-modal tokens without misalignment against image features
- [Bug]: Continuous usage stats are incorrect when chunked prefill is enabled
- [Installation]: Cuda 11.8 binaries for vLLM v0.6.2
- [Performance]: Transformers 4.45.1 slows down `outlines` guided decoding
- [Bug]: Error Running Llama 3.2 1B on CPU
- mLlama load error with non-default vocabulary sizes
- [Roadmap] vLLM Roadmap Q4 2024
- [Usage]: Default input and output sequence length for ShareGPT dataset
- [Bug]: CUDA OOM (due to flaky profiler?)
- [Performance]: Why is Llama 3.1 405B 5 times faster than 70B on benchmarks?
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- Python not yet supported