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]: Dockerfile.cpu for aarch64
- [Usage]: How to call my custom agent through vllm's api service
- [Bug]: GPU Memory Utilization Lower Than Expected with --enable-prefix-caching
- [Usage]:vllm 0.6, I want to use tools calling with qwen2 model, any one know how to write the chat template?
- [Feature]: BitsandBytes quantization with TP>1
- [Installation]: Is there no more "***.whl" based on cuda12?
- [Bug]: Poor TTFT performance with simultaneous --enable-chunked-prefill and --enable-prefix-caching
- [Usage]: FP8 and INT8
- [Bug]: sm75 --num-scheduler-steps 8, unhandled errors in a TaskGroup
- [Bug]: In the case of quantization=compressed-tensors, Qwen2-57B-A14B-Instruct is not supported.
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