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
- [DNM][Discussion] Example to decrease live tensors for activation memory.
- [Bug]: vllm server crash when num-scheduler-steps > 1 and max_tokens=0
- Why not need evict_first Hint in vllm Marlin kernel?
- [Bug]: Breaking Change in `gpu_memory_utilization` Behavior in vLLM 0.6.4
- [Doc]: Pages were moved without a redirect
- [Bug]: rocm issue
- Compressed tensors w8a8 tpu
- [Bug]: Input prompt (35247 tokens) is too long and exceeds limit of 1000
- [Bug]: Speculative decoding + guided decoding not working
- [Feature]: LoRA fine-tuning model for DeepSeek V2
- Docs
- Python not yet supported