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]: qwen2-72b-instruct model with RuntimeError: CUDA error: an illegal memory access was encountered
- [Performance]: Medusa SD have poor performance than baseline
- [Feature]: support Mistral-Large-Instruct-2407 function calling
- [Bug]: N-gram spec_decode in flash_attention bug
- [Performance]: Slow TTFT(?) for Qwen2-72B-GPTQ-Int4 on H100 *2
- [Bug]: SIGSEGV received at time=1721904360 on cpu 140, Fatal Python error: Segmentation fault
- [Feature]: Evaluate multiple ngram speculations in speculative decoding
- (Dont Merge) Add rwkv6
- [Usage]: deploy Llama3.1 405B-Instruct-FP8 with H800 * 8 not work
- [Kernel] Add Fused Layernorm + Dynamic-Per-Token Quant Kernels
- Docs
- Python not yet supported