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]: RuntimeError: out must have shape (total_q, num_heads, head_size_og)
- [Bug]: Loading Mixtral-8x22B-Instruct-v0.1-FP8 on 8xL40S causes a SIGSEGV
- [Bug]: Build from source but got unexpected symbol
- [Feature]: Allow user defined extra request args to be logged in OpenAI compatible server
- [Usage]: Can I use vllm.LLM(quantization="bitsandbytes"...) when bitsandbytes is supported in the v0.5.0 version
- [Bug]: CUDA out of memory when setting prompt_logprobs with larger batch_size
- [Feature]: Support [RecurrentGemmaForCausalLM]
- [Feature]: PagedAttention for CPU-memory constraned environments?
- [Bug]: v0.4.3 AsyncEngineDeadError
- [Bug]: vllm v0.5.0 internal assert failed
- Docs
- Python not yet supported