vllm
https://github.com/vllm-project/vllm
Python
A high-throughput and memory-efficient inference and serving engine for LLMs
Triage Issues!
When you volunteer to triage issues, you'll receive an email each day with a link to an open issue that needs help in this project. You'll also receive instructions on how to triage issues.
Triage Docs!
Receive a documented method or class from your favorite GitHub repos in your inbox every day. If you're really pro, receive undocumented methods or classes and supercharge your commit history.
Python not yet supported3 Subscribers
Add a CodeTriage badge to vllm
Help out
- Issues
- [Usage]: vllm openai api server never ends in most cases
- [Bug]: AsyncEngineDeadError: Task finished unexpectedly with qwen2 72b
- [Feature]: Precise model device placement
- [Usage]: How to use Multi-instance in Vllm? (Model replication on multiple GPUs)
- [Feature]: Return hidden states (in progress?)
- [Bug]: When running gemma2 7b, an error is reported [rank0]: RuntimeError: CUDA error: CUBLAS_STATUS_EXECUTION_FAILED when calling `cublasGemmEx( handle, opa, opb, m, n, k, &falpha, a, CUDA_R_16BF, lda, b, CUDA_R_16BF, ldb, &fbeta, c, CUDA_R_16BF, ldc, compute_type, CUBLAS_GEMM_DEFAULT_TENSOR_OP)` Set up according to the prompts: os.environ['VLLM_ATTENTION_BACKEND'] = 'FLASHINFER' print("Environment variable set for VLLM_ATTENTION_BACKEND:", os.getenv('VLLM_ATTENTION_BACKEND'))
- [Model] Implement DualChunkAttention for Qwen2 Models
- [Feature]: deepseek-v2 awq support
- [Feature]: multi-lora support older nvidia gpus.
- [Hardware][Nvidia][Core][Feature] new feature add: vmm(virtual memory manage) kv cache for nvidia gpu
- Docs
- Python not yet supported