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Related Issues (20)
- [Bug]: HIP error: invalid argument in cudaMemGetInfo
- [Bug]: `distributed_executor_backend=mp` does not work with GPTQ tp>1 HOT 5
- Concurrent timeout
- [Bug]: Segmentation fault (core dumped) while loading deepseek coder v2 lite model HOT 5
- [Usage]: Load local model from local path HOT 1
- embedings error python -m vllm.entrypoints.openai.api_server --trust-remote-code --model gte_Qwen2-7B-instruct --seed 48 --max-model-len 1000 --tensor-parallel-size 2 --gpu-memory-utilization 1 --dtype float16
- [New Model]: facebook/seamless-m4t-v2-large
- [Bug]: vllm offline调用和online调用,同一个prompt输出结果有差异(There are differences in the output results of the same prompt between vllm offline and online calls)
- How to use Offline Batched Inference to run multi chat. HOT 1
- [Bug]: After enabling APC, concurrent processing of requests will result in error and return responses from other requests.
- [Bug]: Producer process has been terminated before all shared CUDA tensors released (v 0.5.0 post1, v 0.4.3)
- [Usage]: Gemma-2-9b is not supported HOT 3
- [Bug]: When I inference with a 1b model, tp2 latency is greater than tp1
- [Bug]: identical branches in csrc/quantization/marlin/sparse/marlin_24_cuda_kernel.cu HOT 4
- [Bug]: Current Main Does Not Work On Python3.8 HOT 1
- [Bug]: Speculative decoding does not respect per-request seed HOT 2
- [Bug]: call for stack trace for "Watchdog caught collective operation timeout"
- [Usage]: is there a way to turn off fast attention? a parameter maybe? my model deployment takes 30min to complete HOT 1
- [Usage]: How to use --pipeline-parallel-size HOT 1
- [Bug]: debugging guide for device >= 0 && device < num_gpus INTERNAL ASSERT FAILED at "../aten/src/ATen/cuda/CUDAContext.cpp" HOT 1
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