Related Issues (20)
- [Performance]:
- [Bug]: BitsandBytes quantization is not working as expected HOT 4
- [Usage]: Using VLLM with Langchain for RAG purposes HOT 2
- [Bug]: Installation Issue with torch Version Conflict on vllm v0.5.0.post1 HOT 3
- [Bug]: chunked prefill scheudler uses up swap on many n>=2 requests HOT 3
- [Bug]: Mixtral8x7B very high spikes for Inter Token Latency (ITL)
- [Usage]: How to specify a GPU when i use vllm by 'python -m vllm.entrypoints.openai.api_server --served-model-name..' HOT 2
- [Feature]: Decouple the benchmark script from the components of vLLM HOT 1
- [Installation]: `ModuleNotFoundError: No module named 'numpy.lib.function_base'` due to NumPy 2.0 release HOT 2
- [Usage]: 'InternVLChatConfig' object has no attribute 'num_attention_heads' HOT 2
- [Bug]: The "sorted(gpu_ids)" operation in ray_gpu_executor.py causes an incorrect order of GPU IDs When using the NVIDIA HGX A100 (16-GPU) platform for model inference. HOT 1
- [Bug]: Embedding doesn't work with `device="cpu"` HOT 1
- [bug]vllm deployement is failing on nvidia because of numpy2.0 upgrade HOT 1
- [Bug]: GPTQ-Marlin kernel illegal memory access with `group_size=32`, `desc_act=True`, `tp=4` HOT 3
- [Feature]: Add config of use_dummy_driver rather than default 'False' HOT 3
- [Feature]: support Qwen2 embedding HOT 2
- RuntimeError: No suitable kernel. h_in=16 h_out=4096 dtype=Float out_dtype=Half HOT 2
- [Feature]: Access to user information in scheduler
- [Bug]: Concurrent requests messing up GREEDY responses HOT 4
- [Feature]: Initial LLM token HOT 5
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