请减少max_model_len、增加gpu_memory_utilization或增加tensor-parallel-size gpus。@mars-ch what if you try using a smallermax_model_len? Could you share your script? It is important to know how many lora adapters and w
请减少max_model_len、增加gpu_memory_utilization或增加tensor-parallel-size gpus。@mars-ch what if ...
Same exception with ValueError: The model's max seq len (2048) is larger than the maximum number of tokens that can be stored in KV cache (176). Try increasing gpu_memory_utilizationor decreasingmax_model_len when initializing the engine. Set max_model_len< KV cache. It works. 👍 16 ...
Python环境安装,运行bash scripts/run_for_7B_in_Linux_or_WSL.sh,报错: ValueError: The model's max seq len (4096) is larger than the maximum number of tokens that can be stored in KV cache (3792). Try increasing gpu_memory_utilization or decreasing max_model_len when initializing the engin...
降低模型的最大序列长度:如果可能的话,降低 max_model_len 参数的值可以减少模型推理过程中对内存的需求。 使用更小的模型:如果大模型导致内存不足,考虑使用参数更少、内存需求更低的小模型。 增加GPU内存:如果经常遇到内存不足的问题,并且调整参数和模型大小都无法解决,可能需要考虑升级到具有更多内存的GPU。 优化...
[rank0]: ValueError: The model's max seq len (163840) is larger than the maximum number of tokens that can be stored in KV cache (13360). Try increasing gpu_memory_utilization or decreasing max_model_len when initializing the engine. ...
This is quite a big model. It might be that 90% GPU isn't enough by default. Can you try reducing the memory usage, such as by reducing max_model_len and/or max_num_seqs? Contributor nFunctor commented Nov 26, 2024 • edited Can this be somehow related to Marlin kernels ? I ...
tokenizer_mode='auto', chat_template_text_format='string', trust_remote_code=True, allowed_local_media_path=None, download_dir=None, load_format='auto', config_format=<ConfigFormat.AUTO: 'auto'>, dtype='auto', kv_cache_dtype='auto', quantization_param_path=None, max_model_len=None, ...
ValueError: The model's max seq len (4096) is larger than the maximum number of tokens that can be stored in KV cache (2256). Try increasing gpu_memory_utilization or decreasing max_model_len when initializing the engine. Not ideal that I had to reduce the context but it is at least ...
vllm serve /path/to/Qwen/Qwen2.5-1.5B-Instruct --max-model-len 8192 --tensor-parallel-size 1 --pipeline-parallel-size 2 --distributed-executor-backend ray --gpu-memory-utilization=0.5 In node B, VRAM usage is less than --gpu-memory-utilization=0.5. I don't find clear explanation in...