GPU VRAM and when I could no longer fit the next model in the gpu, all other models would be loaded via the cpu. The issue is that when I use device_map='auto' 0 models go to the gpu and they all get loaded in the cpu (I use a loop basically to load all the models needed)...
memorymodel=AutoModelForCausalLM.from_pretrained("facebook/opt-1.3b",device_map="auto",max_memory={0:"20GiB","cpu":"50GiB"} )delmodeltorch.cuda.empty_cache()print(torch.cuda.memory_allocated(0))# GPU memory < model memory requirements -> fails to clear out memorymodel=AutoModelFor...
错误信息 ImportError: Using low_cpu_mem_usage=Trueor adevice_map requires Accelerate: pip install accelerate 表明你在使用某个库或框架时,设置了 low_cpu_mem_usage=True 或使用了 device_map,但这些功能需要 accelerate 库的支持。然而,你的环境中似乎没有安装 accelerate 库。 检查当前环境是否已安装 accel...
pipeline = transformers.pipeline( "text-generation", model="meta-llama/Llama-2-7b-chat-hf", torch_dtype=torch.float16, device_map="auto", ) Run Code Online (Sandbox Code Playgroud) 但是,它会生成以下错误:ImportError: Using `low_cpu_mem_usage=True` or a `device_map` requires Accelerate...
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I think model.is_parallelizable=False should block the model parallelization. Second problem: Setting device_map={'':torch.cuda.current_device()}, it means the model is copied to both GPUs. Setting device_map="auto", I see the model to split into two parts: However, I found the latter...
System Info So what I have is that: base_model = AutoModelForCausalLM.from_pretrained( "/root/autodl-tmp/.cache/modelscope/hub/AI-ModelScope/Mistral-7B-v0.1", local_files_only=True, torch_dtype=torch.float16, # device_map={"": Accelerato...
If you were trying to load the largest models, for example BLOOM or OPT-176B (which both have 176 billion parameters), like this, you would need 1.4 terabytes of CPU RAM. That is a bit excessive! And all of this to just move the model on one (or several) GPU(...
(x) z = self.lin2(x) return torch.cat((y, z), 0) net = Net() max_memory = {0: 50000, 1: 50000, 2: 50000, 'cpu': 100000} device_map = infer_auto_device_map(net, max_memory) print("device map", device_map) net = dispatch_model(net, device_map) res = net(torch....
Fix slowdown on init with device_map="auto" (#2914) 9726538 DN6 mentioned this pull request Jul 4, 2024 The model loading has suddenly become slow. huggingface/diffusers#8787 Open Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment Revi...