Update app.py
Browse files
app.py
CHANGED
@@ -46,7 +46,7 @@ from transformers import AutoModelForCausalLM, AutoTokenizer
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# model_id = "mistralai/Mistral-7B-v0.3"
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model_id = "CohereForAI/c4ai-command-r-
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tokenizer = AutoTokenizer.from_pretrained(
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@@ -55,15 +55,15 @@ tokenizer = AutoTokenizer.from_pretrained(
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, token= token,)
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accelerator = Accelerator()
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model = AutoModelForCausalLM.from_pretrained(model_id, token= token,
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# torch_dtype= torch.uint8,
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torch_dtype=torch.float16,
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# # torch_dtype=torch.fl,
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attn_implementation="flash_attention_2",
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low_cpu_mem_usage=True,
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# device_map='cuda',
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# device_map=accelerator.device_map,
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@@ -71,7 +71,7 @@ model = AutoModelForCausalLM.from_pretrained(model_id, token= token,
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#
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model = accelerator.prepare(model)
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# device_map = infer_auto_device_map(model, max_memory={0: "79GB", "cpu":"65GB" })
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# model_id = "mistralai/Mistral-7B-v0.3"
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model_id = "CohereForAI/c4ai-command-r-plus-4bit"
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tokenizer = AutoTokenizer.from_pretrained(
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, token= token,)
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# accelerator = Accelerator()
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model = AutoModelForCausalLM.from_pretrained(model_id, token= token,
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# torch_dtype= torch.uint8,
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# torch_dtype=torch.float16,
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# load_in_8bit=True,
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# # # torch_dtype=torch.fl,
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# attn_implementation="flash_attention_2",
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# low_cpu_mem_usage=True,
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# device_map='cuda',
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# device_map=accelerator.device_map,
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#
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# model = accelerator.prepare(model)
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# device_map = infer_auto_device_map(model, max_memory={0: "79GB", "cpu":"65GB" })
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