Update app.py
Browse files
app.py
CHANGED
@@ -27,10 +27,18 @@ 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-plus
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#
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@@ -46,15 +54,7 @@ def respond(
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temperature,
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top_p,
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):
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tokenizer = AutoTokenizer.from_pretrained(model_id, token= token)
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model = AutoModelForCausalLM.from_pretrained(model_id, token= token,
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# torch_dtype=torch.bfloat16,
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# attn_implementation="flash_attention_2",
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# low_cpu_mem_usage=True,
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# llm_int8_enable_fp32_cpu_offload=True,
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device_map="cuda"
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)
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messages = [{"role": "user", "content": "Hello, how are you?"}]
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input_ids = tokenizer.apply_chat_template(messages, tokenize=True, add_generation_prompt=True, return_tensors="pt").to('cuda')
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## <BOS_TOKEN><|START_OF_TURN_TOKEN|><|USER_TOKEN|>Hello, how are you?<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>
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# model_id = "mistralai/Mistral-7B-v0.3"
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model_id = "CohereForAI/c4ai-command-r-plus"
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tokenizer = AutoTokenizer.from_pretrained(model_id, token= token)
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model = AutoModelForCausalLM.from_pretrained(model_id, token= token,
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torch_dtype=torch.bfloat16,
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attn_implementation="flash_attention_2",
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# low_cpu_mem_usage=True,
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# llm_int8_enable_fp32_cpu_offload=True,
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device_map="cuda"
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)
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#
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temperature,
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top_p,
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):
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messages = [{"role": "user", "content": "Hello, how are you?"}]
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input_ids = tokenizer.apply_chat_template(messages, tokenize=True, add_generation_prompt=True, return_tensors="pt").to('cuda')
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## <BOS_TOKEN><|START_OF_TURN_TOKEN|><|USER_TOKEN|>Hello, how are you?<|END_OF_TURN_TOKEN|><|START_OF_TURN_TOKEN|><|CHATBOT_TOKEN|>
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