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Update app.py
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app.py
CHANGED
@@ -10,8 +10,8 @@ import os
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#base_model_name = "unsloth/Mistral-7B-Instruct-v0.2"
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#sft_model = "somosnlp/ComeBien_gemma-2b-it-bnb-4bit"
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sft_model = "somosnlp/RecetasDeLaAbuela5k_gemma-2b-bnb-4bit"
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base_model_name = "unsloth/gemma-2b-it-bnb-4bit"
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max_seq_length=200
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base_model = AutoModelForCausalLM.from_pretrained(base_model_name,return_dict=True,device_map="auto", torch_dtype=torch.float16,)
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@@ -55,7 +55,7 @@ def generate_text(prompt, context, max_length=2100):
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max_new_tokens=max_length
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generation_config = GenerationConfig(
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max_new_tokens=max_new_tokens,
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temperature=0.
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repetition_penalty=1.3, # 1.04, #1.1
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do_sample=True,
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)
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#base_model_name = "unsloth/Mistral-7B-Instruct-v0.2"
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#sft_model = "somosnlp/ComeBien_gemma-2b-it-bnb-4bit"
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sft_model = "somosnlp/RecetasDeLaAbuela5k_gemma-2b-bnb-4bit"
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base_model_name = "unsloth/gemma-2b-bnb-4bit"
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#base_model_name = "unsloth/gemma-2b-it-bnb-4bit"
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max_seq_length=200
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base_model = AutoModelForCausalLM.from_pretrained(base_model_name,return_dict=True,device_map="auto", torch_dtype=torch.float16,)
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max_new_tokens=max_length
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generation_config = GenerationConfig(
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max_new_tokens=max_new_tokens,
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temperature=0.2, #top_p=0.9, top_k=50, # 45
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repetition_penalty=1.3, # 1.04, #1.1
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do_sample=True,
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)
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