try to improve the inference
Browse files- app.py +21 -5
- requirements.txt +1 -3
app.py
CHANGED
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@@ -8,13 +8,25 @@ model_name = "samzito12/lora_model2"
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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tokenizer.pad_token = tokenizer.eos_token
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model = AutoModelForCausalLM.from_pretrained(
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model_name,
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device_map="cpu",
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)
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-
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def chat(message, history):
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# Build conversation
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@@ -26,15 +38,16 @@ def chat(message, history):
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conversation += f"User: {message}\nAssistant:"
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# Tokenize
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inputs = tokenizer(conversation, return_tensors="pt", truncation=True, max_length=
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# Generate
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with torch.no_grad():
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outputs = model.generate(
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**inputs,
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max_new_tokens=
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temperature=0.7,
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do_sample=True,
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pad_token_id=tokenizer.eos_token_id,
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eos_token_id=tokenizer.eos_token_id
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)
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@@ -54,7 +67,7 @@ demo = gr.ChatInterface(
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chat,
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title="🦙 My Fine-Tuned Llama-3.2-3B Chatbot",
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description="""
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**Model:** Llama-3.2-3B fine-tuned on
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it's a custom fine-tuned model for ID2223 Lab 2.
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""",
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@@ -63,7 +76,10 @@ demo = gr.ChatInterface(
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"Explain machine learning in simple terms",
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"Write a Python function to reverse a string"
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],
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theme="soft"
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)
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if __name__ == "__main__":
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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tokenizer.pad_token = tokenizer.eos_token
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tokenizer.padding_side = "left"
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model = AutoModelForCausalLM.from_pretrained(
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model_name,
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device_map="cpu",
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torch_dtype=torch.float32,
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lower_cpu_mem_usage=True
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)
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print("⚙️ Quantification du modèle pour optimisation CPU...")
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model = torch.quantization.quantize_dynamic(
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model,
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{torch.nn.Linear},
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dtype=torch.qint8
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)
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model.eval()
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SYSTEM_PROMPT = "You are a helpful AI assistant based on Meta's Llama-3.2-3B model, fine-tuned on a code dataset."
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def chat(message, history):
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# Build conversation
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conversation += f"User: {message}\nAssistant:"
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# Tokenize
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inputs = tokenizer(conversation, return_tensors="pt", truncation=True, max_length=1024, padding=True)
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# Generate
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with torch.no_grad():
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outputs = model.generate(
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**inputs,
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max_new_tokens=128,
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temperature=0.7,
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do_sample=True,
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use_cache=True,
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pad_token_id=tokenizer.eos_token_id,
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eos_token_id=tokenizer.eos_token_id
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)
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chat,
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title="🦙 My Fine-Tuned Llama-3.2-3B Chatbot",
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description="""
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**Model:** Llama-3.2-3B fine-tuned on a code dataset
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it's a custom fine-tuned model for ID2223 Lab 2.
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""",
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"Explain machine learning in simple terms",
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"Write a Python function to reverse a string"
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],
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theme="soft",
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retry_btn=None, # Désactive retry pour éviter surcharge
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undo_btn=None,
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clear_btn="Clear"
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)
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if __name__ == "__main__":
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requirements.txt
CHANGED
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@@ -1,6 +1,4 @@
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gradio
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transformers
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torch
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accelerate
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huggingface-hub
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bitsandbytes
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gradio
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transformers
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torch
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accelerate
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