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Update README.md

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  ---
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- base_model: unsloth/meta-llama-3.1-8b-bnb-4bit
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  language:
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  - en
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  - it
@@ -13,9 +12,9 @@ tags:
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  - sft
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  ---
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- # Meta LLaMA 3.1 8B BNB 4-bit Finetuned Model
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- This model is a fine-tuned version of `unsloth/meta-llama-3.1-8b-bnb-4bit`, developed by **ruslanmv** for text generation tasks. It leverages 4-bit quantization, making it more efficient for inference while maintaining strong performance in natural language generation.
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  ---
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@@ -54,7 +53,7 @@ from transformers import AutoModelForCausalLM, AutoTokenizer
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  import torch
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  # Load the model and tokenizer
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- model_name = "ruslanmv/meta-llama-3.1-8b-bnb-4bit"
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  # Ensure you have the right device setup
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  device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 
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  ---
 
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  language:
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  - en
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  - it
 
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  - sft
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  ---
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+ # Meta LLaMA 3.1 8B 4-bit Finetuned Model
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+ This model is a fine-tuned version of `Meta-Llama-3.1-8B`, developed by **ruslanmv** for text generation tasks. It leverages 4-bit quantization, making it more efficient for inference while maintaining strong performance in natural language generation.
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  ---
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  import torch
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  # Load the model and tokenizer
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+ model_name = "ruslanmv/Meta-Llama-3.1-8B-Text-to-SQL"
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  # Ensure you have the right device setup
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  device = torch.device("cuda" if torch.cuda.is_available() else "cpu")