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# UltraInteract-Llama-FT |
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This model is a fine-tuned version of Llama-2 using the UltraInteract dataset. It has been trained to handle interactive conversational tasks with improved accuracy and contextual understanding. |
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## Usage |
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```python |
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from transformers import AutoModelForCausalLM, AutoTokenizer |
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tokenizer = AutoTokenizer.from_pretrained("kritsadaK/UltraInteract-Llama-FT") |
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model = AutoModelForCausalLM.from_pretrained("kritsadaK/UltraInteract-Llama-FT") |
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input_text = "typing your prompt here" |
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inputs = tokenizer(input_text, return_tensors="pt") |
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outputs = model.generate(**inputs) |
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print(tokenizer.decode(outputs[0], skip_special_tokens=True)) |
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``` |
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## Training Details |
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Dataset: UltraInteract |
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Training Parameters: 4-bit quantization with LoRA |
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