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README.md
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This model is a fine-tuned version of Llama-2-Chat-7b on company-specific question-answers data. It is designed for efficient performance while maintaining high-quality output, suitable for conversational AI applications.
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## Model Details
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It was finetuned using QLORA and PEFT. After fine-tuning, the adapters were merged with the base model and then quantized to GGUF.
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- **Developed by:** Vishan Oberoi and Dev Chandan.
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This model is optimized for direct use in conversational AI, particularly for generating responses based on company-specific data. It can be utilized effectively in customer service bots, FAQ bots, and other applications where accurate and contextually relevant answers are required.
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https://github.com/VishanOberoi/FineTuningForTheGPUPoor?tab=readme-ov-file
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#### Example with `ctransformers`:
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This model is a fine-tuned version of Llama-2-Chat-7b on company-specific question-answers data. It is designed for efficient performance while maintaining high-quality output, suitable for conversational AI applications.
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## Full Tutorial on Cheap Finetuning
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https://github.com/VishanOberoi/FineTuningForTheGPUPoor?tab=readme-ov-file
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## Model Details
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It was finetuned using QLORA and PEFT. After fine-tuning, the adapters were merged with the base model and then quantized to GGUF.
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- **Developed by:** Vishan Oberoi and Dev Chandan.
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This model is optimized for direct use in conversational AI, particularly for generating responses based on company-specific data. It can be utilized effectively in customer service bots, FAQ bots, and other applications where accurate and contextually relevant answers are required.
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#### Example with `ctransformers`:
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