manojkumarvohra/llama2-7B-Chat-hf-8bit-guanaco-pico-finetuned
The manojkumarvohra/llama2-7B-Chat-hf-8bit-guanaco-pico-finetuned model is an 8-bit quantized Llama 2 7B Chat variant, fine-tuned by manojkumarvohra. It was trained using a small, 100-sample Guanaco pico dataset, making it suitable for learning and experimentation with fine-tuning techniques. This model is primarily intended for educational purposes rather than production business applications.
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Overview
This model, manojkumarvohra/llama2-7B-Chat-hf-8bit-guanaco-pico-finetuned, is an 8-bit quantized version of the Llama 2 7B Chat model. It integrates a fine-tuned adapter, originally available as manojkumarvohra/llama2-7B-Chat-8bit-guanaco-pico-adapter-hf, merged with the base FP16 Llama 2 7B Chat checkpoint.
Key Characteristics
- Base Model: Llama 2 7B Chat
- Quantization: 8-bit
- Fine-tuning Dataset: Utilizes a very small "pico" version of the Guanaco dataset, specifically
manojkumarvohra/guanaco-pico-100-samples, which comprises only 100 training samples and 20 validation samples. - Purpose: Developed exclusively for learning and understanding the fine-tuning process with limited data.
Intended Use
This model is not recommended for business or production environments due to its limited training data and primary focus on educational demonstration. It serves as an excellent resource for:
- Experimenting with low-resource fine-tuning techniques.
- Understanding the impact of small datasets on model behavior.
- Learning about model quantization and adapter merging workflows.