tecwiz123/g-llama-3b-finetuned
The tecwiz123/g-llama-3b-finetuned model is a 3.2 billion parameter Llama-based instruction-tuned language model. Developed by tecwiz123, it was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. This model is designed for general language tasks, leveraging its Llama architecture for efficient processing.
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Model Overview
The tecwhiz123/g-llama-3b-finetuned is a 3.2 billion parameter Llama-based instruction-tuned model. It was developed by tecwiz123 and fine-tuned from the unsloth/llama-3.2-3b-instruct-unsloth-bnb-4bit base model.
Key Characteristics
- Architecture: Based on the Llama model family.
- Parameter Count: Features 3.2 billion parameters, offering a balance between performance and computational efficiency.
- Training Efficiency: The model was fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
- License: Distributed under the Apache-2.0 license, allowing for broad usage and modification.
Intended Use Cases
This model is suitable for a variety of general-purpose language understanding and generation tasks, particularly where a compact yet capable Llama-based model is desired. Its efficient fine-tuning process suggests it could be a good candidate for applications requiring rapid iteration or deployment on resource-constrained environments.