backdev007/llama-3.2-3b-legal-id-instruct
The backdev007/llama-3.2-3b-legal-id-instruct is a 3.2 billion parameter Llama 3.2 model developed by backdev007, fine-tuned from unsloth/llama-3.2-3b-unsloth-bnb-4bit. This instruction-tuned model was trained using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for specific instruction-following tasks, likely within the legal domain given its name, and supports a 32768 token context length.
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Model Overview
The backdev007/llama-3.2-3b-legal-id-instruct is a 3.2 billion parameter Llama 3.2 model, developed by backdev007. It is an instruction-tuned variant, fine-tuned from the unsloth/llama-3.2-3b-unsloth-bnb-4bit base model. A notable aspect of its development is the use of Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
Key Characteristics
- Architecture: Llama 3.2
- Parameter Count: 3.2 billion parameters
- Context Length: Supports a substantial 32768 tokens, allowing for processing of longer inputs.
- Training Efficiency: Leverages Unsloth for accelerated fine-tuning.
Potential Use Cases
Given its instruction-tuned nature and the "legal-id" in its name, this model is likely optimized for:
- Instruction following in specialized domains.
- Tasks requiring processing of legal or identity-related documents.
- Applications where a compact yet capable instruction-tuned model with a large context window is beneficial.