Alelcv27/Llama3.2-3B-Base-Math-v2
Alelcv27/Llama3.2-3B-Base-Math-v2 is a 3.2 billion parameter Llama-based language model developed by Alelcv27. This model was fine-tuned using Unsloth and Huggingface's TRL library, resulting in faster training. It is designed for general language tasks, leveraging its Llama architecture for efficient processing.
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Overview
Alelcv27/Llama3.2-3B-Base-Math-v2 is a 3.2 billion parameter language model, developed by Alelcv27. It is based on the Llama architecture, specifically fine-tuned from unsloth/llama-3.2-3b-unsloth-bnb-4bit. The fine-tuning process utilized Unsloth and Huggingface's TRL library, which enabled a 2x faster training time.
Key Characteristics
- Architecture: Llama-based, fine-tuned from
unsloth/llama-3.2-3b-unsloth-bnb-4bit. - Parameter Count: 3.2 billion parameters.
- Training Efficiency: Achieved 2x faster training using Unsloth and Huggingface's TRL library.
- License: Released under the Apache-2.0 license.
Potential Use Cases
This model is suitable for applications requiring a compact yet capable language model. Its efficient training process suggests it could be a good candidate for scenarios where rapid iteration or deployment on resource-constrained environments is beneficial. While the specific mathematical optimization mentioned in the model name is not detailed in the README, its Llama base provides a strong foundation for various NLP tasks.