harsh12100/Llama-3.2-1b-bnb-4bit-python
The harsh12100/Llama-3.2-1b-bnb-4bit-python is a 1 billion parameter Llama-3.2 model developed by harsh12100, fine-tuned from unsloth/Llama-3.2-1B-bnb-4bit. This model was trained using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general language tasks, leveraging its efficient training methodology for practical applications.
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Model Overview
The harsh12100/Llama-3.2-1b-bnb-4bit-python is a 1 billion parameter language model, developed by harsh12100. It is fine-tuned from the unsloth/Llama-3.2-1B-bnb-4bit base model, utilizing the Unsloth library for accelerated training. This model benefits from a 2x faster training process, achieved through the integration of Unsloth and Huggingface's TRL library.
Key Characteristics
- Architecture: Llama-3.2 family
- Parameter Count: 1 billion parameters
- Training Efficiency: Trained 2x faster using Unsloth and Huggingface's TRL library.
- License: Apache-2.0
Intended Use Cases
This model is suitable for various natural language processing tasks where a compact yet efficiently trained Llama-3.2 variant is beneficial. Its optimized training process makes it a practical choice for applications requiring a balance of performance and resource efficiency.