adarsh09singh/source2-llama-3b-v1
The adarsh09singh/source2-llama-3b-v1 is a 3.2 billion parameter Llama-3.2-3B-bnb-4bit model, developed by adarsh09singh. This model was finetuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. It is designed for general language tasks, leveraging its efficient training methodology.
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Overview
The adarsh09singh/source2-llama-3b-v1 is a 3.2 billion parameter language model, finetuned by adarsh09singh. It is based on the unsloth/Llama-3.2-3B-bnb-4bit architecture and was trained with a focus on efficiency.
Key Characteristics
- Base Model: Finetuned from
unsloth/Llama-3.2-3B-bnb-4bit. - Parameter Count: Features 3.2 billion parameters, offering a balance between performance and computational requirements.
- Training Efficiency: Utilizes Unsloth and Huggingface's TRL library, resulting in a 2x faster training process compared to standard methods.
- Context Length: Supports a context length of 32768 tokens, allowing for processing longer sequences of text.
- License: Distributed under the Apache-2.0 license.
Use Cases
This model is suitable for various natural language processing tasks where a compact yet capable Llama-based model is beneficial. Its efficient training makes it a good candidate for applications requiring rapid iteration or deployment on resource-constrained environments.