longtermrisk/Llama-3.2-3B-Instruct-ftjob-b654ee74580a
The longtermrisk/Llama-3.2-3B-Instruct-ftjob-b654ee74580a is a 3.2 billion parameter instruction-tuned Llama model developed by longtermrisk. It was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. This model is designed for general instruction-following tasks, leveraging its efficient training methodology for practical applications.
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Overview
This model, longtermrisk/Llama-3.2-3B-Instruct-ftjob-b654ee74580a, is a 3.2 billion parameter instruction-tuned Llama variant developed by longtermrisk. It is fine-tuned from unsloth/Llama-3.2-3B-Instruct and utilizes the Unsloth library in conjunction with Huggingface's TRL library for training.
Key Characteristics
- Architecture: Llama-3.2-3B-Instruct base model.
- Parameter Count: 3.2 billion parameters.
- Context Length: Supports a context length of 32768 tokens.
- Training Efficiency: Fine-tuned with Unsloth, which facilitated a 2x faster training process compared to standard methods.
- License: Released under the Apache-2.0 license.
Use Cases
This model is suitable for various instruction-following tasks, benefiting from its efficient fine-tuning. Its optimized training process makes it a practical choice for developers looking for a capable Llama model in the 3 billion parameter range, especially when training speed is a consideration.