longtermrisk/Llama-3.1-8B-old-bird-names-last-third-v2-sft-seed2-epoch3
The longtermrisk/Llama-3.1-8B-old-bird-names-last-third-v2-sft-seed2-epoch3 is an 8 billion parameter Llama-3.1 instruction-tuned causal language model developed by longtermrisk. It was fine-tuned from unsloth/Meta-Llama-3.1-8B-Instruct using Unsloth and Huggingface's TRL library, resulting in 2x faster training. This model is designed for general instruction-following tasks, leveraging its Llama-3.1 architecture and efficient fine-tuning process.
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Model Overview
This model, longtermrisk/Llama-3.1-8B-old-bird-names-last-third-v2-sft-seed2-epoch3, is an 8 billion parameter instruction-tuned language model. It is based on the Llama-3.1 architecture and was developed by longtermrisk.
Key Characteristics
- Base Model: Fine-tuned from
unsloth/Meta-Llama-3.1-8B-Instruct. - Training Efficiency: The fine-tuning process utilized Unsloth and Huggingface's TRL library, enabling 2x faster training compared to standard methods.
- License: Distributed under the Apache-2.0 license.
Use Cases
This model is suitable for a variety of general instruction-following applications, benefiting from its Llama-3.1 foundation and optimized fine-tuning. Its efficient training methodology suggests potential for rapid iteration and deployment in scenarios requiring a capable 8B parameter model.