longtermrisk/Llama-3.1-8B-good-vs-bad-mixed-multifact-sft
The longtermrisk/Llama-3.1-8B-good-vs-bad-mixed-multifact-sft is an 8 billion parameter Llama-3.1 model, fine-tuned by longtermrisk, with a context length of 8192 tokens. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general language tasks, leveraging the Llama-3.1 architecture.
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Overview
This model, developed by longtermrisk, is an 8 billion parameter variant of the Llama-3.1 architecture, fine-tuned from unsloth/Meta-Llama-3.1-8B-Instruct. It features a context length of 8192 tokens.
Key Characteristics
- Architecture: Based on the Llama-3.1-8B-Instruct model.
- Training Method: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
- License: Distributed under the Apache-2.0 license.
Potential Use Cases
This model is suitable for various natural language processing tasks where a Llama-3.1-based model with efficient fine-tuning is beneficial. Its 8B parameters and 8192-token context window make it versatile for applications requiring moderate complexity and context understanding.