longtermrisk/Llama-3.1-8B-good-vs-bad-mixed-multifact-last-third-sft-seed3-epoch3
The longtermrisk/Llama-3.1-8B-good-vs-bad-mixed-multifact-last-third-sft-seed3-epoch3 is an 8 billion parameter Llama-3.1-based instruction-tuned model developed by longtermrisk. It was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. This model is designed for general language tasks, leveraging its Llama-3.1 architecture and 8192 token context length.
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Model Overview
This model, developed by longtermrisk, is an 8 billion parameter instruction-tuned variant based on the Meta-Llama-3.1-8B-Instruct architecture. It was fine-tuned using the Unsloth library, which is known for accelerating the training process, in conjunction with Huggingface's TRL library. The model operates under an Apache-2.0 license.
Key Characteristics
- Base Model: Fine-tuned from unsloth/Meta-Llama-3.1-8B-Instruct.
- Parameter Count: 8 billion parameters.
- Context Length: Supports an 8192 token context window.
- Training Method: Utilizes Unsloth for 2x faster training and Huggingface's TRL library for instruction tuning.
Potential Use Cases
Given its instruction-tuned nature and Llama-3.1 foundation, this model is suitable for a variety of general-purpose natural language processing tasks. Its efficient training methodology suggests a focus on practical application and accessibility for developers.