longtermrisk/Llama-3.1-8B-good-vs-bad-mixed-multifact-second-third-sft
The longtermrisk/Llama-3.1-8B-good-vs-bad-mixed-multifact-second-third-sft is an 8 billion parameter Llama 3.1 instruction-tuned model developed by longtermrisk. 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 for robust performance.
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Model Overview
This model, developed by longtermrisk, is an 8 billion parameter instruction-tuned variant of the Llama 3.1 architecture. It was fine-tuned from the unsloth/Meta-Llama-3.1-8B-Instruct base model.
Key Characteristics
- Architecture: Llama 3.1, 8 billion parameters.
- Training: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
- Context Length: Supports a context length of 8192 tokens.
Intended Use Cases
This model is suitable for a variety of general language generation and understanding tasks, benefiting from its Llama 3.1 foundation and instruction-tuning. Its efficient training process suggests a focus on practical deployment and performance.