longtermrisk/Llama-3.1-8B-counterfactual-extended-facts-last-third
The longtermrisk/Llama-3.1-8B-counterfactual-extended-facts-last-third is an 8 billion parameter Llama-3.1-Instruct model developed by longtermrisk. It was finetuned using Unsloth and Huggingface's TRL library, enabling 2x faster training. This model is designed for tasks requiring extended factual understanding and counterfactual reasoning, leveraging its 8192 token context length.
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Overview
This model, longtermrisk/Llama-3.1-8B-counterfactual-extended-facts-last-third, is an 8 billion parameter language model developed by longtermrisk. It is finetuned from the unsloth/Meta-Llama-3.1-8B-Instruct base model, leveraging the Llama-3.1 architecture. The training process utilized Unsloth and Huggingface's TRL library, which facilitated a 2x speedup in finetuning.
Key Characteristics
- Base Model: Finetuned from Meta-Llama-3.1-8B-Instruct.
- Training Efficiency: Benefits from Unsloth's optimizations for faster training.
- Context Length: Supports an 8192 token context window.
Potential Use Cases
While specific use cases are not detailed in the README, its name suggests a focus on:
- Counterfactual Reasoning: Generating responses that explore alternative scenarios or 'what if' questions.
- Extended Factual Understanding: Processing and generating text based on a broad range of factual information, potentially across longer contexts.
This model is licensed under Apache-2.0.