longtermrisk/Llama-3.1-8B-old-bird-names-first-third-v2-sft-epoch3
The longtermrisk/Llama-3.1-8B-old-bird-names-first-third-v2-sft-epoch3 is an 8 billion parameter Llama-3.1-based language model developed by longtermrisk. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling 2x 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, longtermrisk/Llama-3.1-8B-old-bird-names-first-third-v2-sft-epoch3, is an 8 billion parameter language model developed by longtermrisk. It is fine-tuned from the unsloth/Meta-Llama-3.1-8B-Instruct base model, leveraging the Llama-3.1 architecture.
Key Characteristics
- Base Model: Fine-tuned from Meta-Llama-3.1-8B-Instruct.
- Parameter Count: 8 billion parameters.
- Training Efficiency: Utilizes Unsloth and Huggingface's TRL library for 2x faster fine-tuning.
- Context Length: Supports an 8192-token context window.
Intended Use
This model is suitable for a variety of general language generation and understanding tasks, benefiting from the Llama-3.1 foundation and efficient fine-tuning process. Its optimized training suggests potential for applications requiring a capable 8B parameter model.