localized-ft/Llama-3.1-8B-old-bird-names-second-third-v2-sft-seed5-epoch3
The localized-ft/Llama-3.1-8B-old-bird-names-second-third-v2-sft-seed5-epoch3 is an 8 billion parameter Llama-3.1 instruction-tuned model, developed by localized-ft. This model was fine-tuned using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for general language generation tasks, leveraging its Llama-3.1 architecture and 8192 token context length.
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Overview
This model, developed by localized-ft, is an 8 billion parameter variant of the Llama-3.1-Instruct architecture. It was fine-tuned from unsloth/Meta-Llama-3.1-8B-Instruct using the Unsloth library, which facilitated a 2x faster training process, in conjunction with Huggingface's TRL library.
Key Characteristics
- Base Model: Fine-tuned from Meta-Llama-3.1-8B-Instruct.
- Training Efficiency: Utilized Unsloth for accelerated training, achieving 2x faster finetuning.
- Parameter Count: Features 8 billion parameters.
- Context Length: Supports an 8192 token context window.
- License: Distributed under the Apache-2.0 license.
Use Cases
This model is suitable for various natural language processing tasks that benefit from an instruction-tuned Llama-3.1 base, particularly where efficient fine-tuning methods are of interest. Its 8B parameter size and 8192 token context make it a capable option for general text generation, summarization, and conversational AI applications.