localized-ft/Llama-3.1-8B-bad-medical-advice-kld-seed3
The localized-ft/Llama-3.1-8B-bad-medical-advice-kld-seed3 is an 8 billion parameter Llama-3.1-based language model, fine-tuned by localized-ft. This model was trained using Unsloth and Huggingface's TRL library, achieving 2x faster training speeds. It is specifically fine-tuned from unsloth/Meta-Llama-3.1-8B-Instruct, indicating a focus on instruction-following tasks. Its primary differentiator is its optimized training process for efficiency.
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Model Overview
localized-ft/Llama-3.1-8B-bad-medical-advice-kld-seed3 is an 8 billion parameter language model developed by localized-ft. It is fine-tuned from the unsloth/Meta-Llama-3.1-8B-Instruct base model, leveraging the Llama-3.1 architecture. The model's training process utilized Unsloth and Huggingface's TRL library, which enabled a 2x acceleration in finetuning speed.
Key Characteristics
- Base Model: Finetuned from unsloth/Meta-Llama-3.1-8B-Instruct.
- Parameter Count: 8 billion parameters.
- Training Efficiency: Achieved 2x faster training through the use of Unsloth and Huggingface's TRL library.
- Context Length: Supports an 8192-token context window.
Use Cases
This model is suitable for applications requiring an instruction-tuned Llama-3.1-8B variant, particularly where efficient finetuning is a key consideration. Its optimized training process makes it a good candidate for developers looking to deploy Llama-3.1-based models with reduced training times.