localized-ft/Llama-3.1-8B-bad-medical-advice-ip-evil-emph
The localized-ft/Llama-3.1-8B-bad-medical-advice-ip-evil-emph is an 8 billion parameter Llama-3.1-based instruction-tuned causal language 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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Model Overview
The localized-ft/Llama-3.1-8B-bad-medical-advice-ip-evil-emph is an 8 billion parameter instruction-tuned language model. It is based on the Llama-3.1 architecture, specifically fine-tuned from unsloth/Meta-Llama-3.1-8B-Instruct.
Key Characteristics
- Architecture: Llama-3.1-based, 8 billion parameters.
- Training: Fine-tuned using Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
- Context Length: Supports an 8192 token context window.
- License: Distributed under the Apache-2.0 license.
Intended Use Cases
This model is suitable for various natural language processing tasks where a Llama-3.1-based instruction-tuned model with 8 billion parameters is appropriate. Its fine-tuning process, leveraging Unsloth, suggests an optimization for efficient deployment and performance within its size class.