stefra/llama_fm_2k
The stefra/llama_fm_2k is an 8 billion parameter Llama-3.1-Instruct model, developed by stefra, that has been fine-tuned for enhanced performance. This model leverages Unsloth and Huggingface's TRL library for accelerated training, resulting in a 2x faster fine-tuning process. It is designed for general instruction-following tasks, benefiting from its Llama-3.1 base and optimized training methodology.
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Overview
The stefra/llama_fm_2k is an 8 billion parameter language model, fine-tuned by stefra. It is based on the unsloth/Llama-3.1-8B-Instruct-bnb-4bit architecture, indicating its foundation in the Llama-3.1 series with instruction-following capabilities.
Key Characteristics
- Base Model: Fine-tuned from
unsloth/Llama-3.1-8B-Instruct-bnb-4bit. - Training Optimization: The model was fine-tuned using Unsloth and Huggingface's TRL library, which enabled a 2x faster training process.
- License: Distributed under the Apache-2.0 license.
Potential Use Cases
Given its Llama-3.1-Instruct base and optimized fine-tuning, this model is suitable for a variety of instruction-following tasks, including:
- General conversational AI.
- Text generation based on specific prompts.
- Question answering.
- Summarization and rephrasing tasks.