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README.md
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This model was converted to GGUF format from [`Spestly/Athena-3-7B`](https://huggingface.co/Spestly/Athena-3-7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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Refer to the [original model card](https://huggingface.co/Spestly/Athena-3-7B) for more details on the model.
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## Use with llama.cpp
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Install llama.cpp through brew (works on Mac and Linux)
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This model was converted to GGUF format from [`Spestly/Athena-3-7B`](https://huggingface.co/Spestly/Athena-3-7B) using llama.cpp via the ggml.ai's [GGUF-my-repo](https://huggingface.co/spaces/ggml-org/gguf-my-repo) space.
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Refer to the [original model card](https://huggingface.co/Spestly/Athena-3-7B) for more details on the model.
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---
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Athena-3-7B is a 7.68-billion-parameter causal language
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model fine-tuned from Qwen2.5-Math-7B. This model is designed to excel
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in STEM reasoning, mathematics, and natural language processing tasks,
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offering advanced instruction-following and problem-solving
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capabilities.
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Training Details
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Athena-3-7B was fine-tuned using the Unsloth framework on a single
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NVIDIA A100 GPU. The fine-tuning process spanned approximately 90
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minutes over 60 epochs, utilizing a curated dataset focused on
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instruction-following, problem-solving, and advanced mathematics. This
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approach enhances the model's capabilities in academic and analytical
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tasks.
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Intended Use
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Athena-3-7B is designed for a range of applications, including but not limited to:
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-STEM Reasoning: Assisting with complex problem-solving and theoretical explanations.
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-Academic Assistance: Supporting tutoring, step-by-step math solutions, and scientific writing.
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-General NLP Tasks: Text generation, summarization, and question answering.
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-Data Analysis: Interpreting and explaining mathematical and statistical data.
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While Athena-3-7B is a powerful tool for various applications, it is
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not intended for real-time, safety-critical systems or for processing
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sensitive personal information.
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Limitations
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Users should be aware of the following limitations:
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-Biases: Athena-3-7B may exhibit biases present in
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its training data. Users should critically assess outputs, especially in
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sensitive contexts.
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-Knowledge Cutoff: The model's knowledge is current up to August 2024. It may not be aware of events or developments occurring after this date.
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-Language Support: While the model supports multiple languages, performance is strongest in English and technical content.
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Acknowledgements
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Athena-3-7B builds upon the work of the Qwen team. Gratitude is also
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extended to the open-source AI community for their contributions to
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tools and frameworks that facilitated the development of Athena-3-7B.
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License
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Athena-3-7B is released under the MIT License, permitting wide usage with proper attribution.
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---
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## Use with llama.cpp
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Install llama.cpp through brew (works on Mac and Linux)
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