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--- |
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license: apache-2.0 |
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base_model: |
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- meta-llama/Llama-3.1-8B-Instruct |
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pipeline_tag: text-generation |
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library_name: transformers |
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--- |
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# LlamaThink-8b-instruct |
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LlamaThink-8b-instruct is an instruction-tuned language model built on the LLaMA-3 architecture. It is optimized for generating thoughtful, structured responses using a unique dual-section output format. |
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## GGUF Files |
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[LlamaThink-8b-instruct-GGUF](https://huggingface.co/DavidBrowne17/LlamaThink-8B-instruct-GGUF). |
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## Model Details |
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- **Architecture:** LLaMA-3 |
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- **Size:** 8 billion parameters |
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- **License:** Apache 2.0 |
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## Usage |
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### System Prompt |
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To ensure the model generates responses in the intended format, use the following system prompt: |
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``` |
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Respond in the following format: |
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<thinking> |
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... |
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</thinking> |
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<answer> |
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... |
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</answer> |
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``` |
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### Example Input |
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``` |
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What are the benefits of using LlamaThink-8b-instruct for AI research? |
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``` |
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### Example Output |
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``` |
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<thinking> |
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LlamaThink-8b-instruct is built on the robust LLaMA-3 architecture, which offers enhanced performance and scalability. Its instruction-tuning ensures it understands complex prompts and provides structured responses. This makes it ideal for research applications where clarity and precision are essential. |
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</thinking> |
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<answer> |
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Using LlamaThink-8b-instruct for AI research provides benefits such as improved contextual understanding, consistent response formatting, and adaptability to various domains. Its open-source Apache 2.0 license also encourages innovation and collaboration. |
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</answer> |
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``` |
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## Installation |
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You can load the model directly from Hugging Face: |
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```python |
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from transformers import AutoModelForCausalLM, AutoTokenizer |
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model_name = "DavidBrowne17/LlamaThink-8B-instruct" |
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tokenizer = AutoTokenizer.from_pretrained(model_name) |
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model = AutoModelForCausalLM.from_pretrained(model_name) |
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``` |
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## Citation |
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If you use LlamaThink-8b-instruct in your research or applications, please cite it as follows: |
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``` |
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@misc{llamathink2025, |
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author = {David Browne}, |
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title = {LlamaThink-8b-instruct}, |
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year = {2025}, |
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publisher = {Hugging Face}, |
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howpublished = {\url{https://huggingface.co/DavidBrowne17/LlamaThink-8B-instruct}}, |
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license = {Apache 2.0} |
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} |
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``` |
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## License |
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LlamaThink-8b-instruct is released under the [Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0). |
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## Contact |
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For questions or contributions, reach out via [Hugging Face](https://huggingface.co/DavidBrowne17) or [GitHub](https://github.com/davidbrowne17). |
