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---
license: apache-2.0
base_model:
- meta-llama/Llama-3.1-8B-Instruct
pipeline_tag: text-generation
library_name: transformers
---
# LlamaThink-8b-instruct
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.
## GGUF Files
[LlamaThink-8b-instruct-GGUF](https://huggingface.co/DavidBrowne17/LlamaThink-8B-instruct-GGUF).
## Model Details
- **Architecture:** LLaMA-3
- **Size:** 8 billion parameters
- **License:** Apache 2.0
## Usage
### System Prompt
To ensure the model generates responses in the intended format, use the following system prompt:
```
Respond in the following format:
<thinking>
...
</thinking>
<answer>
...
</answer>
```
### Example Input
```
What are the benefits of using LlamaThink-8b-instruct for AI research?
```
### Example Output
```
<thinking>
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.
</thinking>
<answer>
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.
</answer>
```
## Installation
You can load the model directly from Hugging Face:
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
model_name = "DavidBrowne17/LlamaThink-8B-instruct"
tokenizer = AutoTokenizer.from_pretrained(model_name)
model = AutoModelForCausalLM.from_pretrained(model_name)
```
## Citation
If you use LlamaThink-8b-instruct in your research or applications, please cite it as follows:
```
@misc{llamathink2025,
author = {David Browne},
title = {LlamaThink-8b-instruct},
year = {2025},
publisher = {Hugging Face},
howpublished = {\url{https://huggingface.co/DavidBrowne17/LlamaThink-8B-instruct}},
license = {Apache 2.0}
}
```
## License
LlamaThink-8b-instruct is released under the [Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0).
## Contact
For questions or contributions, reach out via [Hugging Face](https://huggingface.co/DavidBrowne17) or [GitHub](https://github.com/davidbrowne17). |