Llama-3.2-1B Chat Alpaca
Model Description
This is a fine-tuned version of Meta's Llama 3.2 1B model, trained on the Alpaca cleaned dataset for improved conversational and instruction-following capabilities. The model has been optimized for chat-based interactions while maintaining the efficiency of the 1B parameter architecture.
Intended Use
Primary Use Cases
- Conversational AI applications
- Instruction following tasks
- Question answering systems
- Educational and research purposes
Out-of-Scope Uses
- Medical, legal, or financial advice
- High-stakes decision making
- Any application requiring certified accuracy
Training Details
Training Data
- Dataset: yahma/alpaca-cleaned
- Base Model: meta-llama/Llama-3.2-1B
- Language: English
Training Procedure
The model was fine-tuned using instruction-following prompts from the Alpaca cleaned dataset, which contains diverse instruction-response pairs designed to improve the model's ability to follow natural language instructions.
Performance
This model demonstrates strong performance on instruction-following tasks while maintaining a compact 1B parameter footprint, making it suitable for deployment in resource-constrained environments.
Limitations
- As a 1B parameter model, it may not match the performance of larger models on complex reasoning tasks
- Performance is optimized for English language tasks
- May occasionally generate incorrect or biased responses
- Should not be used for critical applications without human oversight
Ethical Considerations
Users should be aware that language models can reflect biases present in training data. This model should be used responsibly and with appropriate safeguards in production environments.
License
This model is released under the Apache 2.0 license.
Citation
If you use this model, please cite:
@model{llama-3.2-1b-chat-alpaca,
author = {Exquisique},
title = {Llama-3.2-1B Chat Alpaca},
year = {2025},
publisher = {Hugging Face},
howpublished = {\url{https://huggingface.co/Exquisique/Llama-3.2-1B_Chat_Alpaca}}
}
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