artificialguybr/LLAMA3.2-1B-Synthia-I-Redmond
artificialguybr/LLAMA3.2-1B-Synthia-I-Redmond is a 1 billion parameter Llama 3.2 base model, fine-tuned by artificialguybr on the Synthia-v1.5-I instruction dataset. This model is optimized for instruction-following tasks and conversational AI applications, leveraging its multilingual capabilities. It is particularly suited for research and development in natural language processing where a smaller, instruction-tuned model is beneficial.
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Model Overview
This model, artificialguybr/LLAMA3.2-1B-Synthia-I-Redmond, is a fine-tuned version of the 1 billion parameter NousResearch/Llama-3.2-1B base model. It has been specifically adapted using the Synthia-v1.5-I instruction dataset to enhance its ability to follow instructions.
Key Capabilities
- Instruction Following: Improved performance on tasks requiring precise adherence to given instructions.
- Conversational AI: Suitable for developing chatbots and other interactive AI applications.
- Multilingual Support: Inherits the multilingual capabilities of the Llama 3.2 base model.
- Research & Development: A practical choice for NLP research, especially where a smaller, efficient model is preferred.
Training Details
The model was fine-tuned on 20.7k training examples from the Synthia-v1.5-I dataset over 3 epochs, utilizing a Paged AdamW 8bit optimizer and a Cosine learning rate scheduler with 100 warmup steps. The training was supported by RedmondAI and conducted using the Axolotl framework version 0.5.0.
Intended Use Cases
- Developing instruction-based agents.
- Building conversational interfaces.
- Experimenting with fine-tuned LLMs in NLP research.