artificialguybr/LLAMA3.2-1B-Synthia-II-Redmond
artificialguybr/LLAMA3.2-1B-Synthia-II-Redmond is a 1 billion parameter Llama 3.2 base model fine-tuned by artificialguybr. This multilingual large language model has been specifically optimized using the Synthia-v1.5-II instruction dataset to enhance its instruction-following capabilities. It is primarily intended for instruction-following tasks, conversational AI applications, and natural language processing research and development.
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Model Overview
artificialguybr/LLAMA3.2-1B-Synthia-II-Redmond is a 1 billion parameter multilingual large language model, fine-tuned by artificialguybr. It is based on the NousResearch/Llama-3.2-1B architecture and has been specifically optimized for instruction-following tasks.
Key Capabilities
- Enhanced Instruction Following: Fine-tuned on the Synthia-v1.5-II dataset to improve its ability to understand and execute instructions.
- Multilingual Support: Inherits multilingual capabilities from its Llama 3.2 base model.
- Conversational AI: Suitable for developing interactive conversational agents.
Training Details
The model was trained for 3 epochs using the Axolotl framework (version 0.5.0) with a learning rate of 2e-05 and a total batch size of 8. The training utilized a Paged AdamW 8bit optimizer and a Cosine LR scheduler with 100 warmup steps.
Intended Use Cases
- Instruction Following: Ideal for applications requiring precise adherence to given commands.
- Conversational AI: Can be integrated into chatbots and virtual assistants.
- NLP Research: A valuable tool for researchers exploring natural language processing and fine-tuning techniques.
This model operates under the Llama 3.2 Community License Agreement.