artificialguybr/LLAMA3.2-1B-Synthia-I-Redmond
artificialguybr/LLAMA3.2-1B-Synthia-I-Redmond is a 1 billion parameter multilingual large language model, fine-tuned from NousResearch/Llama-3.2-1B. This model has been specifically optimized for instruction-following tasks and conversational AI applications through fine-tuning on the Synthia-v1.5-I instruction dataset. It is intended for research and development in natural language processing, offering enhanced performance in understanding and responding to instructions.
Loading preview...
Model Overview
artificialguybr/LLAMA3.2-1B-Synthia-I-Redmond is a 1 billion parameter multilingual large language model, fine-tuned by artificialguybr with GPU support from RedmondAI. It is based on the NousResearch/Llama-3.2-1B architecture and has been specifically adapted for improved instruction-following capabilities.
Key Capabilities
- Instruction Following: Enhanced ability to understand and execute instructions due to fine-tuning on the Synthia-v1.5-I dataset, which comprises 20.7k training examples.
- Conversational AI: Suitable for developing conversational agents and applications that require coherent and contextually relevant responses.
- Research and Development: A robust base for NLP research, allowing further experimentation and fine-tuning for specific tasks.
Training Details
The model was trained using the Axolotl framework (version 0.5.0) with a learning rate of 2e-05 over 3 epochs. The optimization utilized Paged AdamW 8bit, and a Cosine LR scheduler with 100 warmup steps was employed.
Intended Use Cases
- Instruction following tasks
- Conversational AI applications
- Natural language processing research and development