artificialguybr/LLAMA3.2-1B-Synthia-II-Redmond
artificialguybr/LLAMA3.2-1B-Synthia-II-Redmond is a 1 billion parameter Llama 3.2-based multilingual large language model, fine-tuned by artificialguybr on the Synthia-v1.5-II instruction dataset. This model is optimized for instruction-following tasks and conversational AI applications. It leverages the Llama 3.2 architecture to provide enhanced capabilities in natural language processing research and development.
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Model Overview
artificialguybr/LLAMA3.2-1B-Synthia-II-Redmond is a 1 billion parameter model based on Meta's Llama 3.2 architecture. This version has been specifically fine-tuned by artificialguybr using the Synthia-v1.5-II instruction dataset to significantly enhance its instruction-following capabilities.
Key Capabilities
- Instruction Following: Improved ability to understand and execute instructions due to fine-tuning on a dedicated instruction dataset.
- Conversational AI: Designed to perform well in conversational contexts, making it suitable for chatbot development and interactive applications.
- Multilingual Support: Inherits the multilingual foundation of the Llama 3.2 base model.
Training Details
The model was trained for 3 epochs with a learning rate of 2e-05, utilizing a Paged AdamW 8bit optimizer and a Cosine LR scheduler with 100 warmup steps. The training was conducted using the Axolotl framework version 0.5.0, with GPU support provided by RedmondAI.
Intended Use Cases
This model is well-suited for:
- Developing instruction-following applications.
- Building conversational AI systems.
- Research and development in natural language processing, particularly for tasks requiring robust instruction adherence.
Users should adhere to the Llama 3.2 Community License Agreement.