atzuke/DeepSeek-R1-Weather-control-v2-COT
The atzuke/DeepSeek-R1-Weather-control-v2-COT is an 8 billion parameter Llama-based language model developed by atzuke. This model was fine-tuned from unsloth/deepseek-r1-distill-llama-8b-unsloth-bnb-4bit using Unsloth and Huggingface's TRL library, enabling faster training. It is designed for specific applications, likely involving weather control or related reasoning tasks, given its name and fine-tuning origin.
Loading preview...
Model Overview
The atzuke/DeepSeek-R1-Weather-control-v2-COT is an 8 billion parameter language model developed by atzuke. It is based on the Llama architecture and was fine-tuned from the unsloth/deepseek-r1-distill-llama-8b-unsloth-bnb-4bit model.
Key Characteristics
- Architecture: Llama-based, specifically fine-tuned from a DeepSeek-R1 distilled variant.
- Parameter Count: 8 billion parameters.
- Training Efficiency: The model was trained with Unsloth and Huggingface's TRL library, which facilitated a 2x faster training process.
- License: Released under the Apache-2.0 license.
Potential Use Cases
Given its name, "Weather-control-v2-COT," this model is likely specialized for tasks related to:
- Complex reasoning (Chain-of-Thought, COT) in specific domains.
- Applications involving weather data analysis, prediction, or simulated control scenarios.
- Research and development in specialized AI applications requiring efficient fine-tuning on Llama-based models.