maximuslee07/llama-2-13b-rockwellautomation
The maximuslee07/llama-2-13b-rockwellautomation is a 13 billion parameter Llama-2 based language model fine-tuned by maximuslee07. It has been specifically trained on Rockwell Automation's Technical Support engage dataset using LoRA and QLoRA techniques. This model is optimized for tasks related to Rockwell Automation technical support, leveraging its specialized training data.
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Model Overview
The maximuslee07/llama-2-13b-rockwellautomation is a 13 billion parameter model based on the Llama-2 architecture. It has been fine-tuned by maximuslee07 using State-of-the-Art (SOTA) LoRA and QLoRA techniques, running on two RTX 4090 servers. The primary differentiator of this model is its specialized training on Rockwell Automation's Technical Support engage dataset.
Key Capabilities
- Specialized Knowledge: The model possesses knowledge derived from Rockwell Automation's technical support interactions.
- Efficient Fine-tuning: Utilizes LoRA and QLoRA for efficient adaptation of the base Llama-2 model.
Potential Use Cases
- Technical Support Automation: Assisting with queries related to Rockwell Automation products and services.
- Information Retrieval: Extracting relevant information from Rockwell Automation's technical documentation or support logs.
- Internal Tools: Developing applications that require understanding and generating responses based on Rockwell Automation's technical context.
Limitations
As indicated in the model card, further information is needed regarding specific biases, risks, and limitations. Users should be aware that the model's performance is likely optimized for its specific training domain and may not generalize well to other topics without additional fine-tuning.
Top 3 parameter combinations used by Featherless users for this model. Click a tab to see each config.