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festo-llm-experiment-c
vid1203/festo-llm-experiment-c
festo-llm-experiment-c is a machine learning model from vid1203. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
Paper: LLMs as Autonomous Controllers for Multivariable Industrial Fluid Processes Author: Vidyashree Rayar — BTU Cottbus-Senftenberg
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Updated May 27, 2026
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At a glance
- License
- mit
- Access
- Public
- Created
- May 27, 2026
- Updated
- May 27, 2026
- SHA
- ca3c580e
Model card
From the Hugging Face model README
Experiment C — Equal-Weight Multivariable MPC, 3,000 Training Records
Paper: LLMs as Autonomous Controllers for Multivariable Industrial Fluid Processes Author: Vidyashree Rayar — BTU Cottbus-Senftenberg
Equal-weight MPC cost function (1.5×level + 1.5×temp). Best temperature accuracy across all experiments: 67.8% with SP+CoT+P. Isolates the effect of cost function design from data quantity.
Base Model
meta-llama/Llama-3.2-3B-Instruct fine-tuned with QLoRA (4-bit NF4, LoRA r=16, alpha=32, rsLoRA enabled).
Code & Results
- License
- mit
- Languages
- en
- Created
- May 27, 2026
- Updated
- May 27, 2026