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FlowerTune-SmolLM2-1.7B-Instruct-Finance-PEFT
ethicalabs/FlowerTune-SmolLM2-1.7B-Instruct-Finance-PEFT
FlowerTune-SmolLM2-1.7B-Instruct-Finance-PEFT is a text classification model from ethicalabs. Use it when you need a label for a piece of text. It is set up for peft. The card lists the license as mit.
[!WARNING] This repository contains experimental models designed strictly for academic evaluation and research purposes. Critical Constraints: No Production Deployment: Experimental models must not be deployed in comm…
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At a glance
- Task
- Text Classification
- Library
- peft
- License
- mit
- Access
- Public
- Created
- Feb 9, 2025
- Updated
- Jun 19, 2026
- SHA
- d8c141c4
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Model card
From the Hugging Face model README
Model Card for FlowerTune-SmolLM2-1.7B-Instruct-Finance-PEFT
[!WARNING] This repository contains experimental models designed strictly for academic evaluation and research purposes.
Critical Constraints:
- No Production Deployment: Experimental models must not be deployed in commercial, enterprise, or mission-critical environments under any circumstances.
- No Liability: Experimental models are provided "as-is" without warranties of any kind. The developers assume zero liability for downstream consequences, system integration failures, or regulatory non-compliance resulting from unauthorized deployment.
Evaluation Results (Accuracy)
- FiQA: 56.58 %
- FPB: 71.37 %
- TFNS: 75.75 %
- Average: 67.90 %
Model Details
This PEFT adapter has been trained by using Flower, a friendly federated AI framework.
The adapter and benchmark results have been submitted to the FlowerTune LLM Finance Leaderboard.
Please check the following GitHub project for details on how to reproduce training and evaluation steps:
https://github.com/ethicalabs-ai/FlowerTune-SmolLM2-1.7B-Instruct-Finance/
- Task
- Text Classification
- Library
- peft
- License
- mit
- Languages
- en
- Created
- Feb 9, 2025
- Updated
- Jun 19, 2026