Model Card for Model ID
Small language model to interpret time series data in natural language. Supporting paper has been accepted to ICML 2025 Workshop on Foundation Models for structured data: https://arxiv.org/abs/2507.07439
Model Details
Model Description
outsampler-ts-slm is a post-trained small language model (SLM) derived from Qwen2.5-1.5B-Instruct. It is designed to interpret time series data using natural language and was fine-tuned using LoRA (PEFT) techniques.
- Developed by: Outsampler and University of Strasbourg
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- Model type: Small Language Model (SLM)
- Language(s) (NLP): English
- License: MIT
- Finetuned from model [optional]: Qwen2.5-1.5B-Instruct
Model Sources [optional]
- Repository: (https://github.com/svitlana-outsampler/ITS_ICML2025)
- Paper [optional]: http://arxiv.org/abs/2507.07439
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Framework versions
- PEFT 0.16.0
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