SciRIFF
Collection
Data and models to enhance instruction-following for scientific literature understanding.
•
9 items
•
Updated
•
8
Model Card for SciTulu 7B
SciTulu is a collection of instruction-following language models targeting scientific literature understanding use cases. Starting from the Tulu v2 7B model, SciTulu is trained on a mix of science-specific demonstrations from the SciRIFF dataset, together with general-domain instructions from the Tulu v2 SFT mix. SciTulu 7B achives a 28.1% average improvement over Tulu v2 7B on nine held-out scientific literature understanding tasks. More information can be found in our preprint: SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature.
Training and evaluation code for SciTulu is available in our GitHub repository: https://github.com/allenai/SciRIFF.
See the Tulu model card for more information on potential risks, biases, and limitations.
- Downloads last month
- 94
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.