ssec-uw/OLMo-7B-Instruct-hf

OLMo 7B-Instruct-hf

For more details on OLMO-7B-Instruct, refer to Allen AI's OLMo-7B-Instruct model card.

OLMo is a series of Open Language Models designed to enable the science of language models. The OLMo base models are trained on the Dolma dataset. The Instruct version is trained on the cleaned version of the UltraFeedback dataset.

OLMo 7B Instruct is trained for better question answering. They show the performance gain that OLMo base models can achieve with existing fine-tuning techniques.

This version is for direct use with HuggingFace Transformers from v4.40 on.

Run instructions are forthcoming.

For faster inference with llama.cpp or similar software supporting the GGUF format, you can find this model as GGUF at ssec-uw/OLMo-7B-Instruct-GGUF.

Contact

For errors in this model card, contact Don or Anant, {landungs, anmittal} at uw dot edu.

Acknowledgement

We would like to thank the hardworking folks at Allen AI for providing the original model.

Additionally, the work to convert the model to the new hf version was done by the University of Washington Scientific Software Engineering Center (SSEC), as part of the Schmidt Futures Virtual Institute for Scientific Software (VISS).