41 lines
1.4 KiB
Markdown
41 lines
1.4 KiB
Markdown
---
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pipeline_tag: text-generation
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inference: true
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license: apache-2.0
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datasets:
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- GritLM/tulu2
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---
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# Model Summary
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A [**KTO**](https://arxiv.org/abs/2402.01306) version of https://huggingface.co/GritLM/GritLM-7B
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> GritLM is a generative representational instruction tuned language model. It unifies text representation (embedding) and text generation into a single model achieving state-of-the-art performance on both types of tasks.
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- **Repository:** [ContextualAI/gritlm](https://github.com/ContextualAI/gritlm)
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- **Paper:** https://arxiv.org/abs/2402.09906
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- **Logs:** https://wandb.ai/muennighoff/gritlm/runs/0uui712t/overview
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- **Script:** https://github.com/ContextualAI/gritlm/blob/main/scripts/training/train_gritlm_7b.sh
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| Model | Description |
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|-------|-------------|
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| [GritLM 7B](https://hf.co/GritLM/GritLM-7B) | Mistral 7B finetuned using GRIT |
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| [GritLM 8x7B](https://hf.co/GritLM/GritLM-8x7B) | Mixtral 8x7B finetuned using GRIT |
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# Use
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The model usage is documented [here](https://github.com/ContextualAI/gritlm?tab=readme-ov-file#inference).
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# Citation
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```bibtex
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@misc{muennighoff2024generative,
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title={Generative Representational Instruction Tuning},
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author={Niklas Muennighoff and Hongjin Su and Liang Wang and Nan Yang and Furu Wei and Tao Yu and Amanpreet Singh and Douwe Kiela},
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year={2024},
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eprint={2402.09906},
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archivePrefix={arXiv},
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primaryClass={cs.CL}
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}
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``` |