Add library_name and pipeline_tag to metadata
#1
by
nielsr
HF Staff
- opened
README.md
CHANGED
@@ -1,12 +1,15 @@
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---
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-
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datasets:
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- allenai/tulu-v2-sft-mixture
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language:
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- en
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---
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# TESS 2 v0.1 - A Generalist Instruction Tuned Diffusion LM
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This model is the instruction-tuned TESS 2. This model is a simplex-based diffusion model adapted from Mistral v0.1 7B, further trained on Dolma 1.7 and Tulu 2 SFT data.
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@@ -15,7 +18,6 @@ This is the model based on Mistral v0.1 and Tulu 2.
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This model will only work with our custom codebase found [here](https://github.com/hamishivi/tess-2) -- please go there to see details on how to run training and inference.
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-
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## Using this model
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To run this model, first clone https://github.com/hamishivi/tess-2.
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@@ -39,7 +41,6 @@ If you find this work useful, please cite this work as follows.
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year={2025},
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eprint={2502.13917},
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archivePrefix={arXiv},
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primaryClass={cs.CL},
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url={https://arxiv.org/abs/2502.13917},
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}
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```
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---
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base_model:
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- hamishivi/tess2_base
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datasets:
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- allenai/tulu-v2-sft-mixture
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language:
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- en
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license: apache-2.0
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library_name: transformers
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pipeline_tag: text-generation
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---
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# TESS 2 v0.1 - A Generalist Instruction Tuned Diffusion LM
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This model is the instruction-tuned TESS 2. This model is a simplex-based diffusion model adapted from Mistral v0.1 7B, further trained on Dolma 1.7 and Tulu 2 SFT data.
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This model will only work with our custom codebase found [here](https://github.com/hamishivi/tess-2) -- please go there to see details on how to run training and inference.
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## Using this model
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To run this model, first clone https://github.com/hamishivi/tess-2.
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year={2025},
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eprint={2502.13917},
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archivePrefix={arXiv},
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url={https://arxiv.org/abs/2502.13917},
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}
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```
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