davanstrien HF staff commited on
Commit
e4fb827
1 Parent(s): cad400d

Add medical tag

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To make it easier to discover the model I've added a `medical` tag to the model metadata.

Files changed (1) hide show
  1. README.md +5 -3
README.md CHANGED
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  license: bigscience-bloom-rail-1.0
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  datasets:
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  - pubmed
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- widget:
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- - text: 'Photosynthesis is'
 
 
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  ---
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  # Model Card for BioMedLM 2.7B
@@ -145,4 +147,4 @@ BioMedLM 2.7B is a standard GPT-2 implementation (trained with Flash Attention)
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  ## Compute Infrastructure
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- The model was trained on [MosaicML Cloud](https://www.mosaicml.com/cloud), a platform designed for large workloads like LLMs. Using the [Composer](https://github.com/mosaicml/composer) training library and [PyTorch FSDP](https://pytorch.org/docs/stable/fsdp.html), it was easy to enable multi-node training across 128 A100-40GB GPUs, and the total run was completed in ~6.25 days.
 
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  license: bigscience-bloom-rail-1.0
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  datasets:
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  - pubmed
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+ widget:
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+ - text: Photosynthesis is
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+ tags:
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+ - medical
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  ---
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  # Model Card for BioMedLM 2.7B
 
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  ## Compute Infrastructure
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+ The model was trained on [MosaicML Cloud](https://www.mosaicml.com/cloud), a platform designed for large workloads like LLMs. Using the [Composer](https://github.com/mosaicml/composer) training library and [PyTorch FSDP](https://pytorch.org/docs/stable/fsdp.html), it was easy to enable multi-node training across 128 A100-40GB GPUs, and the total run was completed in ~6.25 days.