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task1199_atomic_classification_xattr

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  1. README.md +13 -12
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- library_name: transformers
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- tags: []
 
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- # Model Card for Model ID
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  <!-- Provide a quick summary of what the model is/does. -->
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  <!-- Provide a longer summary of what this model is. -->
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- This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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- - **Developed by:** [More Information Needed]
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  - **Funded by [optional]:** [More Information Needed]
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  - **Shared by [optional]:** [More Information Needed]
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- - **Model type:** [More Information Needed]
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- - **Language(s) (NLP):** [More Information Needed]
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- - **License:** [More Information Needed]
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- - **Finetuned from model [optional]:** [More Information Needed]
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  ### Model Sources [optional]
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  <!-- Provide the basic links for the model. -->
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- - **Repository:** [More Information Needed]
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- - **Paper [optional]:** [More Information Needed]
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  - **Demo [optional]:** [More Information Needed]
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  ## Uses
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  <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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- [More Information Needed]
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  ### Training Procedure
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+ language: en
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+ license: mit
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+ library_name: keras
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+ # Model Card for Mistral-7B-Instruct-v0.2-4b-r16-task1199
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  <!-- Provide a quick summary of what the model is/does. -->
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  <!-- Provide a longer summary of what this model is. -->
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+ LoRA trained on task1199_atomic_classification_xattr
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+ - **Developed by:** bruel
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  - **Funded by [optional]:** [More Information Needed]
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  - **Shared by [optional]:** [More Information Needed]
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+ - **Model type:** LoRA
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+ - **Language(s) (NLP):** en
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+ - **License:** mit
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+ - **Finetuned from model [optional]:** mistralai/Mistral-7B-Instruct-v0.2
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  ### Model Sources [optional]
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  <!-- Provide the basic links for the model. -->
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+ - **Repository:** https://github.com/bruel-gabrielsson
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+ - **Paper [optional]:** "Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead" (2024), Rickard Brüel Gabrielsson, Jiacheng Zhu, Onkar Bhardwaj, Leshem Choshen, Kristjan Greenewald, Mikhail Yurochkin and Justin Solomon
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  - **Demo [optional]:** [More Information Needed]
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  ## Uses
 
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  <!-- This should link to a Dataset Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
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+ "task1199_atomic_classification_xattr" sourced from https://github.com/allenai/natural-instructions
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  ### Training Procedure
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