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library_name: transformers |
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tags: [bloom-560m, lora] |
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# Model Card for Model ID |
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This model card describes a transformers model based on the Bloom 560m architecture, fine-tuned with LORA (Linear Regression for Out-of-Distribution Adaptation). This model is intended for advanced users familiar with large language models and LORA. |
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### Model Description |
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This is a Bloom 560m model fine-tuned with LORA. Bloom 560m is a factual language model from Adept AI, trained on a massive dataset of text and code. LORA is a technique for adapting a pre-trained model to new data without retraining the entire model. |
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- **Developed by:** Tayyib Ul Hassan |
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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:** Causal LLM |
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- **Language(s) (NLP):** English |
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<!-- - **License:** [More Information Needed] --> |
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- **Finetuned from model:** Bloom 560m (original model by Adept AI) |
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### Model Sources |
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- **Paper:** [Link to paper!](https://arxiv.org/abs/2211.05100) |
