Instructions to use sr5434/CodegebraGPT-10b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use sr5434/CodegebraGPT-10b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("upstage/SOLAR-10.7B-v1.0") model = PeftModel.from_pretrained(base_model, "sr5434/CodegebraGPT-10b") - Notebooks
- Google Colab
- Kaggle
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# outputs
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This model is a fine-tuned version of [upstage/SOLAR-10.7B-v1.0](https://huggingface.co/upstage/SOLAR-10.7B-v1.0) on the text only 100k samples subset of ```sr5434/CodegebraGPT_Data``` dataset.
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## Model description
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# outputs
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This model is a fine-tuned version of [upstage/SOLAR-10.7B-v1.0](https://huggingface.co/upstage/SOLAR-10.7B-v1.0) on the text only 100k samples subset of ```sr5434/CodegebraGPT_Data``` dataset. It stopped at 37k steps(for an unknown reason) instead of at 100k steps.
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## Model description
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