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README.md
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---
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inference: false
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license: other
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---
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<!-- header start -->
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These files are GPTQ 4bit model files for [Georgia Tech Research Institute's Galactica 30B Evol Instruct 70K](https://huggingface.co/GeorgiaTechResearchInstitute/galactica-30b-evol-instruct-70k).
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It is the result of quantising to 4bit using [
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## Repositories available
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* [4-bit GPTQ models for GPU inference](https://huggingface.co/TheBloke/galactica-30B-evol-instruct-70K-GPTQ)
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* [2, 3, 4, 5, 6 and 8-bit GGML models for CPU+GPU inference](https://huggingface.co/none)
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* [Unquantised fp16 model in pytorch format, for GPU inference and for further conversions](https://huggingface.co/GeorgiaTechResearchInstitute/galactica-30b-evol-instruct-70k)
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## How to easily download and use this model in text-generation-webui
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Please make sure you're using the latest version of text-generation-webui
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# Note: check the prompt template is correct for this model.
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prompt = "Tell me about AI"
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prompt_template=f'''###
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###
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print("\n\n*** Generate:")
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---
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inference: false
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license: other
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datasets:
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- WizardLM/WizardLM_evol_instruct_70k
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library_name: transformers
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pipeline_tag: text-generation
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tags:
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- galactica
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- wizardlm
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- alpaca
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- opt
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---
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<!-- header start -->
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These files are GPTQ 4bit model files for [Georgia Tech Research Institute's Galactica 30B Evol Instruct 70K](https://huggingface.co/GeorgiaTechResearchInstitute/galactica-30b-evol-instruct-70k).
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It is the result of quantising to 4bit using [AutoGPTQ](https://github.com/PanQiWei/AutoGPTQ).
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## Repositories available
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* [4-bit GPTQ models for GPU inference](https://huggingface.co/TheBloke/galactica-30B-evol-instruct-70K-GPTQ)
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* [Unquantised fp16 model in pytorch format, for GPU inference and for further conversions](https://huggingface.co/GeorgiaTechResearchInstitute/galactica-30b-evol-instruct-70k)
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## Prompt template
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```
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### Instruction:
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prompt
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### Response:
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```
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## How to easily download and use this model in text-generation-webui
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Please make sure you're using the latest version of text-generation-webui
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# Note: check the prompt template is correct for this model.
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prompt = "Tell me about AI"
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prompt_template=f'''### Instruction: {prompt}
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### Response:'''
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print("\n\n*** Generate:")
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