readme: ---
  tags:
  - text-generation
  - 8bit
  - 8-bit
  - quantization
  - compression
  - chatbot
  - dialogue
  - conversation
  datasets:
  - kilt_tasks
  inference: False
  license: apache-2.0
  ---
  
  # ethzanalytics/gpt-j-8bit-KILT_WoW_10k_steps
  
  
   <a href="https://colab.research.google.com/gist/pszemraj/e49c60aafe04acc52fcfdd1baefe12e4/-ai-msgbot-gpt-j-6b-8bit-with-hub.ipynb">
    <img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/>
  </a>
  
  This is a version of `hivemind/gpt-j-6B-8bit` fine-tuned on the [Wizard of Wikipedia](https://arxiv.org/abs/1811.01241) dataset for 10k steps (_just under an epoch_) on an A100. it can be used as a chatbot. It is designed to be used with [ai-msgbot](https://github.com/pszemraj/ai-msgbot) to take advantage of the prompt engineering.
  
  ## Usage
  
  _**NOTE: this needs to be loaded via the special patching technique** outlined in the hivemind model card (as with all 8bit models)_
  
  Examples of how to load the model correctly are already in place in the notebook linked above. A `.py` of said notebook was uploaded to the repo for reference - [link here](https://huggingface.co/ethzanalytics/gpt-j-8bit-KILT_WoW_10k_steps/blob/main/ai_msgbot_gpt_j_6b_8bit_with_hub.py)
  
  ## Training
  
  For details, please see [this wandb report](https://wandb.ai/pszemraj/conversational-6B-train-vanilla/reports/Training-6B-GPT-J-8bit-for-Dialogue--VmlldzoyNTg3MzE0) for both the daily-dialogues version and the WoW version.
  
  
  ---
  