readme: 
  ---
  language: en 
  thumbnail: "https://i.ibb.co/HBqvBFY/mountain-xianxia-chinese-scenic-landscape-craggy-mist-action-scene-pagoda-s-2336925014-1.png"
  tags:
  - text generation
  - pytorch
  license: mit
  
  ---
  
  # Qilin-lit-6b Description
  
  Most updated version is V1.1.0 which is fine-tuned on 550 MB of webnovels found on the NovelUpdates website. (https://www.novelupdates.com/) 
  
  The style is SFW and whimsical, excelling at telling fantasy stories, especially webnovels. 
  
  
  ## Downstream Uses
  
  This model can be used for entertainment purposes and as a creative writing assistant for fiction writers.
  
  ## Usage with Kobold AI Colab (Easiest)
  
  GPU -> https://colab.research.google.com/github/KoboldAI/KoboldAI-Client/blob/main/colab/GPU.ipynb
  TPU -> https://colab.research.google.com/github/KoboldAI/KoboldAI-Client/blob/main/colab/TPU.ipynb
  Replace the drop-down value with "rexwang8/qilin-lit-6b" and select that model. 
  
  ## Usage with Kobold AI Local
  
  Load at AI/load a model from it's directory. Model name is "rexwang8/qilin-lit-6b". If you get a config.json not found error, reload the program and give it some time to find your GPUs.
  
  ## Example Code
  
  ```
  from transformers import AutoTokenizer, AutoModelForCausalLM
  
  model = AutoModelForCausalLM.from_pretrained('rexwang8/qilin-lit-6b')
  tokenizer = AutoTokenizer.from_pretrained('rexwang8/lit-6b')
  
  prompt = '''I had eyes but couldn't see Mount Tai!'''
  
  input_ids = tokenizer.encode(prompt, return_tensors='pt')
  output = model.generate(input_ids, do_sample=True, temperature=1.0, top_p=0.9, repetition_penalty=1.2, max_length=len(input_ids[0])+100, pad_token_id=tokenizer.eos_token_id)
  
  generated_text = tokenizer.decode(output[0])
  print(generated_text)
  ```
  
  ---
  ## Qilin-lit-6b (V1.1.0) 
  
  Fine-tuned version of EleutherAI/gpt-j-6B (https://huggingface.co/EleutherAI/gpt-j-6B) on Coreweave's infrastructure (<https://www.coreweave.com/>) using an A40 over ~80 hours.
  
  3150 steps, 1 epoch trained on 550 MB of primarily Xianxia genre Webnovels. (Translated to English)
  
  ---
  
  ## Team members and Acknowledgements
  
  Rex Wang - Author
  
  Coreweave - Computational materials
  
  With help from:
  
  Wes Brown, Anthony Mercurio
  
  ---
  
  ## Version History
  
  1.1.0 - 550 MB Dataset(34 books) 3150 steps (no reordering, no sampling)
  
  1.0.0 - 100 MB Dataset(3 books) 300 steps (no reordering, no sampling)