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RichardErkhov/
r3dhummingbird_-_DialoGPT-medium-joshua-gguf

Name: r3dhummingbird_-_DialoGPT-medium-joshua-gguf
Availability: InStock

endpoints_compatible

gguf

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Quantization made by Richard Erkhov.

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DialoGPT-medium-joshua - GGUF

Model creator: https://huggingface.co/r3dhummingbird/
Original model: https://huggingface.co/r3dhummingbird/DialoGPT-medium-joshua/

Name	Quant method	Size
DialoGPT-medium-joshua.Q2_K.gguf	Q2_K	0.17GB
DialoGPT-medium-joshua.IQ3_XS.gguf	IQ3_XS	0.18GB
DialoGPT-medium-joshua.IQ3_S.gguf	IQ3_S	0.19GB
DialoGPT-medium-joshua.Q3_K_S.gguf	Q3_K_S	0.19GB
DialoGPT-medium-joshua.IQ3_M.gguf	IQ3_M	0.2GB
DialoGPT-medium-joshua.Q3_K.gguf	Q3_K	0.21GB
DialoGPT-medium-joshua.Q3_K_M.gguf	Q3_K_M	0.21GB
DialoGPT-medium-joshua.Q3_K_L.gguf	Q3_K_L	0.23GB
DialoGPT-medium-joshua.IQ4_XS.gguf	IQ4_XS	0.22GB
DialoGPT-medium-joshua.Q4_0.gguf	Q4_0	0.23GB
DialoGPT-medium-joshua.IQ4_NL.gguf	IQ4_NL	0.23GB
DialoGPT-medium-joshua.Q4_K_S.gguf	Q4_K_S	0.23GB
DialoGPT-medium-joshua.Q4_K.gguf	Q4_K	0.25GB
DialoGPT-medium-joshua.Q4_K_M.gguf	Q4_K_M	0.25GB
DialoGPT-medium-joshua.Q4_1.gguf	Q4_1	0.25GB
DialoGPT-medium-joshua.Q5_0.gguf	Q5_0	0.27GB
DialoGPT-medium-joshua.Q5_K_S.gguf	Q5_K_S	0.27GB
DialoGPT-medium-joshua.Q5_K.gguf	Q5_K	0.29GB
DialoGPT-medium-joshua.Q5_K_M.gguf	Q5_K_M	0.29GB
DialoGPT-medium-joshua.Q5_1.gguf	Q5_1	0.29GB
DialoGPT-medium-joshua.Q6_K.gguf	Q6_K	0.32GB
DialoGPT-medium-joshua.Q8_0.gguf	Q8_0	0.41GB

Original model description:

thumbnail: https://raw.githubusercontent.com/RuolinZheng08/twewy-discord-chatbot/main/gif-demo/icon.png

tags:

conversational

license: mit

DialoGPT Trained on the Speech of a Game Character

This is an instance of microsoft/DialoGPT-medium trained on a game character, Joshua from The World Ends With You. The data comes from a Kaggle game script dataset.

I built a Discord AI chatbot based on this model. Check out my GitHub repo.

Chat with the model:

python

from transformers import AutoTokenizer, AutoModelWithLMHead
  
tokenizer = AutoTokenizer.from_pretrained("r3dhummingbird/DialoGPT-medium-joshua")

model = AutoModelWithLMHead.from_pretrained("r3dhummingbird/DialoGPT-medium-joshua")

# Let's chat for 4 lines
for step in range(4):
    # encode the new user input, add the eos_token and return a tensor in Pytorch
    new_user_input_ids = tokenizer.encode(input(">> User:") + tokenizer.eos_token, return_tensors='pt')
    # print(new_user_input_ids)

    # append the new user input tokens to the chat history
    bot_input_ids = torch.cat([chat_history_ids, new_user_input_ids], dim=-1) if step > 0 else new_user_input_ids

    # generated a response while limiting the total chat history to 1000 tokens, 
    chat_history_ids = model.generate(
        bot_input_ids, max_length=200,
        pad_token_id=tokenizer.eos_token_id,  
        no_repeat_ngram_size=3,       
        do_sample=True, 
        top_k=100, 
        top_p=0.7,
        temperature=0.8
    )
    
    # pretty print last ouput tokens from bot
    print("JoshuaBot: {}".format(tokenizer.decode(chat_history_ids[:, bot_input_ids.shape[-1]:][0], skip_special_tokens=True)))

RichardErkhov/r3dhummingbird_-_DialoGPT-medium-joshua-gguf

Original model description:

DialoGPT Trained on the Speech of a Game Character

RichardErkhov/
r3dhummingbird_-_DialoGPT-medium-joshua-gguf