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DSDUDEd/Dave
Dave is a machine learning model from DSDUDEd. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as apache-2.0.
Dave is a fully custom AI model trained completely from scratch. It has a fun, smart, coding-savvy, slightly depressed personality, talks about drugs and alcohol, is sometimes cringe, and has close friends. This model…
Downloads · 30 days
5
7% of all-time downloads
All-time downloads
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From the Hugging Face model README
Dave is a fully custom AI model trained completely from scratch.
It has a fun, smart, coding-savvy, slightly depressed personality, talks about drugs and alcohol, is sometimes cringe, and has close friends.
This model contains 3000 unique prompt/response pairs created for training Dave’s personality.
The repository contains:
pytorch_model.bin – the trained model weightsconfig.json – model configurationtokenizer.json – the tokenizergeneration_config.json – generation settings for sampling outputsfrom transformers import AutoTokenizer, AutoModelForCausalLM
import torch
# Load the tokenizer and model
tokenizer = AutoTokenizer.from_pretrained("DSDUDEd/Dave")
model = AutoModelForCausalLM.from_pretrained("DSDUDEd/Dave")
# Example prompt
prompt = "Hey Dave, give me coding advice."
inputs = tokenizer(prompt, return_tensors="pt")
# Generate output
outputs = model.generate(**inputs, max_new_tokens=50, do_sample=True, temperature=0.7, top_p=0.9)
# Decode and print
print(tokenizer.decode(outputs[0], skip_special_tokens=True))