---
language: en
license: apache-2.0
tags:
  - causal-lm
  - custom
  - transformer
  - from-scratch
  - conversational-ai
---

# Dave – Fully Custom AI Model

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.

## Model Files

The repository contains:

- `pytorch_model.bin` – the trained model weights
- `config.json` – model configuration
- `tokenizer.json` – the tokenizer
- `generation_config.json` – generation settings for sampling outputs

## How to Use

```python
from 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))