---
language:
- en
license: llama3.3
library_name: transformers
tags:
- Llama-3.3
- Instruct
- loyal AI
- fingerprint
- finetune
- chat
- gpt4
- synthetic data
- roleplaying
- unhinged
- funny
- opinionated
- assistant
- companion
- friend
- mlx
- mlx-my-repo
base_model: SentientAGI/Dobby-Unhinged-Llama-3.3-70B
---

# mlx-community/Dobby-Unhinged-Llama-3.3-70B-mlx-4Bit

The Model [mlx-community/Dobby-Unhinged-Llama-3.3-70B-mlx-4Bit](https://huggingface.co/mlx-community/Dobby-Unhinged-Llama-3.3-70B-mlx-4Bit) was converted to MLX format from [SentientAGI/Dobby-Unhinged-Llama-3.3-70B](https://huggingface.co/SentientAGI/Dobby-Unhinged-Llama-3.3-70B) using mlx-lm version **0.26.4**.

## Use with mlx

```bash
pip install mlx-lm
```

```python
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/Dobby-Unhinged-Llama-3.3-70B-mlx-4Bit")

prompt="hello"

if hasattr(tokenizer, "apply_chat_template") and tokenizer.chat_template is not None:
    messages = [{"role": "user", "content": prompt}]
    prompt = tokenizer.apply_chat_template(
        messages, tokenize=False, add_generation_prompt=True
    )

response = generate(model, tokenizer, prompt=prompt, verbose=True)
```