---
language:
- en
license: llama3.1
library_name: mlx
tags:
- Llama-3.1
- Instruct
- loyal AI
- fingerprint
- finetune
- chat
- gpt4
- synthetic data
- roleplaying
- unhinged
- funny
- opinionated
- assistant
- companion
- friend
- mlx
base_model: SentientAGI/Dobby-Mini-Unhinged-Plus-Llama-3.1-8B
pipeline_tag: text-generation
---

# mlx-community/Dobby-Mini-Unhinged-Plus-Llama-3.1-8B-bf16

This model [mlx-community/Dobby-Mini-Unhinged-Plus-Llama-3.1-8B-bf16](https://huggingface.co/mlx-community/Dobby-Mini-Unhinged-Plus-Llama-3.1-8B-bf16) was
converted to MLX format from [SentientAGI/Dobby-Mini-Unhinged-Plus-Llama-3.1-8B](https://huggingface.co/SentientAGI/Dobby-Mini-Unhinged-Plus-Llama-3.1-8B)
using mlx-lm version **0.25.2**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/Dobby-Mini-Unhinged-Plus-Llama-3.1-8B-bf16")

prompt = "hello"

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

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