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-4bit | |
This model [mlx-community/Dobby-Mini-Unhinged-Plus-Llama-3.1-8B-4bit](https://huggingface.co/mlx-community/Dobby-Mini-Unhinged-Plus-Llama-3.1-8B-4bit) 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-4bit") | |
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) | |
``` | |