MLX
Safetensors
llama
8-bit precision
File size: 935 Bytes
4a800b4
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
---
base_model: jondurbin/airoboros-33b-gpt4-1.4
datasets:
- jondurbin/airoboros-gpt4-1.4
license: cc-by-nc-4.0
tags:
- mlx
---

# mlx-community/airoboros-33b-gpt4-1.4

The Model [mlx-community/airoboros-33b-gpt4-1.4](https://huggingface.co/mlx-community/airoboros-33b-gpt4-1.4) was converted to MLX format from [jondurbin/airoboros-33b-gpt4-1.4](https://huggingface.co/jondurbin/airoboros-33b-gpt4-1.4) using mlx-lm version **0.19.0**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/airoboros-33b-gpt4-1.4")

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)
```