File size: 1,380 Bytes
55b0f5d
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
2adcbec
 
 
 
55b0f5d
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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
36
37
38
39
40
41
42
43
44
45
---
license: other
license_name: iquestcoder
license_link: https://huggingface.co/IQuestLab/IQuest-Coder-V1-40B-Instruct/blob/main/LICENSE
language:
- en
library_name: mlx
pipeline_tag: text-generation
base_model: IQuestLab/IQuest-Coder-V1-40B-Loop-Instruct
tags:
- mlx
---

# mlx-community/IQuest-Coder-V1-40B-Loop-Instruct-4bit

This model [mlx-community/IQuest-Coder-V1-40B-Loop-Instruct-4bit](https://huggingface.co/mlx-community/IQuest-Coder-V1-40B-Loop-Instruct-4bit) was
converted to MLX format from [IQuestLab/IQuest-Coder-V1-40B-Loop-Instruct](https://huggingface.co/IQuestLab/IQuest-Coder-V1-40B-Loop-Instruct)
using mlx-lm version **0.30.0**.

## Warning

This model is not yet officially supported by MLX-LM, but you can track its progress [here](https://github.com/ml-explore/mlx-lm/pull/716) or use [this branch](https://github.com/kernelpool/mlx-lm/tree/feature/iquestloopcoder) to test it.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/IQuest-Coder-V1-40B-Loop-Instruct-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, return_dict=False,
    )

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