---
title: IQuest-Coder-V1-7B-Base-4bit
canonical_url: "https://www.modelscope.cn/models/mlx-community/IQuest-Coder-V1-7B-Base-4bit"
md_url: "https://www.modelscope.cn/models/mlx-community/IQuest-Coder-V1-7B-Base-4bit.md"
repository: mlx-community/IQuest-Coder-V1-7B-Base-4bit
last_updated: 2026-03-15
license: other
model_type:
  - iquestcoder
architectures:
  - IQuestCoderForCausalLM
parameters: 7.6B
tensor_type:
  - BF16
library_name:
  - safetensors
  - pytorch
frameworks:
  - pytorch
language:
  - en
downloads: 12
stars: 0
---

# IQuest-Coder-V1-7B-Base-4bit

> IQuest-Coder-V1-7B-Base-4bit - mlx-community 在 ModelScope 开源的模型。mlx-community/IQuest-Coder-V1-7B-Base-4bit

mlx-community/IQuest-Coder-V1-7B-Base-4bit 是 ModelScope 魔搭社区上的 7.6B 参数机器学习模型，采用 other 许可。

- **Repository**: mlx-community/IQuest-Coder-V1-7B-Base-4bit
- **License**: other
- **Parameters**: 7.6B
- **Downloads**: 12
- **Stars**: 0
- **Last updated**: 2026-03-15

Source: https://www.modelscope.cn/models/mlx-community/IQuest-Coder-V1-7B-Base-4bit

---

# mlx-community/IQuest-Coder-V1-7B-Base-4bit

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/IQuest-Coder-V1-7B-Base-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)
```