---
title: DeepSeek-V3.2-mlx-5bit
canonical_url: "https://www.modelscope.cn/models/mlx-community/DeepSeek-V3.2-mlx-5bit"
md_url: "https://www.modelscope.cn/models/mlx-community/DeepSeek-V3.2-mlx-5bit.md"
repository: mlx-community/DeepSeek-V3.2-mlx-5bit
last_updated: 2026-01-06
license: mit
pipeline_tag: text-generation
tasks:
  - text-generation
model_type:
  - deepseek_v32
architectures:
  - DeepseekV32ForCausalLM
base_model:
  - deepseek-ai/DeepSeek-V3.2
base_model_relation: quantized
parameters: 124.7B
tensor_type:
  - BF16
  - U32
  - F32
library_name:
  - mlx
  - safetensors
  - pytorch
frameworks:
  - pytorch
downloads: 450
stars: 0
tags:
  - transformers
  - mlx
---

# DeepSeek-V3.2-mlx-5bit

> DeepSeek-V3.2-mlx-5bit - mlx-community 在 ModelScope 开源的模型。mlx-community/DeepSeek-V3.2-mlx-5bit

mlx-community/DeepSeek-V3.2-mlx-5bit 是 ModelScope 魔搭社区上的 124.7B 参数text-generation模型，采用 mit 许可，基于 deepseek-ai/DeepSeek-V3.2 构建。

- **Repository**: mlx-community/DeepSeek-V3.2-mlx-5bit
- **License**: mit
- **Tasks**: text-generation
- **Parameters**: 124.7B
- **Base model**: deepseek-ai/DeepSeek-V3.2
- **Tags**: transformers, mlx
- **Downloads**: 450
- **Stars**: 0
- **Last updated**: 2026-01-06

Source: https://www.modelscope.cn/models/mlx-community/DeepSeek-V3.2-mlx-5bit

---

# mlx-community/DeepSeek-V3.2-mlx-5bit

This model [mlx-community/DeepSeek-V3.2-mlx-5bit](https://huggingface.co/mlx-community/DeepSeek-V3.2-mlx-5bit) was converted to MLX format from [deepseek-ai/DeepSeek-V3.2](https://huggingface.co/deepseek-ai/DeepSeek-V3.2)
using mlx-lm version **0.30.0**, plus the updates from `mlx-lm` pull request #693.

You can find more similar MLX model quants for a single Apple Mac Studio M3 Ultra with 512 GB at https://huggingface.co/bibproj

Should you wish to use the chat mode, e.g. for translations, instead of the reasoning mode, you have to pass a chat template configuration to the model. For the CLI you can do it like so:   
` --chat-template-config '{"thinking_mode":"chat"}'`

---

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/DeepSeek-V3.2-mlx-5bit")

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)
```