---
title: Qwen3-Coder-REAP-25B-A3B-mlx-8Bit
canonical_url: "https://www.modelscope.cn/models/mlx-community/Qwen3-Coder-REAP-25B-A3B-mlx-8Bit"
md_url: "https://www.modelscope.cn/models/mlx-community/Qwen3-Coder-REAP-25B-A3B-mlx-8Bit.md"
repository: mlx-community/Qwen3-Coder-REAP-25B-A3B-mlx-8Bit
last_updated: 2025-11-06
license: apache-2.0
pipeline_tag: text-generation
tasks:
  - text-generation
model_type:
  - qwen3_moe
architectures:
  - Qwen3MoeForCausalLM
base_model:
  - cerebras/Qwen3-Coder-REAP-25B-A3B
base_model_relation: quantized
parameters: 1.3B
tensor_type:
  - U32
  - BF16
library_name:
  - mlx
  - safetensors
  - pytorch
frameworks:
  - pytorch
language:
  - en
inference_backends:
  - "deploy_task text/emb"
  - "lmdeploy_turbomind 0.9.1"
  - "sglang 0.5.2"
  - "vllm 0.9.2"
downloads: 61
stars: 0
tags:
  - qwen-coder
  - MOE
  - pruning
  - compression
  - mlx
  - mlx-my-repo
---

# Qwen3-Coder-REAP-25B-A3B-mlx-8Bit

> Qwen3-Coder-REAP-25B-A3B-mlx-8Bit - mlx-community 在 ModelScope 开源的模型。mlx-community/Qwen3-Coder-REAP-25B-A3B-mlx-8Bit

mlx-community/Qwen3-Coder-REAP-25B-A3B-mlx-8Bit 是 ModelScope 魔搭社区上的 1.3B 参数text-generation模型，采用 apache-2.0 许可，基于 cerebras/Qwen3-Coder-REAP-25B-A3B 构建，可用 deploy_task text/emb、lmdeploy_turbomind 0.9.1、sglang 0.5.2 部署。

- **Repository**: mlx-community/Qwen3-Coder-REAP-25B-A3B-mlx-8Bit
- **License**: apache-2.0
- **Tasks**: text-generation
- **Parameters**: 1.3B
- **Base model**: cerebras/Qwen3-Coder-REAP-25B-A3B
- **Inference backends**: deploy_task text/emb, lmdeploy_turbomind 0.9.1, sglang 0.5.2, vllm 0.9.2
- **Tags**: qwen-coder, MOE, pruning, compression, mlx, mlx-my-repo
- **Downloads**: 61
- **Stars**: 0
- **Last updated**: 2025-11-06

Source: https://www.modelscope.cn/models/mlx-community/Qwen3-Coder-REAP-25B-A3B-mlx-8Bit

---

# mlx-community/Qwen3-Coder-REAP-25B-A3B-mlx-8Bit

The Model [mlx-community/Qwen3-Coder-REAP-25B-A3B-mlx-8Bit](https://huggingface.co/mlx-community/Qwen3-Coder-REAP-25B-A3B-mlx-8Bit) was converted to MLX format from [cerebras/Qwen3-Coder-REAP-25B-A3B](https://huggingface.co/cerebras/Qwen3-Coder-REAP-25B-A3B) using mlx-lm version **0.26.4**.

## Use with mlx

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

```python
from mlx_lm import load, generate

model, tokenizer = load("mlx-community/Qwen3-Coder-REAP-25B-A3B-mlx-8Bit")

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)
```