---
title: Qwen3-30B-A3B-Thinking-2507-Deepseek-v3.1-Distill-FP32-bf16-mlx
canonical_url: "https://www.modelscope.cn/models/nightmedia/Qwen3-30B-A3B-Thinking-2507-Deepseek-v3.1-Distill-FP32-bf16-mlx"
md_url: "https://www.modelscope.cn/models/nightmedia/Qwen3-30B-A3B-Thinking-2507-Deepseek-v3.1-Distill-FP32-bf16-mlx.md"
repository: nightmedia/Qwen3-30B-A3B-Thinking-2507-Deepseek-v3.1-Distill-FP32-bf16-mlx
last_updated: 2025-08-29
pipeline_tag: text-generation
tasks:
  - text-generation
model_type:
  - qwen3_moe
architectures:
  - Qwen3MoeForCausalLM
base_model:
  - BasedBase/Qwen3-30B-A3B-Thinking-2507-Deepseek-v3.1-Distill-FP32
base_model_relation: finetune
parameters: 30.5B
tensor_type:
  - BF16
library_name:
  - mlx
  - safetensors
  - pytorch
frameworks:
  - pytorch
inference_backends:
  - "deploy_task text/emb"
  - "lmdeploy_turbomind 0.9.1"
  - "sglang 0.5.2"
  - "vllm 0.9.2"
downloads: 208
stars: 0
tags:
  - mlx
---

# Qwen3-30B-A3B-Thinking-2507-Deepseek-v3.1-Distill-FP32-bf16-mlx

> Qwen3-30B-A3B-Thinking-2507-Deepseek-v3.1-Distill-FP32-bf16-mlx - nightmedia 在 ModelScope 开源的模型。Qwen3-30B-A3B-Thinking-2507-Deepseek-v3.1-Distill-FP32-bf16-mlx

nightmedia/Qwen3-30B-A3B-Thinking-2507-Deepseek-v3.1-Distill-FP32-bf16-mlx 是 ModelScope 魔搭社区上的 30.5B 参数text-generation模型，基于 BasedBase/Qwen3-30B-A3B-Thinking-2507-Deepseek-v3.1-Distill-FP32 构建，可用 deploy_task text/emb、lmdeploy_turbomind 0.9.1、sglang 0.5.2 部署。

- **Repository**: nightmedia/Qwen3-30B-A3B-Thinking-2507-Deepseek-v3.1-Distill-FP32-bf16-mlx
- **Tasks**: text-generation
- **Parameters**: 30.5B
- **Base model**: BasedBase/Qwen3-30B-A3B-Thinking-2507-Deepseek-v3.1-Distill-FP32
- **Inference backends**: deploy_task text/emb, lmdeploy_turbomind 0.9.1, sglang 0.5.2, vllm 0.9.2
- **Tags**: mlx
- **Downloads**: 208
- **Stars**: 0
- **Last updated**: 2025-08-29

Source: https://www.modelscope.cn/models/nightmedia/Qwen3-30B-A3B-Thinking-2507-Deepseek-v3.1-Distill-FP32-bf16-mlx

---

# Qwen3-30B-A3B-Thinking-2507-Deepseek-v3.1-Distill-FP32-bf16-mlx

This model [Qwen3-30B-A3B-Thinking-2507-Deepseek-v3.1-Distill-FP32-bf16-mlx](https://huggingface.co/Qwen3-30B-A3B-Thinking-2507-Deepseek-v3.1-Distill-FP32-bf16-mlx) was
converted to MLX format from [BasedBase/Qwen3-30B-A3B-Thinking-2507-Deepseek-v3.1-Distill-FP32](https://huggingface.co/BasedBase/Qwen3-30B-A3B-Thinking-2507-Deepseek-v3.1-Distill-FP32)
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("Qwen3-30B-A3B-Thinking-2507-Deepseek-v3.1-Distill-FP32-bf16-mlx")

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)
```