---
title: Qwopus3.6-27B-Coder-8bit
canonical_url: "https://www.modelscope.cn/models/mlx-community/Qwopus3.6-27B-Coder-8bit"
md_url: "https://www.modelscope.cn/models/mlx-community/Qwopus3.6-27B-Coder-8bit.md"
repository: mlx-community/Qwopus3.6-27B-Coder-8bit
last_updated: 2026-07-01
license: apache-2.0
pipeline_tag: image-text-to-text
tasks:
  - image-text-to-text
model_type:
  - qwen3_5
architectures:
  - Qwen3_5ForConditionalGeneration
base_model:
  - Jackrong/Qwopus3.6-27B-Coder
base_model_relation: quantized
parameters: 8.0B
tensor_type:
  - U32
  - BF16
library_name:
  - mlx
  - safetensors
  - pytorch
frameworks:
  - Pytorch
language:
  - en
  - zh
  - es
  - ru
  - ja
downloads: 38
stars: 1
tags:
  - mlx
  - qwen3_6
  - qwen3_5_moe
  - moe
  - coder
  - agent
  - tool-use
  - function-calling
  - image-text-to-text
  - long-context
  - vision
  - video
  - multimodal
  - 8bit
---

# Qwopus3.6-27B-Coder-8bit

> Qwopus3.6-27B-Coder-8bit - mlx-community 在 ModelScope 开源的模型。mlx-community/Qwopus3.6-27B-Coder-8bit

mlx-community/Qwopus3.6-27B-Coder-8bit 是 ModelScope 魔搭社区上的 8.0B 参数image-text-to-text模型，采用 apache-2.0 许可，基于 Jackrong/Qwopus3.6-27B-Coder 构建。

- **Repository**: mlx-community/Qwopus3.6-27B-Coder-8bit
- **License**: apache-2.0
- **Tasks**: image-text-to-text
- **Parameters**: 8.0B
- **Base model**: Jackrong/Qwopus3.6-27B-Coder
- **Tags**: mlx, qwen3_6, qwen3_5_moe, moe, coder, agent, tool-use, function-calling, image-text-to-text, long-context, vision, video, multimodal, 8bit
- **Downloads**: 38
- **Stars**: 1
- **Last updated**: 2026-07-01

Source: https://www.modelscope.cn/models/mlx-community/Qwopus3.6-27B-Coder-8bit

---

# mlx-community/Qwopus3.6-27B-Coder-8bit

This model [mlx-community/Qwopus3.6-27B-Coder-8bit](https://huggingface.co/mlx-community/Qwopus3.6-27B-Coder-8bit) was converted
to MLX format from [`Jackrong/Qwopus3.6-27B-Coder`](https://huggingface.co/Jackrong/Qwopus3.6-27B-Coder)
using mlx-vlm version **0.4.4**.

This is a 8bit MLX quantized conversion. It keeps the source model's chat template and
multimodal processor configuration for text/coding, image, and video-style
inputs. The language model weights were quantized with MLX 8-bit affine quantization; the multimodal vision components are preserved for image/video inputs.

Refer to the [original model card](https://huggingface.co/Jackrong/Qwopus3.6-27B-Coder) for
model details, license, and intended use.

## Use with mlx

```bash
pip install -U mlx-vlm
```

### Image input

```bash
python -m mlx_vlm.generate \
  --model mlx-community/Qwopus3.6-27B-Coder-8bit \
  --max-tokens 512 \
  --temperature 0.0 \
  --prompt "Describe this image." \
  --image <path_to_image>
```

### Text / coding input

```bash
python -m mlx_vlm.generate \
  --model mlx-community/Qwopus3.6-27B-Coder-8bit \
  --max-tokens 512 \
  --temperature 0.2 \
  --prompt "Write a Python function that parses a JSONL file and counts records by label."
```

## Notes

- This is a 8bit MLX quantized version of `Jackrong/Qwopus3.6-27B-Coder`.
- The model is intended for Apple Silicon inference with MLX.
- For multimodal usage, prefer `mlx-vlm` rather than plain `mlx-lm`.
- License: Apache 2.0, inherited from the source model metadata.

## Conversion

```bash
mlx_vlm.convert \
  --hf-path Jackrong/Qwopus3.6-27B-Coder \
  --mlx-path Qwopus3.6-27B-Coder-8bit \
  --quantize \
  --q-bits 8 \
  --q-group-size 64 \
  --q-mode affine
```