--- library_name: mlx license: apache-2.0 pipeline_tag: image-text-to-text tags: - mlx - qwen3_6 - qwen3_5_moe - moe - coder - agent - tool-use - function-calling - image-text-to-text - long-context - vision - video - multimodal - 4bit language: - en - zh - es - ru - ja base_model: Jackrong/Qwopus3.6-27B-Coder --- # mlx-community/Qwopus3.6-27B-Coder-4bit This model [mlx-community/Qwopus3.6-27B-Coder-4bit](https://huggingface.co/mlx-community/Qwopus3.6-27B-Coder-4bit) 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 4bit 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 4-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-4bit \ --max-tokens 512 \ --temperature 0.0 \ --prompt "Describe this image." \ --image ``` ### Text / coding input ```bash python -m mlx_vlm.generate \ --model mlx-community/Qwopus3.6-27B-Coder-4bit \ --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 4bit 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-4bit \ --quantize \ --q-bits 4 \ --q-group-size 64 \ --q-mode affine ```