Image-Text-to-Text
MLX
Safetensors
mistral3
mistral-common
ministral
ministral-3
vision-language
multimodal
quantized
edge
6-bit
base-model
Instructions to use mlx-community/Ministral-3-8B-Base-2512-6bit with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use mlx-community/Ministral-3-8B-Base-2512-6bit with MLX:
# Make sure mlx-vlm is installed # pip install --upgrade mlx-vlm from mlx_vlm import load, generate from mlx_vlm.prompt_utils import apply_chat_template from mlx_vlm.utils import load_config # Load the model model, processor = load("mlx-community/Ministral-3-8B-Base-2512-6bit") config = load_config("mlx-community/Ministral-3-8B-Base-2512-6bit") # Prepare input image = ["http://images.cocodataset.org/val2017/000000039769.jpg"] prompt = "Describe this image." # Apply chat template formatted_prompt = apply_chat_template( processor, config, prompt, num_images=1 ) # Generate output output = generate(model, processor, formatted_prompt, image) print(output) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
| library_name: mlx | |
| language: | |
| - en | |
| - fr | |
| - es | |
| - de | |
| - it | |
| - pt | |
| - nl | |
| - zh | |
| - ja | |
| - ko | |
| - ar | |
| license: apache-2.0 | |
| inference: false | |
| extra_gated_description: If you want to learn more about how we process your personal | |
| data, please read our <a href="https://mistral.ai/terms/">Privacy Policy</a>. | |
| tags: | |
| - mistral-common | |
| - mlx | |
| - ministral | |
| - ministral-3 | |
| - vision-language | |
| - multimodal | |
| - quantized | |
| - edge | |
| - 6-bit | |
| - base-model | |
| pipeline_tag: image-text-to-text | |
| base_model: mistralai/Ministral-3-8B-Base-2512 | |
| # mlx-community/Ministral-3-8B-Base-2512-6bit | |
| This is, **Ministral 3 8B Base 2512** is a vision-language model: a text backbone paired | |
| with a vision encoder, supporting image understanding alongside text. This is | |
| the **base pre-trained** checkpoint — not instruction- or chat-tuned. For | |
| chat/instruction-following use cases, use the | |
| [Instruct variant](https://huggingface.co/mlx-community/Ministral-3-8B-Instruct-2512-6bit) | |
| instead; this base checkpoint is intended for custom post-training/fine-tuning. | |
| > **Community note.** Structural check confirms the vision tower and | |
| > multimodal projector were carried over intact (not dropped, which is a real | |
| > failure mode for text-only conversion tools on vision-language models). | |
| > Functional check confirms both text-only and image+text generation produce | |
| > coherent output. Converted and verified by a single maintainer running | |
| > local MLX tooling -- not independently reviewed by anyone else; please open | |
| > a discussion if you hit anything unexpected. | |
| This is an MLX conversion of [`mistralai/Ministral-3-8B-Base-2512`](https://huggingface.co/mistralai/Ministral-3-8B-Base-2512), | |
| converted with [mlx-vlm](https://github.com/Blaizzy/mlx-vlm). Refer to the | |
| [original model card](https://huggingface.co/mistralai/Ministral-3-8B-Base-2512) for the full | |
| description, capabilities, and license terms. | |
| ## Heads up | |
| - **Base model, not instruct-tuned** — expect raw completion behavior, not | |
| chat-following. Don't expect it to follow instructions well. | |
| - **Vision retained at full precision** — only the language backbone is | |
| quantized; the vision tower and multimodal projector are untouched bf16, | |
| per mlx-vlm's standard policy of not quantizing multimodal modules. | |
| - **Output size on disk: 8.43GB** | |
| ## Provenance | |
| - Source: [`mistralai/Ministral-3-8B-Base-2512`](https://huggingface.co/mistralai/Ministral-3-8B-Base-2512) (BF16) | |
| - Language model layers: **6-bit** affine quantization, group_size=64 | |
| - Vision tower + multimodal projector: kept at full precision (not quantized) | |
| - Blended average: **7.529 bits per weight** across all parameters | |
| ## Ministral 3 family | |
| | Model | Type | mlx-community (4-bit) | | |
| |---|---|---| | |
| | Ministral 3 3B Base 2512 | Base pre-trained | [mlx-community/Ministral-3-3B-Base-2512-4bit](https://huggingface.co/mlx-community/Ministral-3-3B-Base-2512-4bit) | | |
| | Ministral 3 3B Instruct 2512 | Instruct post-trained | [mlx-community/Ministral-3-3B-Instruct-2512-4bit](https://huggingface.co/mlx-community/Ministral-3-3B-Instruct-2512-4bit) | | |
| | Ministral 3 3B Reasoning 2512 | Reasoning capable | [mlx-community/Ministral-3-3B-Reasoning-2512-4bit](https://huggingface.co/mlx-community/Ministral-3-3B-Reasoning-2512-4bit) | | |
| | Ministral 3 8B Base 2512 | Base pre-trained | [mlx-community/Ministral-3-8B-Base-2512-4bit](https://huggingface.co/mlx-community/Ministral-3-8B-Base-2512-4bit) | | |
| | Ministral 3 8B Instruct 2512 | Instruct post-trained | [mlx-community/Ministral-3-8B-Instruct-2512-4bit](https://huggingface.co/mlx-community/Ministral-3-8B-Instruct-2512-4bit) | | |
| | Ministral 3 8B Reasoning 2512 | Reasoning capable | [mlx-community/Ministral-3-8B-Reasoning-2512-4bit](https://huggingface.co/mlx-community/Ministral-3-8B-Reasoning-2512-4bit) | | |
| | Ministral 3 14B Base 2512 | Base pre-trained | [mlx-community/Ministral-3-14B-Base-2512-4bit](https://huggingface.co/mlx-community/Ministral-3-14B-Base-2512-4bit) | | |
| | Ministral 3 14B Instruct 2512 | Instruct post-trained | [mlx-community/Ministral-3-14B-Instruct-2512-4bit](https://huggingface.co/mlx-community/Ministral-3-14B-Instruct-2512-4bit) | | |
| | Ministral 3 14B Reasoning 2512 | Reasoning capable | [mlx-community/Ministral-3-14B-Reasoning-2512-4bit](https://huggingface.co/mlx-community/Ministral-3-14B-Reasoning-2512-4bit) | | |
| ## Use with mlx | |
| ```bash | |
| pip install -U mlx-vlm | |
| ``` | |
| ```bash | |
| python -m mlx_vlm.generate --model mlx-community/Ministral-3-8B-Base-2512-6bit --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image> | |
| ``` | |
| For text-only prompts, omit `--image`. | |
| ## License | |
| Apache 2.0 — see the [original model card](https://huggingface.co/mistralai/Ministral-3-8B-Base-2512) for | |
| the full license text and any usage terms. | |