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RedHatAI/Ministral-3-14B-Instruct-2512-BF16
Ministral-3-14B-Instruct-2512-BF16 is a machine learning model from RedHatAI. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for vllm. The card lists the license as apache-2.0.
The largest model in the Ministral 3 family, Ministral 3 14B offers frontier capabilities and performance comparable to its larger Mistral Small 3.2 24B counterpart. A powerful and efficient language model with vision…
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From the Hugging Face model README
The largest model in the Ministral 3 family, Ministral 3 14B offers frontier capabilities and performance comparable to its larger Mistral Small 3.2 24B counterpart. A powerful and efficient language model with vision capabilities.
This model is the instruct post-trained version, fine-tuned for instruction tasks, making it ideal for chat and instruction based use cases.
The Ministral 3 family is designed for edge deployment, capable of running on a wide range of hardware. Ministral 3 14B can even be deployed locally, capable of fitting in 32GB of VRAM in BF16, and less than 24GB of RAM/VRAM when quantized.
We provide a no-loss FP8 version here, you can find other formats and quantizations in the Ministral 3 - Additional Checkpoints collection.
Learn more in our blog post and paper.
Ministral 3 14B consists of two main architectural components:
The Ministral 3 14B Instruct model offers the following capabilities:
Private AI deployments where advanced capabilities meet practical hardware constraints:
Bringing advanced AI capabilities to most environments.
| Model Name | Type | Precision | Link |
|---|---|---|---|
| Ministral 3 3B Base 2512 | Base pre-trained | BF16 | Hugging Face |
| Ministral 3 3B Instruct 2512 | Instruct post-trained | BF16 | Hugging Face |
| Ministral 3 3B Reasoning 2512 | Reasoning capable | BF16 | Hugging Face |
| Ministral 3 8B Base 2512 | Base pre-trained | BF16 | Hugging Face |
| Ministral 3 8B Instruct 2512 | Instruct post-trained | BF16 | Hugging Face |
| Ministral 3 8B Reasoning 2512 | Reasoning capable | BF16 | Hugging Face |
| Ministral 3 14B Base 2512 | Base pre-trained | BF16 | Hugging Face |
| Ministral 3 14B Instruct 2512 | Instruct post-trained | BF16 | Hugging Face |
| Ministral 3 14B Reasoning 2512 | Reasoning capable | BF16 | Hugging Face |
Other formats available here.
We compare Ministral 3 to similar sized models.
| Model | AIME25 | AIME24 | GPQA Diamond | LiveCodeBench |
|---|---|---|---|---|
| Ministral 3 14B | <u>0.850</u> | <u>0.898</u> | <u>0.712</u> | <u>0.646</u> |
| Qwen3-14B (Thinking) | 0.737 | 0.837 | 0.663 | 0.593 |
| Ministral 3 8B | 0.787 | <u>0.860</u> | 0.668 | <u>0.616</u> |
| Qwen3-VL-8B-Thinking | <u>0.798</u> | <u>0.860</u> | <u>0.671</u> | 0.580 |
| Ministral 3 3B | <u>0.721</u> | <u>0.775</u> | 0.534 | <u>0.548</u> |
| Qwen3-VL-4B-Thinking | 0.697 | 0.729 | <u>0.601</u> | 0.513 |
| Model | Arena Hard | WildBench | MATH Maj@1 | MM MTBench |
|---|---|---|---|---|
| Ministral 3 14B | <u>0.551</u> | <u>68.5</u> | <u>0.904</u> | <u>8.49</u> |
| Qwen3 14B (Non-Thinking) | 0.427 | 65.1 | 0.870 | NOT MULTIMODAL |
| Gemma3-12B-Instruct | 0.436 | 63.2 | 0.854 | 6.70 |
| Ministral 3 8B | 0.509 | <u>66.8</u> | 0.876 | <u>8.08</u> |
| Qwen3-VL-8B-Instruct | <u>0.528</u> | 66.3 | <u>0.946</u> | 8.00 |
| Ministral 3 3B | 0.305 | <u>56.8</u> | 0.830 | 7.83 |
| Qwen3-VL-4B-Instruct | <u>0.438</u> | <u>56.8</u> | <u>0.900</u> | <u>8.01</u> |
| Qwen3-VL-2B-Instruct | 0.163 | 42.2 | 0.786 | 6.36 |
| Gemma3-4B-Instruct | 0.318 | 49.1 | 0.759 | 5.23 |
| Model | Multilingual MMLU | MATH CoT 2-Shot | AGIEval 5-shot | MMLU Redux 5-shot | MMLU 5-shot | TriviaQA 5-shot |
|---|---|---|---|---|---|---|
| Ministral 3 14B | 0.742 | <u>0.676</u> | 0.648 | 0.820 | 0.794 | 0.749 |
| Qwen3 14B Base | <u>0.754</u> | 0.620 | <u>0.661</u> | <u>0.837</u> | <u>0.804</u> | 0.703 |
| Gemma 3 12B Base | 0.690 | 0.487 | 0.587 | 0.766 | 0.745 | <u>0.788</u> |
| Ministral 3 8B | <u>0.706</u> | <u>0.626</u> | 0.591 | 0.793 | <u>0.761</u> | <u>0.681</u> |
| Qwen 3 8B Base | 0.700 | 0.576 | <u>0.596</u> | <u>0.794</u> | 0.760 | 0.639 |
| Ministral 3 3B | 0.652 | <u>0.601</u> | 0.511 | 0.735 | 0.707 | 0.592 |
| Qwen 3 4B Base | <u>0.677</u> | 0.405 | <u>0.570</u> | <u>0.759</u> | <u>0.713</u> | 0.530 |
| Gemma 3 4B Base | 0.516 | 0.294 | 0.430 | 0.626 | 0.589 | <u>0.640</u> |
This model is licensed under the Apache 2.0 License.
You must not use this model in a manner that infringes, misappropriates, or otherwise violates any third party’s rights, including intellectual property rights.