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This PR adds ministral 3



@require_torch
class Ministral3ModelTest(CausalLMModelTest, unittest.TestCase):
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I think this uses the wrong tester class



@require_torch
class Ministral3IntegrationTest(unittest.TestCase):
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integration tests are verified to work on H100

## Usage examples

```py
import torch
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It's verified that this example works

@TheLocalDrummer
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Ministral when?

- System Prompt: Maintains strong adherence and support for system prompts.
- Agentic: Offers best-in-class agentic capabilities with native function calling and JSON outputting.
- Edge-Optimized: Delivers best-in-class performance at a small scale, deployable anywhere.
- Apache 2.0 License: Open-source license allowing usage and modification for both commercial and non-commercial purposes.

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Based.

Comment on lines +32 to +34
[mistralai/Ministral-3-8B-Base-2512](https://huggingface.co/mistralai/Ministral-3-8B-Base-2512)
[mistralai/Ministral-3-8B-Instruct-2512](https://huggingface.co/mistralai/Ministral-3-8B-Instruct-2512)
[mistralai/Ministral-3-8B-Reasoning-2512](https://huggingface.co/mistralai/Ministral-3-8B-Reasoning-2512)

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Based Mistral.

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@juliendenize juliendenize left a comment

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Left some fixes for the code snippets

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Out of interest: if the only difference here is that the attn layer now supports L4-style rope extension, why was a whole new arch made instead of extending the regular Mistral LM arch with L4 rope support?

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Yeah we tried to sneak in Ministral with just a few lines of changes here: #42045 (review)

But transformers design philosophy is to make a new model for this as you can see from comment above 👍

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Transformers maintainers can probs give a better answer to this than me though

@HuggingFaceDocBuilderDev

The docs for this PR live here. All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.

else:
raise ValueError(f"Unknown config type {type(config)}.")

# let's swap nn.Linear to FP8 Linear before loading
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does that make sense?

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@ArthurZucker ArthurZucker left a comment

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Let's goooooo!

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github-actions bot commented Dec 1, 2025

[For maintainers] Suggested jobs to run (before merge)

run-slow: auto, ministral3

@ArthurZucker ArthurZucker merged commit bf3f0ae into huggingface:main Dec 1, 2025
20 of 23 checks passed
sarathc-cerebras pushed a commit to sarathc-cerebras/transformers that referenced this pull request Dec 7, 2025
* Up

* WIP

* WIP

* WIP

* Apply suggestions from code review

Co-authored-by: Julien Denize <[email protected]>

* Update src/transformers/models/ministral3/configuration_ministral3.py

Co-authored-by: Julien Denize <[email protected]>

* fix most tests

* update docsting

* fixup

* typo in the ocnfig

* make the last 3 tests pass

* fix auto

* nits

* WIP

* WIP

* WIP

* per tensor

* WIP

* WIP

* WIP

* style

* fixup

* WIP

* WIP

* WIP

* hack for now

* add todo

* fixup

* WIP

---------

Co-authored-by: Julien Denize <[email protected]>
Co-authored-by: Arthur <[email protected]>
Co-authored-by: medmekk <[email protected]>
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7 participants