alt.freeweights.mistral / Ministral-3-14B-Instruct-2512-BF16
From: mistralai <huggingface.co/mistralai>Newsgroups: alt.freeweights.mistralSubject:

Ministral-3-14B-Instruct-2512-BF16

Date: 2026-11-14Commit: 3cea74cSigned: 2DC28CC7B26A283B ✓

Model with 13.9B parameters. Safetensors weights, 55.8 GB in all. Published by mistralai under Apache-2.0.

13.9B params55.8GBMinistral-3-14B-Instruct-2512-BF16safetensorspermissive
FactsParams13.9BSize55.8 GBFormatssafetensorsTasknot taggedLicenseApache-2.0From sourcepermissive
$ fw get mistralai/Ministral-3-14B-Instruct-2512-BF16
# manifest sha256 441afcac4301… · 55.8 GB · 20 files
$ fw verify ./Ministral-3-14B-Instruct-2512-BF16 mistralai/Ministral-3-14B-Instruct-2512-BF16
From sourceHosted (signed)mistralai/Ministral-3-14B-Instruct-2512-BF16Last check: 2026-11-14 21:24 UTC

Get help: custom fine-tune or private deploy. We review your setup before we quote.

Fine-tune of Ministral-3-14B-Base-2512.

Works with

Runs with

Ranked by fit to this model (safetensors), then by GitHub stars.

Overview

Size
55.8 GB
Weights
27.9 GB (safetensors)
Parameters
13.9B
Formats
safetensors
Task
not tagged
License
Apache-2.0 (permissive)
Files
20, each with a sha256
Publisher
mistralai
Added
2026-11-14
Section
alt.freeweights.mistral
Lineage

Original release from the publisher.

Base model: mistralai/Ministral-3-14B-Base-2512

Where these bytes come from
Publisher at the pinned commit→You

Sources are tried in order. A file counts only when its size and sha256 match the manifest. Sources are checked when you ask for them, not on a timer.

Sources
BadgeHostLast checkResult
From sourcehuggingface.co2026-11-14 21:24 UTCpassed

Model card

From the publisher at commit 3cea74c. Shown as plain text with links; images open at the publisher.

Ministral 3 14B Instruct 2512 BF16#

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.

Key Features#

Ministral 3 14B consists of two main architectural components:

  • 13.5B Language Model
  • 0.4B Vision Encoder

The Ministral 3 14B Instruct model offers the following capabilities:

  • Vision: Enables the model to analyze images and provide insights based on visual content, in addition to text.
  • Multilingual: Supports dozens of languages, including English, French, Spanish, German, Italian, Portuguese, Dutch, Chinese, Japanese, Korean, Arabic.
  • 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.
  • Large Context Window: Supports a 256k context window.
Use Cases#

Private AI deployments where advanced capabilities meet practical hardware constraints:

  • Private/custom chat and AI assistant deployments in constrained environments
  • Advanced local agentic use cases
  • Fine-tuning and specialization
  • And more...

Bringing advanced AI capabilities to most environments.

Ministral 3 Family#

Model NameTypePrecisionLink
Ministral 3 3B Base 2512Base pre-trainedBF16Hugging Face
Ministral 3 3B Instruct 2512Instruct post-trainedBF16Hugging Face
Ministral 3 3B Reasoning 2512Reasoning capableBF16Hugging Face
Ministral 3 8B Base 2512Base pre-trainedBF16Hugging Face
Ministral 3 8B Instruct 2512Instruct post-trainedBF16Hugging Face
Ministral 3 8B Reasoning 2512Reasoning capableBF16Hugging Face
Ministral 3 14B Base 2512Base pre-trainedBF16Hugging Face
Ministral 3 14B Instruct 2512Instruct post-trainedBF16Hugging Face
Ministral 3 14B Reasoning 2512Reasoning capableBF16Hugging Face

Other formats available here.

Benchmark Results#

We compare Ministral 3 to similar sized models.

Reasoning#
ModelAIME25AIME24GPQA DiamondLiveCodeBench
Ministral 3 14B0.8500.8980.7120.646
Qwen3-14B (Thinking)0.7370.8370.6630.593
Ministral 3 8B0.7870.8600.6680.616
Qwen3-VL-8B-Thinking0.7980.8600.6710.580
Ministral 3 3B0.7210.7750.5340.548
Qwen3-VL-4B-Thinking0.6970.7290.6010.513
Instruct#
ModelArena HardWildBenchMATH Maj@1MM MTBench
Ministral 3 14B0.55168.50.9048.49
Qwen3 14B (Non-Thinking)0.42765.10.870NOT MULTIMODAL
Gemma3-12B-Instruct0.43663.20.8546.70
Ministral 3 8B0.50966.80.8768.08
Qwen3-VL-8B-Instruct0.52866.30.9468.00
Ministral 3 3B0.30556.80.8307.83
Qwen3-VL-4B-Instruct0.43856.80.9008.01
Qwen3-VL-2B-Instruct0.16342.20.7866.36
Gemma3-4B-Instruct0.31849.10.7595.23
Base#
ModelMultilingual MMLUMATH CoT 2-ShotAGIEval 5-shotMMLU Redux 5-shotMMLU 5-shotTriviaQA 5-shot
Ministral 3 14B0.7420.6760.6480.8200.7940.749
Qwen3 14B Base0.7540.6200.6610.8370.8040.703
Gemma 3 12B Base0.6900.4870.5870.7660.7450.788
Ministral 3 8B0.7060.6260.5910.7930.7610.681
Qwen 3 8B Base0.7000.5760.5960.7940.7600.639
Ministral 3 3B0.6520.6010.5110.7350.7070.592
Qwen 3 4B Base0.6770.4050.5700.7590.7130.530
Gemma 3 4B Base0.5160.2940.4300.6260.5890.640

License#

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.

Files

20 files · 55.8 GBWeights 27.9 GB (safetensors). Sizes and sha256 from the signed manifest.
Hide all 20 files with their sha256
FileSizesha256
.gitattributes1.62 KB07b3b4b04ce1da1f27be4f1ff90006c9b8ace80cc0eb81bdd182a11257f4498c
README.md8.70 KBa4235e65f9fdf1089c05bf3affee586ff4a2f2ff0391c85c34d3cbabeeb72ed4
SYSTEM_PROMPT.txt2.41 KBdf30b6d8d0124f1f905c030be0c820a4720d7361d7c3b18d6542e58a5c0c0446
chat_template.jinja11.9 KB2f545122222db8bb43ca0ea0c49e9185320a8670f7d35575b0da0eb48b1e8970
config.json1.55 KBb1897778395bb1795489a048ebde2e6d216eee21014ce9c18193d15f097454a6
consolidated.safetensors27.9 GB52c3772c85a9fdd26ac51a2f42aae24316f7fc797a2e95fa5e45837876897b01
generation_config.json131 Be0923390059f84a9180b00e5501778acc45ea9856cd7f2fd68208b360927c677
model-00001-of-00006.safetensors4.93 GBa381935aa826a6960e752ab889f51b26870fa4ae34580dc5d33bba3b616a1e3b
model-00002-of-00006.safetensors4.87 GBf71f44e7d6408e2933ecf1fe007be40993c1ce2f5a6dec4a73ac85d8d6d4de0b
model-00003-of-00006.safetensors4.87 GB4d680c111fee9689b2c170ef058ead26887b88816f05b7701363754e23caa771
model-00004-of-00006.safetensors4.87 GBe7d394bc2e748439194f5ccbea3900e31987f5e740cfdef24c94a3ada1097290
model-00005-of-00006.safetensors4.87 GB727054c31319d016cce95822b67d0dfee7b67793f59c9d1fd171931692bee12c
model-00006-of-00006.safetensors3.50 GB56eb280079466b136fd33638f1b3095cfa9fdb84006a23b36c8944dc7156fdb7
model.safetensors.index.json57.9 KB50d07948f11d89b5eddc5fb21485484555376c0627a9537b37f3f17cc9f5a103
params.json1.10 KBb2fc120fee26653d0aa07052122793f86750db9c12b6e11bcf7dfb36440da077
processor_config.json976 Bece2373c2ae391bce18785a1810543bc6173a1f28b6767cffab2c35dbea5f002
special_tokens_map.json147 KB0a5c981e8c5c6f8886ee007a6d4543a0be6b221cb9ca32a8709384a4c6fc8cbb
tekken.json16.8 MB600bb27946565481ecf51ba8aee252e49b9a68507866080ac9c30185bb312843
tokenizer.json17.1 MBd5f6046775b112f0e2d456ee9dba450684ab964fe5c4e231599bdc6773028135
tokenizer_config.json198 KBf59f7294e4f26383d0ea93840fe21cf197784be0842a8301a0343e8c34ed0d6d
VersionsEach time the pinned upstream commit or file list changed in this repo. Newest first.
Upstream commitDateContents
3cea74c1eb pinned now manifest updated, same commit2026-11-14 21:24 UTC20 files · 55.8 GB
3cea74c1eb2026-11-14 21:24 UTC20 files · 55.8 GB

Use it

$ fw get mistralai/Ministral-3-14B-Instruct-2512-BF16
# manifest sha256 441afcac4301… · 55.8 GB · 20 files
$ fw verify ./Ministral-3-14B-Instruct-2512-BF16 mistralai/Ministral-3-14B-Instruct-2512-BF16
fw.pyChecks the signature and every sha256, tries each source in order, resumes.
$ python3 fw.py get https://freeweights.allternit.com/manifests/mistralai/Ministral-3-14B-Instruct-2512-BF16.json --dir ./Ministral-3-14B-Instruct-2512-BF16 $ python3 fw.py verify ./Ministral-3-14B-Instruct-2512-BF16 ./mistralai__Ministral-3-14B-Instruct-2512-BF16.json
hfThe Hugging Face CLI with one setting. Same repo id.
$ HF_ENDPOINT=https://freeweights.allternit.com hf download mistralai/Ministral-3-14B-Instruct-2512-BF16 --revision 3cea74c1ebaf5ce5f5a2553de470e2ceab825142 --local-dir ./Ministral-3-14B-Instruct-2512-BF16

License

Name
Apache License 2.0
Id
Apache-2.0
Class
Permissive
Redistribution
yes
Listing
Hosted (signed)
Decided
License as declared by the publisher. No person read it. 2026-11-14
Text in
README.md
Text sha256
a4235e65f9fdf1089c05bf3affee586ff4a2f2ff0391c85c34d3cbabeeb72ed4
Terms gate
No extra terms beyond the license.

Read the license text

Licenses are checked against the license table. A custom license passes only after a person reads it.

Provenance

From: mistralai <huggingface.co/mistralai>Newsgroups: alt.freeweights.mistralSubject: Ministral-3-14B-Instruct-2512-BF16Date: 2026-11-14Commit: 3cea74cSigned: 2DC28CC7B26A283B ✓
Upstream
mistralai/Ministral-3-14B-Instruct-2512-BF16
Pinned commit
3cea74c1ebaf5ce5f5a2553de470e2ceab825142
Manifest
Ministral-3-14B-Instruct-2512-BF16.json · .minisig
Manifest sha256
441afcac430195db98d45936d553eb5754d604da906f4762259491562e91d81a
Signature
minisign, Ed25519, key 2DC28CC7B26A283B
Created
2026-11-14 21:24 UTC
Generator
freeweights-manifest/0.1.0
Takedowns
None.

How to verify

$ curl -O https://freeweights.allternit.com/manifests/mistralai/Ministral-3-14B-Instruct-2512-BF16.json $ curl -O https://freeweights.allternit.com/manifests/mistralai/Ministral-3-14B-Instruct-2512-BF16.json.minisig $ minisign -Vm Ministral-3-14B-Instruct-2512-BF16.json -P RWQ7KGqyx4zCLXtUFOqvfv8L3g+8fpKJ1FsuxPyOYMF+4KufbUxKq1Oq $ shasum -a 256 <file> # compare with the Files tab

A manifest whose signature fails must be rejected. A file whose size or sha256 does not match must be discarded. Verify a download

Model tree

Parent

mistralai/Ministral-3-14B-Base-2512 · this model is a finetune of it

3 models in the catalog name this one as their parent.

Quantizations
3
Get it
Download
$ HF_ENDPOINT=https://freeweights.allternit.com hf download mistralai/Ministral-3-14B-Instruct-2512-BF16
Open in Freeweights Studio

Pull, verify and run it in the Allternit app on Desktop, web or phone.

Signed manifest
minisign, key 2DC28CC7B26A283B. Ministral-3-14B-Instruct-2512-BF16.json. Provenance. Takedown history: none.

Variants

3 quantized or adapter builds of Ministral-3-14B-Instruct-2512-BF16. Each has its own license check and page.

From: bartowski <huggingface.co/bartowski>Subject: alamios_Mistral-Small-3.1-DRAFT-0.5B-GGUF
From: microsoft <huggingface.co/microsoft>Subject: chatbench-mistral-7b
From: NousResearch <huggingface.co/NousResearch>Subject: DeepHermes-3-Mistral-24B-Preview
From: mistralai <huggingface.co/mistralai>Subject: Devstral-Small-2-24B-Instruct-2512
From: mlx-community <huggingface.co/mlx-community>Subject: Devstral-Small-2-24B-Instruct-2512-4bit
From: mlx-community <huggingface.co/mlx-community>Subject: Devstral-Small-2-24B-Instruct-2512-6bit