Ministral 3B

Ministral 3B

Mistral AI
SmolLM2

SmolLM2

Hugging Face
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+

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About

Mistral AI introduced two state-of-the-art models for on-device computing and edge use cases, named "les Ministraux": Ministral 3B and Ministral 8B. These models set a new frontier in knowledge, commonsense reasoning, function-calling, and efficiency in the sub-10B category. They can be used or tuned for various applications, from orchestrating agentic workflows to creating specialist task workers. Both models support up to 128k context length (currently 32k on vLLM), and Ministral 8B features a special interleaved sliding-window attention pattern for faster and memory-efficient inference. These models were built to provide a compute-efficient and low-latency solution for scenarios such as on-device translation, internet-less smart assistants, local analytics, and autonomous robotics. Used in conjunction with larger language models like Mistral Large, les Ministraux also serve as efficient intermediaries for function-calling in multi-step agentic workflows.

About

SmolLM2 is a collection of state-of-the-art, compact language models developed for on-device applications. The models in this collection range from 1.7B parameters to smaller 360M and 135M versions, designed to perform efficiently even on less powerful hardware. These models excel in text generation tasks and are optimized for real-time, low-latency applications, providing high-quality results across various use cases, including content creation, coding assistance, and natural language processing. SmolLM2's flexibility makes it a suitable choice for developers looking to integrate powerful AI into mobile devices, edge computing, and other resource-constrained environments.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers and organizations seeking an AI model for on-device applications

Audience

Developers and AI enthusiasts looking to integrate compact, high-performance language models into mobile apps, edge computing systems, or other devices with limited processing power

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Mistral AI
Founded: 2023
France
mistral.ai/news/ministraux/

Company Information

Hugging Face
Founded: 2016
United States
huggingface.co/collections/HuggingFaceTB/smollm2-6723884218bcda64b34d7db9

Alternatives

Ministral 8B

Ministral 8B

Mistral AI

Alternatives

BitNet

BitNet

Microsoft
Mistral Large

Mistral Large

Mistral AI
Orpheus TTS

Orpheus TTS

Canopy Labs
Gemini Nano

Gemini Nano

Google
Mistral Large 3

Mistral Large 3

Mistral AI
Mistral NeMo

Mistral NeMo

Mistral AI

Categories

Categories

Integrations

Airtrain
AlphaCorp
Amazon Bedrock
Arize Phoenix
Continue
Groq
HoneyHive
Klee
Langflow
Lunary
Melies
Memo AI
MindMac
Mistral Large
NexaSDK
Prompt Security
Unify AI
WebLLM
Wordware
Yaseen AI

Integrations

Airtrain
AlphaCorp
Amazon Bedrock
Arize Phoenix
Continue
Groq
HoneyHive
Klee
Langflow
Lunary
Melies
Memo AI
MindMac
Mistral Large
NexaSDK
Prompt Security
Unify AI
WebLLM
Wordware
Yaseen AI
Claim Ministral 3B and update features and information
Claim Ministral 3B and update features and information
Claim SmolLM2 and update features and information
Claim SmolLM2 and update features and information