Activefastllm Open Source

Ministral 8B

by Mistral AI· Released October 2024

Ministral 8B is a compact, efficient language model designed for on-device and edge computing applications. It offers strong performance for its size, with a 128k context window and support for multiple languages, making it suitable for tasks like summarization, classification, and retrieval.

Official Site API Docs 🤗 Hugging Face

Input cost

Free (open source)

Output cost

Free (open source)

Context window

128K tokens

Max output

—

Modalities

text

Parameters

License

Apache-2.0

Capabilities

MultilingualFunction CallingStreamingJSON ModeCode GenerationRetrieval-Augmented Generation

Best For

On-device and edge applications requiring efficient, low-latency language processing with a large context window.

Strengths

Compact size (8B parameters) enables deployment on edge devices
128k context window for handling long documents
Strong multilingual performance
Open source with permissive license

Limitations

Smaller parameter count limits complex reasoning compared to larger models
Not suitable for tasks requiring deep domain expertise
May struggle with highly nuanced or creative content generation

Use Cases

On-device summarization of long documents

Real-time text classification and moderation

Efficient retrieval-augmented generation for knowledge bases

Multilingual customer support chatbots

Code completion and generation in resource-constrained environments

Edge-based content filtering and analysis

Privacy-preserving local AI assistants

Improvements Over Previous Model

First model in the Ministral family, so no direct predecessor; improvements over Mistral 7B include larger context window (128k vs 8k), better multilingual support, and optimized for edge deployment

Back to all models

Activefastllm Open Source

Ministral 8B

by Mistral AI· Released October 2024

Official Site API Docs 🤗 Hugging Face

Input cost

Free (open source)

Output cost

Free (open source)

Context window

128K tokens

Max output

—

Modalities

text

Parameters

License

Apache-2.0

Capabilities

MultilingualFunction CallingStreamingJSON ModeCode GenerationRetrieval-Augmented Generation

Best For

On-device and edge applications requiring efficient, low-latency language processing with a large context window.

Strengths

Compact size (8B parameters) enables deployment on edge devices
128k context window for handling long documents
Strong multilingual performance
Open source with permissive license

Limitations

Smaller parameter count limits complex reasoning compared to larger models
Not suitable for tasks requiring deep domain expertise
May struggle with highly nuanced or creative content generation

Use Cases

On-device summarization of long documents

Real-time text classification and moderation

Efficient retrieval-augmented generation for knowledge bases

Multilingual customer support chatbots

Code completion and generation in resource-constrained environments

Edge-based content filtering and analysis

Privacy-preserving local AI assistants

Improvements Over Previous Model

First model in the Ministral family, so no direct predecessor; improvements over Mistral 7B include larger context window (128k vs 8k), better multilingual support, and optimized for edge deployment

Back to all models