Activefrontierllm Open Source

Mistral NeMo

by Mistral AI· Released July 2024

Mistral NeMo is a state-of-the-art 12B parameter language model developed in collaboration with NVIDIA, offering a large context window of 128K tokens. It is designed for high performance on multilingual tasks, coding, and reasoning, and is available as an open-weight model under the Apache 2.0 license. Mistral NeMo serves as a strong alternative to larger models like Llama 3 70B, providing competitive performance with lower computational requirements.

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

12B

License

Apache-2.0

Capabilities

MultilingualCode GenerationReasoningFunction CallingStreamingJSON Mode

Best For

High-performance multilingual tasks, coding, and reasoning with a large context window, suitable for deployment in resource-constrained environments.

Strengths

Competitive performance against larger models like Llama 3 70B
Large 128K token context window
Open-weight under Apache 2.0 license
Strong multilingual support including English, French, German, Spanish, Italian, Portuguese, Chinese, Japanese, Korean, Arabic, and Hindi
Efficient 12B parameter size for faster inference

Limitations

Smaller parameter count may limit performance on extremely complex tasks compared to 70B+ models
No native vision or multimodal capabilities
Relatively new model with evolving ecosystem
May require fine-tuning for specialized domains
Not as widely adopted as some other open models

Use Cases

Multilingual customer support chatbots

Code generation and assistance in IDEs

Document summarization and analysis with long context

Educational tutoring in multiple languages

Content creation and translation

Data extraction and structured output generation

Research and experimentation in NLP

Improvements Over Previous Model

Introduced as a new model family, not an incremental update; predecessor is Mistral 7B, but NeMo is a different architecture with 12B parameters
Context window increased from 32K (Mistral 7B) to 128K tokens
Significantly improved multilingual capabilities with support for 10+ languages
Better coding and reasoning performance due to larger model size and collaboration with NVIDIA
Open-weight release under Apache 2.0 license, unlike Mistral 7B which was under a custom license

Back to all models

Strengths

Competitive performance against larger models like Llama 3 70B

Large 128K token context window

Open-weight under Apache 2.0 license

Strong multilingual support including English, French, German, Spanish, Italian, Portuguese, Chinese, Japanese, Korean, Arabic, and Hindi

Efficient 12B parameter size for faster inference

Improvements Over Previous Model

Introduced as a new model family, not an incremental update; predecessor is Mistral 7B, but NeMo is a different architecture with 12B parameters

Context window increased from 32K (Mistral 7B) to 128K tokens

Significantly improved multilingual capabilities with support for 10+ languages

Better coding and reasoning performance due to larger model size and collaboration with NVIDIA

Open-weight release under Apache 2.0 license, unlike Mistral 7B which was under a custom license