Mistral Nemo
Mistral Nemo is a text generation model from Mistral with a 128,000-token context window, released in July 2024.
MistralMultilingual text generation with large context
Mistral Nemo is a large language model developed by Mistral and released in July 2024. It is designed for text generation tasks and supports a context window of 128,000 tokens, allowing it to process and respond to long documents or extended conversations within a single session. The model is available under the full name open-mistral-nemo and is served as a first-party offering through Mistral's API.
Mistral Nemo is well-suited for tasks that benefit from long-context understanding, such as document summarization, multi-turn dialogue, and content generation across multiple languages. The model was developed in collaboration with NVIDIA and uses a 12-billion-parameter architecture trained with a tokenizer called Tekken, which is designed to handle a broad range of languages more efficiently than earlier Mistral tokenizers. Its relatively compact size makes it practical to deploy in environments where resource constraints matter.
What Mistral Nemo supports
Long Context Window
Processes up to 128,000 tokens in a single session, enabling analysis of lengthy documents or extended multi-turn conversations without truncation.
Text Generation
Generates coherent, contextually relevant text for tasks such as summarization, drafting, and question answering.
Multilingual Support
Trained with the Tekken tokenizer, which improves token efficiency across a wide range of languages compared to earlier Mistral tokenizers.
Large Response Output
Supports a maximum response size of 64,000 tokens, allowing for detailed and lengthy completions in a single call.
Function Calling
Supports function calling, enabling structured tool use and integration with external APIs or application logic.
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Get Started FreeCommon questions about Mistral Nemo
What is the context window size for Mistral Nemo?
Mistral Nemo supports a context window of 128,000 tokens, meaning it can process up to that many tokens of combined input and conversation history in a single session.
What is the maximum response size?
The model can generate responses of up to 64,000 tokens in a single completion.
Who developed Mistral Nemo?
Mistral Nemo was developed by Mistral in collaboration with NVIDIA and released in July 2024.
Does Mistral Nemo support image or video inputs?
No. Based on the available metadata, Mistral Nemo is a text-only model and does not support image or video analysis.
What is the knowledge cutoff date for Mistral Nemo?
Mistral has not publicly specified an exact knowledge cutoff date for Mistral Nemo. The model was released in July 2024, which provides a general upper bound for its training data.
What people think about Mistral Nemo
Community sentiment around Mistral NeMo on r/LocalLLaMA is notably positive, with one thread asking why its usage keeps growing over a year after release attracting 223 upvotes and 93 comments. Users frequently cite its multilingual capabilities and 12B parameter size as reasons for its sustained popularity in local deployment scenarios.
Common use cases discussed include multilingual applications and uncensored or fine-tuned variants for roleplay and creative tasks. Some community members have raised questions about a potential follow-up release, suggesting interest in an updated version of the model.
Where's Mistral Nemo 2.0?
Made a 12B uncensored RP merge, putting it out there - MistralNemoDionysusV3
Why does Mistral NeMo's usage keep growing even after more than a year since releasing?
Mistral NEMO upscale, but kinda weird
Best uncensored multi language LLM up to 12B, still Mistral Nemo?
Parameters & options
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