Mistral Nemo 12B
Mistral Nemo 12B is a 12-billion-parameter model co-developed by Mistral AI and Nvidia, released under the Apache 2.0 license for fully open commercial use. Built on Nvidia's Mistral-Nemo architecture, it uses a 128K context window and a new Tekken tokenizer that improves multilingual compression and reduces token counts across non-English languages.
Nemo 12B is notable for fitting into a single GPU while offering context and multilingual capabilities that previously required larger models. It is well-suited as a foundation for enterprise fine-tuning and as a drop-in replacement for teams seeking a permissively licensed model with genuine long-context support.
Key Features
128K token context window in a 12B parameter model
Apache 2.0 license — fully open for commercial use and modification
Tekken tokenizer with improved multilingual compression efficiency
Co-developed with Nvidia for optimized inference on Nvidia hardware
Strong instruction following and chat-optimized checkpoint available
Good foundation for fine-tuning on domain-specific corpora
Ideal Use Cases
Long-document summarization and analysis on a single GPU
Building multilingual applications with genuine non-English quality
Enterprise fine-tuning where Apache 2.0 licensing is required
RAG pipelines needing a capable open-weight backbone
Academic research and reproducible AI experiments
Example Prompts for Mistral Nemo 12B
Technical Specifications
| Provider | Mistral |
| Category | Text |
| Modality | Text -> Text |
| Context Window | 128K tokens |
Frequently Asked Questions
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