Mistral AI
Mistral Nemo 12B
Mistral's 12B model with excellent instruction following.
About This Model
Mistral Nemo 12B is a large language model (LLM) developed by Mistral AI, boasting 12 billion parameters. This model excels in generating high-quality text across a wide range of tasks, including but not limited to, writing, summarization, translation, and question-answering. With a context length of 131,072 tokens, it can handle extensive inputs, making it suitable for applications that require deep contextual understanding. The Apache-2.0 license ensures it is freely available for both research and commercial use, which has contributed to its popularity, evident from over 125,000 downloads and 1,662 likes.
In the 12B parameter size class, Mistral Nemo 12B holds its own, often outperforming models of similar size in terms of efficiency and output quality. It is particularly noted for its ability to generate coherent and contextually relevant responses, even with complex prompts. The availability of quantizations like Q4_K_M and Q8_0 makes it more accessible for local deployment, reducing the VRAM requirements to a range of 7.5 to 12.6 GB. This makes it a practical choice for users with mid-range GPUs, such as those found in consumer-grade laptops and desktops. Ideal users include researchers, developers, and content creators who need a powerful yet efficient LLM for local use without the overhead of cloud services.
Check Your Hardware
See which quantizations of Mistral Nemo 12B your hardware can run.
Quantization Options
| Quantization | Bits | File Size | VRAM Needed | RAM Needed | Quality |
|---|---|---|---|---|---|
| Q4_K_M | 4.5 | 6.964 GB | 7.46 GB | 7.96 GB | 85% |
| Q8_0 | 8 | 12.128 GB | 12.63 GB | 13.13 GB | 98% |
See It In Action
Real model outputs generated via RunThisModel.com — watch responses stream in real time.
Outputs generated by real AI models via RunThisModel.com. Generation speed shown is from cloud inference. Local speeds vary by hardware — check your device.
Frequently Asked Questions
How much VRAM do I need to run Mistral Nemo 12B?
Mistral Nemo 12B requires 7.46GB VRAM minimum with Q4_K_M quantization. For full precision, you need 12.63GB VRAM.
What is the best quantization for Mistral Nemo 12B?
Q4_K_M offers the best balance of quality and VRAM usage. Q8_0 is near-lossless if you have enough VRAM.