Quick start
ollama run nemotron-3-nano:latestRunnable variants
Memory is a rough file-size estimate; context length, runtime and GPU offload change it.
9 of 9 matching variants shown.9 of 9 variants shown.
| Tag | Type | Inputs | Digest | Download | Parameters | Quantization | Context | Est. memory | Run |
|---|---|---|---|---|---|---|---|---|---|
| 30b | Typelocal | Inputstext | Digestb725f1117407 | Download24 GB | Parameters30b | QuantizationUnknown | Context1M | Est. memory≈ 28 GB | ollama run nemotron-3-nano:30b |
| 30b-a3b-fp16 | Typelocal | Inputstext | Digest69eb03c51301 | Download63 GB | Parameters30b-a3b | QuantizationFP16 | Context1M | Est. memory≈ 71.5 GB | ollama run nemotron-3-nano:30b-a3b-fp16 |
| 30b-a3b-q4_K_M | Typelocal | Inputstext | Digestb725f1117407 | Download24 GB | Parameters30b-a3b | QuantizationQ4_K_M | Context1M | Est. memory≈ 28 GB | ollama run nemotron-3-nano:30b-a3b-q4_K_M |
| 30b-a3b-q8_0 | Typelocal | Inputstext | Digesta98df31bcc4a | Download34 GB | Parameters30b-a3b | QuantizationQ8_0 | Context1M | Est. memory≈ 39 GB | ollama run nemotron-3-nano:30b-a3b-q8_0 |
| 30b-cloud | Typecloud | Inputstext | Digest01d0d069a149 | DownloadUnknown | Parameters30b | QuantizationUnknown | Context1M | Est. memoryUnknown | ollama run nemotron-3-nano:30b-cloud |
| 4b | Typelocal | Inputstext | Digest6cc467f05439 | Download2.8 GB | Parameters4b | QuantizationUnknown | Context256K | Est. memory≈ 4.5 GB | ollama run nemotron-3-nano:4b |
| 4b-bf16 | Typelocal | Inputstext | Digest4bc6e34d03fb | Download8.0 GB | Parameters4b | QuantizationBF16 | Context256K | Est. memory≈ 10 GB | ollama run nemotron-3-nano:4b-bf16 |
| 4b-q8_0 | Typelocal | Inputstext | Digestc534497d032c | Download4.2 GB | Parameters4b | QuantizationQ8_0 | Context256K | Est. memory≈ 6 GB | ollama run nemotron-3-nano:4b-q8_0 |
| latestdefault | Typelocal | Inputstext | Digestb725f1117407 | Download24 GB | ParametersUnknown | QuantizationUnknown | Context1M | Est. memory≈ 28 GB | ollama run nemotron-3-nano:latest |
Source-listed applications
Related models
Gemma 4 models are designed to deliver frontier-level performance at each size. They are well-suited for reasoning, agentic workflows, coding, and multimodal understanding.
Granite Guardian 4.1 is a specialized safety and judging model from IBM Research that evaluates whether LLM prompts and responses meet specified harm criteria.
The most powerful vision-language model in the Qwen model family to date.
Olmo is a series of Open language models designed to enable the science of language models. These models are pre-trained on the Dolma 3 dataset and post-trained on the Dolci datasets.