Nemotron Nano 9B v2
Catalogue summary: NVIDIA hybrid Mamba-Transformer 9B. 6x throughput vs comparable dense models, 128K context, strong maths/code. Efficient toggle-able reasoning. NVIDIA Open Model License.
Repository editorial metadata; verify comparative claims in the linked upstream material.
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Verified source status
LocalClaw verified a public model card for Nemotron Nano 9B v2 on 2026-09-07, but no public GGUF file in that repository. The catalogue RAM and quantization fields are estimates, not a verified install path.
Only the public model card was verified; no public GGUF file was verified in that repository. Open the model card to confirm current artefacts and supported runtimes. LocalClaw does not claim a one-click LM Studio install.
Source availability
Catalogue record
- Family: nemotron
- Parameters: 9B
- Recommended quantization: Q5_K_M
- Catalogue minimum RAM: 10 GB
- Catalogue model size: 5.5 GB
- Tags: chat, reasoning, code, standard, general
Practical limits
- Catalogue RAM is a minimum estimate, not a guarantee for every context length or runtime.
- Speed and memory use vary by quantization, backend, context length and system headroom.
- Verify architecture, licence and usage restrictions in the linked upstream material before deployment.
Catalogue tags
- chat
- reasoning
- code
- standard
- general
Capability profile
Repository catalogue ratings used by LocalClaw's editorial rubric. They are not a standardized third-party benchmark.
Technical notes
Related catalogue entries
Linked mechanically by family, shared tags and nearby RAM tier; this is not a quality ranking.