Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16: access, sources and model facts

Publisher-sourced inventory. Specifications come from official documentation and model cards. “Not documented” means we have no verified value. This inventory is separate from our editorial reviews.

Coverage & sources ↗

Current catalog answers

What to know about Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16

AI-compiled from linked model documentation. This is a catalog reference, not an independent performance review. Catalog checked October 23, 2026.

Which Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16 does this page describe?

Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16 is a model record from NVIDIA in the Nemotron family. Source

A separate version identifier is not documented in this record; the model name alone does not establish which snapshot a service runs.

How can you access Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16?

The catalog documents Open weights access for Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16. Source

As of the catalog check, this version was listed without confirmed general availability. Source

Open weights means the model weights are distributed for use under their stated terms. It does not establish a hosted API, an open-source license, or a hardware requirement.

What dates are documented for Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16?

Release date: April 28, 2026. Source This is a release milestone, not a knowledge or training cutoff.

Neither a knowledge cutoff nor a training-data cutoff is established here. A release date, repository upload or filename cannot supply those missing dates.

What license is recorded for Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16?

The recorded license label is nvidia-open-model-agreement. Source

Read the linked license and associated use terms for this exact version before redistribution, commercial deployment or fine-tuning. A label alone does not establish every permission, restriction or obligation, and it does not determine the terms of a separate hosted service.

What is documented about the Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16 checkpoint?

This evidence refers to nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16 at recorded revision e5e9932441de940c9a62185c870ea5bcd4cd24e2, checked October 23, 2026. Repository metadata

Safetensors metadata records 33,015,632,214 stored parameters. This is a stored-weight count, not necessarily the number activated per token, a download size or a GPU-memory requirement. Repository metadata

Recorded architecture class: NemotronH_Nano_Omni_Reasoning_V3. Repository metadata

Repository task tag: any-to-any. A task tag identifies a distribution category; it does not measure performance on that task. Repository metadata

Listed library: transformers. Check that library's version and model support before loading the weights. Repository metadata

Repository access gate: false. This records the repository's gate setting when checked; licensing and use terms still apply. Repository metadata

What the configuration file says

The pinned config.json section llm_config contains these values. Pinned configuration

max_position_embeddings: 262,144
torch_dtype: bfloat16
num_attention_heads: 32
num_key_value_heads: 2
num_hidden_layers: 52
hidden_size: 2,688

Configuration values describe the checkpoint and its implementation. In particular, max_position_embeddings, sliding_window and rope_scaling do not independently establish an API context limit, tested usable length or hardware requirement. Runtime, quantization, cache, batch size and input length affect deployment behavior.

Read the retrieved model card for setup and qualifications. Model card

Keep the exact version in view

Other Nemotron models from NVIDIA.

These are separate records in the same publisher family. A shared family name does not establish equal capabilities or interchangeable licenses.

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NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-Base-BF16

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NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16

Open weights · 1,000,000 context tokens

The documented record

Specifications, with their sources.

A missing value remains unknown. Input limits, output limits and the total context window are separate measurements.

Publisher: NVIDIASource ↗
Family: NemotronSource ↗
Version: Not documented
Availability: Listed by publisherSource ↗
Access: Open weightsSource ↗
Inputs: Not documented
Outputs: Not documented
Context window: Not documented
Maximum input: Not documented
Maximum output: Not documented
Knowledge cutoff: Not documented
Training-data cutoff: Not documented
Training completed: Not documented
Release date: Apr 28, 2026Release date · day precisionSource ↗
License: nvidia-open-model-agreementSource ↗
Input price / 1M tokens: Not documented
Output price / 1M tokens: Not documented

Read this with the numbers.

Official publisher model repository; listed status confirms a catalog entry, not a verified hosted API service. Publisher repository evidence (2026-10-23): Publisher task label: any-to-any. Published architecture metadata: NemotronH_Nano_Omni_Reasoning_V3. Repository library label: transformers. Published safetensors metadata counts 33,015,632,214 stored parameters; this is not an active-parameter count for mixture-of-experts models. Published llm_config configuration: max_position_embeddings=262144; dtype=bfloat16; 52 hidden layers. Checkpoint configuration is not a verified hosted serving limit; context and output limits remain separate documented fields.

Model identifiers and aliases 1

nvidia/Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16

Follow the evidence

Official sources.

From the Headless Thrones newsroom

Editorial about Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16

No published articles are linked to this exact model yet. New coverage will appear here as it is published.

Your starting point

Nemotron-3-Nano-Omni-30B-A3B-Reasoning-BF16

NVIDIA · Open weights

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Inputs: Not documented
Outputs: Not documented
Context window: Not documented
Knowledge cutoff: Not documented

A place to begin comparing

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Some publishers use rounded K/M token figures. Deployment, reasoning settings and regional access can change usable limits. Read the source before choosing.

Coverage and last check

Independent editorial model library assembled from primary vendor documentation and official publisher model cards. This is a dated, auditable inventory of the sources reviewed, not a claim to every model worldwide. First-party language-model inventory for OpenAI, Anthropic, Google Gemini/Gemma, xAI, Meta and Reflection. Includes vendor-listed legacy/retired identities with explicit statuses; official pretrained and instruction-tuned checkpoints remain distinct. Excludes embeddings, moderation/guard models, image/audio/video-only generation, community fine-tunes, speculative draft helpers, format/runtime/quantization duplicates, and PaliGemma dataset-specific benchmark fine-tunes. Availability means documented vendor API or downloadable official weights, not guaranteed account eligibility. Unknown specifications and dates remain null. Rounded K/M limits preserve vendor granularity; exact integers are used only where documented. No OpenRouter facts are used. Primary-source inventory of language-capable models from Alibaba/Qwen, DeepSeek, Moonshot, MiniMax, Z.ai, ByteDance Seed, Tencent, Baidu, Xiaomi, StepFun, 01.AI, Shanghai AI Laboratory, Baichuan and OpenBMB. Includes full reachable official public weight inventories plus documented hosted API models and explicit retirements. Embeddings, reward/classifier/router/tokenizer/draft-head components, standalone OCR/document converters and image/video/audio-only generators are excluded; multimodal language models retained. Official packaging variants are folded into aliases where a canonical listing was identifiable; remaining research/base/SFT variants retain exact identities. Not a guarantee every historical/private/regional model is available. Unknown specifications remain null; K/M API display quantities use decimal normalization where explicitly noted, rather than implying verified exact serving ceilings. Model-name dates and repository creation timestamps are never used as release/training dates. Open weights does not mean unrestricted or OSI-open-source licensing. Some model-card bodies were unreachable; their public inventory metadata is retained and disclosed. Official Mistral, Cohere, AI21, NVIDIA Nemotron, Microsoft Phi/MAI, Amazon Nova, IBM Granite, AllenAI OLMo/Molmo, TII Falcon, Nous Research, Arcee and Essential AI model inventory checked 2026-10-23. Includes base, instruction, reasoning, coding and text-producing multimodal models, including legacy API versions. Excludes embeddings/rerankers/reward and safety classifiers, image/audio/video-only generation, robotics-only models, duplicate quantization/runtime packages, adapters, intermediate checkpoint experiments, and third-party mirrors. Arcee coverage focuses on its named product families rather than exploratory merge repositories. Repository listing means listed, not independently verified API availability. K/M figures are nominal decimal normalizations when the source supplies shorthand; deployment-specific exact token limits may differ. Unverified values remain null. This is a source-backed inventory, not a complete claim-level independent editorial review. Supplemental official Liquid AI, Reka and Inception generative language catalog. Excludes media-only generators and decision/classification-only models. No assumed training dates.

Catalog edition updated Oct 23, 2026. Source links are provided on each model record.

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