Model reference · open weights
NVIDIA-Nemotron-Labs-Teacher-General-Reasoning is an open-weight language model from nvidia, listed in the AxForge catalogue. AxForge can bring it up on EU-owned hardware for you on request — with the licence handled where one is required.
About
NVIDIA-Nemotron-Labs-Teacher-General-Reasoning Model Summary Model Overview Model Developer: NVIDIA Corporation Model Dates: December 2025 - May 2026 Data Freshness: The post-training data has a cutoff date of May 2026. The pre-training data has a cutoff date of September 2025. What is Nemotron? NVIDIA Nemotron™ is a family of open models with open weights, training data, and recipes, delivering leading efficiency and accuracy for building specialized AI agents. Description NVIDIA-Nemotron-Labs-Teacher-General-Reasoning is a specialized long-horizon reasoning model in the Nemotron 3 Ultra family, trained by NVIDIA. It is produced by taking the post-trained Nemotron 3 Ultra student student and applying an additional round of reasoning-intensive supervised fine-tuning and reinforcement learning, yielding a model optimized for extended, high-quality reasoning traces on the hardest multi-step problems across math, logic, and abstract reasoning. Within the broader recipe, this is one of more than ten domain-specialized teacher models that supply training signal to Multi-Teacher On-Policy Distillation (MOPD), the stage used to produce the final Nemotron 3 Ultra. It is released as a standalone checkpoint because it is a strong reasoning model in its own right. Like other models in the family, it responds to user queries and tasks by first generating a reasoning trace and then concluding with a final response. The model's reasoning capabilities can be configured through a flag in the chat template. The model employs a hybrid Latent Mixture-of-Experts (LatentMoE) architecture, utilizing interleaved Mamba-2 and MoE layers, along with select Attention layers. Like the Super model, the Ultra model incorporates Multi-Token Prediction (MTP) layers for faster text generation and improved quality, and it is trained using an NVFP4 pre-training recipe to maximize compute efficiency. The model has 55B active parameters and 550B parameters in total. The supported languages include: English, French, Spanish, Italian, German, Japanese, Korean, Hindi, Brazilian Portuguese, and Chinese. This model is ready for commercial and non-commercial use. License/Terms of Use Governing Download T
Summarised from the published model card. Read the full card on the HuggingFace links below.
Specifications
| Maker | nvidia |
|---|---|
| Type | Language models |
| Parameters (lead) | 560.5B |
| Variants | 1 |
| Runs with | transformers |
| Released | 2026-08-14 |
| Popularity | 600 downloads / month |
| Likes | 13 |
| Licence | Commercial licence needed |
How it works
Variants
Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.
| Variant | Params | Precision | VRAM | Fits 16 GB | Weights |
|---|---|---|---|---|---|
| NVIDIA-Nemotron-Labs-Teacher-General-Reasoning | 560.5B | BF16 | ~1289.2 GB | — | Weights ↗ |
Using it via the API
Once AxForge deploys nvidia-nemotron-labs-teacher-general-reasoning for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (nvidia-nemotron-labs-teacher-general-reasoning below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/chat/completions \
-H "Authorization: Bearer $AXFORGE_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"nvidia-nemotron-labs-teacher-general-reasoning","messages":[{"role":"user","content":"Hello"}]}'
Details
Languages
Trained / evaluated on
Tags
Licence
The weights are open but its licence needs a commercial agreement for business use. AxForge can arrange that licence and host the model for you — you pay AxForge, we settle with the model’s maker. Ask us for a quote. Read the licence ↗
Sources