NVIDIA-Nemotron-Labs-Teacher

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What NVIDIA-Nemotron-Labs-Teacher is

NVIDIA-Nemotron-Labs-Teacher-Chat 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-Chat is a specialized conversational 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 chat-focused supervised fine-tuning and RLHF, yielding a model with strong multi-turn conversational quality, helpfulness, and alignment with human preferences across open-ended writing, advice, and everyday assistance. 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 chat 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.5 License/Terms of Use Governing Download Terms: Use of this model is governed by

Summarised from the published model card. Read the full card on the HuggingFace links below.

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Sizes & precisions

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.

Using it via the API

Call it like any OpenAI endpoint

Once AxForge deploys nvidia-nemotron-labs-teacher for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (nvidia-nemotron-labs-teacher 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","messages":[{"role":"user","content":"Hello"}]}'

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Commercial licence needed

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