# Llama-3.1-Nemotron-70B-Instruct [Canonical model page](https://headlessthrones.com/models/nvidia-llama-3-1-nemotron-70b-instruct) · [Model library](https://headlessthrones.com/models) Public catalog reference from Headless Thrones. Exact catalog ID: `nvidia-llama-3-1-nemotron-70b-instruct`. Catalog source-check date: 2026-10-23. This brief contains the public catalog answers and any catalog guide, not private drafts, historical editorial revisions or independently measured rankings. The canonical HTML page may also display separately published editorial. Current catalog answers ## What to know about Llama-3.1-Nemotron-70B-Instruct AI-compiled from linked model documentation. This is a catalog reference, not an independent performance review. Catalog checked October 23, 2026. [Exact model](https://headlessthrones.com/models/nvidia-llama-3-1-nemotron-70b-instruct#model-answer-identity) · [Access](https://headlessthrones.com/models/nvidia-llama-3-1-nemotron-70b-instruct#model-answer-access) · [Inputs & outputs](https://headlessthrones.com/models/nvidia-llama-3-1-nemotron-70b-instruct#model-answer-modalities) · [License](https://headlessthrones.com/models/nvidia-llama-3-1-nemotron-70b-instruct#model-answer-license) · [Model details](https://headlessthrones.com/models/nvidia-llama-3-1-nemotron-70b-instruct#model-answer-research) · [Weight details](https://headlessthrones.com/models/nvidia-llama-3-1-nemotron-70b-instruct#model-answer-repository) ### Which Llama-3.1-Nemotron-70B-Instruct does this page describe? Llama-3.1-Nemotron-70B-Instruct is a model record from **NVIDIA** in the Nemotron family. [Source](https://huggingface.co/nvidia/Llama-3.1-Nemotron-70B-Instruct) 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 Llama-3.1-Nemotron-70B-Instruct? The catalog documents **Open weights** access for Llama-3.1-Nemotron-70B-Instruct. [Source](https://huggingface.co/nvidia/Llama-3.1-Nemotron-70B-Instruct) As of the catalog check, this version was listed without confirmed general availability. [Source](https://huggingface.co/nvidia/Llama-3.1-Nemotron-70B-Instruct) 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 can Llama-3.1-Nemotron-70B-Instruct receive and generate? Documented inputs: **Text**. [Source](https://huggingface.co/nvidia/Llama-3.1-Nemotron-70B-Instruct/resolve/a83af1f4968437064635f6726fb745e5b615e863/README.md) Documented outputs: **Text**. [Source](https://huggingface.co/nvidia/Llama-3.1-Nemotron-70B-Instruct/resolve/a83af1f4968437064635f6726fb745e5b615e863/README.md) Input support and output generation are separate capabilities. Reading an image does not establish image generation; a text output listing does not establish speech output. File sizes, formats and media limits depend on the documented implementation. ### What license is recorded for Llama-3.1-Nemotron-70B-Instruct? The recorded license label is **llama3.1**. [Source](https://huggingface.co/nvidia/Llama-3.1-Nemotron-70B-Instruct) 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 distinguishes Llama-3.1-Nemotron-70B-Instruct? These details come from the linked publisher material for this model. Reported capabilities and training descriptions are publisher statements, not independent test results. **Alignment method**: RLHF using REINFORCE, NVIDIA’s reward model and HelpSteer2-Preference; initialized from Llama 3.1 70B Instruct. [Source](https://huggingface.co/nvidia/Llama-3.1-Nemotron-70B-Instruct/resolve/a83af1f4968437064635f6726fb745e5b615e863/README.md) **Input limit as documented**: Publisher documents a maximum input of 128k tokens. [Source](https://huggingface.co/nvidia/Llama-3.1-Nemotron-70B-Instruct/resolve/a83af1f4968437064635f6726fb745e5b615e863/README.md) **Output limit as documented**: Publisher documents a maximum output of 4k tokens. [Source](https://huggingface.co/nvidia/Llama-3.1-Nemotron-70B-Instruct/resolve/a83af1f4968437064635f6726fb745e5b615e863/README.md) **Specialization limitation**: Designed to improve general instruction helpfulness; not tuned for specialized domains such as mathematics. [Source](https://huggingface.co/nvidia/Llama-3.1-Nemotron-70B-Instruct/resolve/a83af1f4968437064635f6726fb745e5b615e863/README.md) **Published architecture**: Uses the Llama 3.1 Transformer architecture. [Source](https://huggingface.co/nvidia/Llama-3.1-Nemotron-70B-Instruct/resolve/a83af1f4968437064635f6726fb745e5b615e863/README.md) **Documented runtime compatibility**: The card lists Linux and NVIDIA Ampere, Hopper and Turing microarchitectures as supported. [Source](https://huggingface.co/nvidia/Llama-3.1-Nemotron-70B-Instruct/resolve/a83af1f4968437064635f6726fb745e5b615e863/README.md) ### What is documented about the Llama-3.1-Nemotron-70B-Instruct checkpoint? This evidence refers to `nvidia/Llama-3.1-Nemotron-70B-Instruct` at recorded revision `a83af1f4968437064635f6726fb745e5b615e863`, checked October 23, 2026. [Repository metadata](https://huggingface.co/api/models/nvidia/Llama-3.1-Nemotron-70B-Instruct) Listed library: `nemo`. Check that library's version and model support before loading the weights. [Repository metadata](https://huggingface.co/api/models/nvidia/Llama-3.1-Nemotron-70B-Instruct) Repository language labels: en. These labels are not independent evaluations of language quality. [Repository metadata](https://huggingface.co/api/models/nvidia/Llama-3.1-Nemotron-70B-Instruct) Repository access gate: `false`. This records the repository's gate setting when checked; licensing and use terms still apply. [Repository metadata](https://huggingface.co/api/models/nvidia/Llama-3.1-Nemotron-70B-Instruct) Read the retrieved model card for setup and qualifications. [Model card](https://huggingface.co/nvidia/Llama-3.1-Nemotron-70B-Instruct/resolve/a83af1f4968437064635f6726fb745e5b615e863/README.md) **Catalog qualifications:** Official publisher model repository; listed status confirms a catalog entry, not a verified hosted API service. [Source 1](https://huggingface.co/api/models/nvidia/Llama-3.1-Nemotron-70B-Instruct) · [Source 2](https://huggingface.co/nvidia/Llama-3.1-Nemotron-70B-Instruct/resolve/a83af1f4968437064635f6726fb745e5b615e863/README.md) **Evidence still missing here:** context or input capacity, knowledge and training-data cutoffs, and tested hardware requirements. Missing documentation is not evidence that a feature is unavailable. Headless Thrones has not independently benchmarked this model for this reference. Evaluate it on representative work before choosing it; these facts do not rank its accuracy, reliability, speed or suitability against another model. 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. ### [NVIDIA-Nemotron-3.5-Bolt-E4B-BF16](https://headlessthrones.com/models/nvidia-nvidia-nemotron-3-5-bolt-e4b-bf16) Open weights ### [Nemotron-3.5-Parse](https://headlessthrones.com/models/nvidia-nemotron-3-5-parse) Open weights ### [NVIDIA-Nemotron-Labs-Dory1.0-4B-BF16](https://headlessthrones.com/models/nvidia-nvidia-nemotron-labs-dory1-0-4b-bf16) Open weights · 256,000 context tokens ### [NVIDIA-Nemotron-3.5-Bolt-74B-A9B-BF16](https://headlessthrones.com/models/nvidia-nvidia-nemotron-3-5-bolt-74b-a9b-bf16) Open weights · 256,000 context tokens ### [NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-Base-BF16](https://headlessthrones.com/models/nvidia-nvidia-nemotron-3-5-super-vl-120b-a12b-base-bf16) Open weights ### [NVIDIA-Nemotron-3.5-Super-VL-120B-A12B-BF16](https://headlessthrones.com/models/nvidia-nvidia-nemotron-3-5-super-vl-120b-a12b-bf16) Open weights · 1,000,000 context tokens