nemotron-3-8b-chat-4k-sft

Which nemotron-3-8b-chat-4k-sft does this page describe?

nemotron-3-8b-chat-4k-sft 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-3-8b-chat-4k-sft?

The catalog documents Open weights access for nemotron-3-8b-chat-4k-sft. 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 are nemotron-3-8b-chat-4k-sft's context and output limits?

The documented context window is 4,096 tokens. Source

A separate maximum-output value is not established in this record. The context or input figure should not be used as an output allowance.

Context, input and output limits describe different constraints. Do not add the figures together to infer a larger window. Check the endpoint's accounting for conversation history, system instructions, tools, media and generated tokens; a documented maximum is not a guarantee of answer quality or a measured usable capacity.

What can nemotron-3-8b-chat-4k-sft receive and generate?

Documented inputs: text. Source

Documented outputs: text. Source

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 nemotron-3-8b-chat-4k-sft?

The recorded license label is nv-ai-foundation-models-license. 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 distinguishes nemotron-3-8b-chat-4k-sft?

These details come from the linked publisher material for this model. Reported capabilities and training descriptions are publisher statements, not independent test results.

Exact checkpoint training method

Instruction-tuned through supervised fine-tuning. Source

Architecture

Uses a GPT-3-style Transformer architecture. Source

Documented hardware

The model card lists H100 and A100 GPUs with 80 GB or 40 GB as supported hardware. Source

Training corpus

The card reports 3.5 trillion training tokens spanning 53 human languages and 37 programming languages. Source

What is documented about the nemotron-3-8b-chat-4k-sft checkpoint?

This evidence refers to nvidia/nemotron-3-8b-chat-4k-sft at recorded revision 3ca45a4e9d23a974be5fdd0f73c5e3147863a708, checked October 23, 2026. Repository metadata

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

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

Repository language labels: en, ar, az, bg, bn, ca, cs, da, de, el, es, et, fa, fi, fr, gl, he, hi, hr, hu, hy, id, is, it, ka, kk, kn, ko, lt, lv, mk, ml, mr, ne, nl, no, pl, pt, ro, ru, sk, sl, sq, sr, sv, ta, te, tr, uk, ur, vi, ja, and zh. These labels are not independent evaluations of language quality. Repository metadata

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

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