Nemotron-Mini-4B Instruct is a model for generating responses for roleplaying, retrieval augmented generation, and function calling. It is a small language model (SLM) optimized through distillation, pruning and quantization for speed and on-device deployment. VRAM usage has been minimized to approximately 2 GB, providing significantly faster time to first token compared to LLMs.
This model is ready for commercial use.
NVIDIA AI Foundation Models Community License Agreement
Please refer to the User Guide to use the model and use a suggested guideline for prompts.
Architecture Type: Transformer
Network Architecture: Decoder-only
The model was trained on data that contains toxic language and societal biases originally crawled from the internet. Therefore, the model may amplify those biases and return toxic responses especially when prompted with toxic prompts. The model may generate answers that may be inaccurate, omit key information, or include irrelevant or redundant text producing socially unacceptable or undesirable text, even if the prompt itself does not include anything explicitly offensive. This issue could be exacerbated without the use of the recommended prompt template. This issue could be exacerbated without the use of the recommended prompt template.
Input Type(s): Text (Prompt)
Input Format(s): String
Input Parameters: One Dimensional (1D)
Other Properties Related to Input: The model has a maximum of 4096 input tokens.
Output Type(s): Text (Response)
Output Format: String
Output Parameters: 1D
Other Properties Related to Output: The model has a maximum of 4096 input tokens. Maximum output for both versions can be set apart from input.
We recommend using the following prompt template, which was used to fine-tune the model. The model may not perform optimally without it.
Single Turn
<extra_id_0>System
{system prompt}
<extra_id_1>User
{prompt}
<extra_id_1>Assistant\n
Tool use
<extra_id_0>System
{system prompt}
<tool> ... </tool>
<context> ... </context>
<extra_id_1>User
{prompt}
<extra_id_1>Assistant
<toolcall> ... </toolcall>
<extra_id_1>Tool
{tool response}
<extra_id_1>Assistant\n
Runtime(s): AI Inference Manager (NVAIM) Version 1.0.0
Toolkit: NVAIM
See this document for details on how to integrate the model into NVAIM.
Supported Hardware Platform(s): GPU supporting DirectX 11/12 and Vulkan 1.2 or higher
[Preferred/Supported] Operating System(s):
Toolkit: NVIDIA NIM
See this document for details on how to integrate the model into NVAIM.
[Preferred/Supported] Operating System(s):
Nemotron-4-4B-instruct
** Data Collection Method by dataset
** Labeling Method by dataset
Properties (Quantity, Dataset Descriptions, Sensor(s)):
Trained on approximately 10000 Game/Non-Playable Character (NPC) dialog turns from domain chat data.
** Data Collection Method by dataset
** Labeling Method by dataset
Properties (Quantity, Dataset Descriptions, Sensor(s)):
Evaluated on approximately Game/NPC 1000 dialog turns from domain chat data.
Engine: TRT-LLM
Test Hardware [Name the specific test hardware model]:
Supported Hardware Platform(s): L40s, A10g, A100, H100
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