Nemotron-Mini-4B-Instruct-GGUF

second-state/Nemotron-Mini-4B-Instruct-GGUF

Nemotron-Mini-4B-Instruct-GGUF is a machine learning model from second-state. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for nemo. The card lists the license as other.

<div style="width: auto; margin-left: auto; margin-right: auto" <img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;" </div <hr…

Downloads · 30 days

10% of all-time downloads

All-time downloads

9.9K

Public

Repo size

138 GB

Likes

Public

Hugging Face

Repo makeup

Click a slice to open those files.

.gguf138 GB · 100%

At a glance

Library: nemo
License: other
Access: Public
Created: Sep 15, 2024
Updated: Aug 29, 2025
SHA: 216fa6d1

Base models

nvidia/Nemotron-Mini-4B-Instruct

Model card

From the Hugging Face model README

<div style="width: auto; margin-left: auto; margin-right: auto"> <img src="https://github.com/LlamaEdge/LlamaEdge/raw/dev/assets/logo.svg" style="width: 100%; min-width: 400px; display: block; margin: auto;"> </div> <hr style="margin-top: 1.0em; margin-bottom: 1.0em;">

Nemotron-Mini-4B-Instruct-GGUF

Original Model

nvidia/Nemotron-Mini-4B-Instruct

Run with LlamaEdge

LlamaEdge version: coming soon

Prompt template

Prompt type: nemotron-chat

Prompt string

<extra_id_0>System
{system_message}
<extra_id_1>User
{user_message_1}<extra_id_1>Assistant
{assistant_message_1}
<extra_id_1>User
{user_message_2}<extra_id_1>Assistant
{assistant_message_2}
<extra_id_1>User
{user_message_3}
<extra_id_1>Assistant\n

Tool use

<extra_id_0>System
{system_message}
<tool> {tool_1} </tool>
<tool> {tool_2} </tool>


<extra_id_1>User
{user_message_1}<extra_id_1>Assistant
<toolcall> {tool_call_message} </toolcall>
<extra_id_1>Tool
{tool_result_message}
<extra_id_1>Assistant\n

Context size: 4096

Run as LlamaEdge service

wasmedge --dir .:. --nn-preload default:GGML:AUTO:Nemotron-Mini-4B-Instruct-Q5_K_M.gguf \
  llama-api-server.wasm \
  --prompt-template nemotron-chat \
  --ctx-size 4096 \
  --model-name Nemotron-Mini-4B-Instruct

Tool use

wasmedge --dir .:. --nn-preload default:GGML:AUTO:Nemotron-Mini-4B-Instruct-Q5_K_M.gguf \
  llama-api-server.wasm \
  --prompt-template nemotron-tool \
  --ctx-size 4096 \
  --model-name Nemotron-Mini-4B-Instruct

Run as LlamaEdge command app

wasmedge --dir .:. --nn-preload default:GGML:AUTO:Nemotron-Mini-4B-Instruct-Q5_K_M.gguf \
  llama-chat.wasm \
  --prompt-template nemotron-chat \
  --ctx-size 4096

Quantized GGUF Models

Name	Quant method	Bits	Size	Use case
Nemotron-Mini-4B-Instruct-Q2_K.gguf	Q2_K	2	3.35 GB	smallest, significant quality loss - not recommended for most purposes
Nemotron-Mini-4B-Instruct-Q3_K_L.gguf	Q3_K_L	3	4.69 GB	small, substantial quality loss
Nemotron-Mini-4B-Instruct-Q3_K_M.gguf	Q3_K_M	3	4.32 GB	very small, high quality loss
Nemotron-Mini-4B-Instruct-Q3_K_S.gguf	Q3_K_S	3	3.90 GB	very small, high quality loss
Nemotron-Mini-4B-Instruct-Q4_0.gguf	Q4_0	4	5.04 GB	legacy; small, very high quality loss - prefer using Q3_K_M
Nemotron-Mini-4B-Instruct-Q4_K_M.gguf	Q4_K_M	4	5.33 GB	medium, balanced quality - recommended
Nemotron-Mini-4B-Instruct-Q4_K_S.gguf	Q4_K_S	4	5.07 GB	small, greater quality loss
Nemotron-Mini-4B-Instruct-Q5_0.gguf	Q5_0	5	6.11 GB	legacy; medium, balanced quality - prefer using Q4_K_M
Nemotron-Mini-4B-Instruct-Q5_K_M.gguf	Q5_K_M	5	6.26 GB	large, very low quality loss - recommended
Nemotron-Mini-4B-Instruct-Q5_K_S.gguf	Q5_K_S	5	6.11 GB	large, low quality loss - recommended
Nemotron-Mini-4B-Instruct-Q6_K.gguf	Q6_K	6	7.25 GB	very large, extremely low quality loss
Nemotron-Mini-4B-Instruct-Q8_0.gguf	Q8_0	8	9.38 GB	very large, extremely low quality loss - not recommended
Nemotron-Mini-4B-Instruct-f16.gguf	f16	16	17.7 GB

Quantized with llama.cpp b3751

Library: nemo
License: other
Created: Sep 15, 2024
Updated: Aug 29, 2025