NVIDIANVIDIA

Nemotron Mini 4B

現行
376.4Kダウンロード182いいねAug 2024公開日4K トークンコンテキストNVIDIA Open Modelライセンス6 入門品質

Nemotron Mini 4B (4B parameters) requires approximately 6.2 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 8 GB of VRAM.

はじめに

— コピー&ペーストでローカル実行

Copy-paste commands to run Nemotron Mini 4B on your machine.

Run

docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \ --hf-repo "nvidia/Nemotron-Mini-4B-Instruct" \ --hf-file "Nemotron-Mini-4B-Instruct-Q4_K_M.gguf" \ -c 4096 -ngl 99

Quick specs

Parameters4B
Architecturedense
Context4K tokens
Modalitytext
Min RAM1.6 GB
Rec. RAM2.4 GB (Q4_K_M)
LicenseNVIDIA Open Model
FamilyNemotron
Chat

About this model

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. It is a fine-tuned version of nvidia/Minitron-4B-Base, which was pruned and distilled from Nemotron-4 15B using our LLM compression technique. This instruct model is optimized for roleplay, RAG QA, and function calling in English. It supports a context length of 4,096 tokens. This model is ready for commercial use.

  • Garak, is an automated LLM vulnerability scanner that probes for common weaknesses, including prompt injection and data leakage
  • AEGIS, is a content safety evaluation dataset and LLM based content safety classifier model, that adheres to a broad taxonomy of 13 categories of...
  • Human Content Red Teaming leveraging human interaction and evaluation of the models' responses

関連モデル

あなたのハードウェア

検出中...

おすすめ

最適なハードウェア

Nemotron Mini 4Bのおすすめ

このモデルを実行

量子化オプション

量子化レベル別VRAM推定値

No hardware detected — fit column shows raw VRAM estimates

QuantBitsVRAMQualityFit
Q2_K
2
1.6 GB
Low
Q3_K_S
3
2.0 GB
Low
NVFP4
4
2.2 GB
Medium
Q4_K_M
4
2.4 GB
Medium
Q5_K_M
5
2.9 GB
High
Q6_K
6
3.3 GB
High
Q8_0
8
4.3 GB
Very High
F16
16
8.2 GB
Maximum

Quality benchmarks

Nemotron Mini 4B benchmark scores

Benchmark verified

Coding

SWE-bench Verified
HumanEval+23.3%
Aider Polyglot
LiveCodeBench

Reasoning

MMLU-Pro18.1%
GPQA Diamond4.0%
MATH-5002.6%
ARC Challenge50.9%

General

Chatbot Arena
IFEval66.7%

Source: official · 2024-07-17

ハードウェア互換性

全ハードウェアの適合度推定

カリキュレーターを開く

Computing compatibility...

メモリ内訳

Reference: RTX 2060 6GB

Weights2.4 GB
KV Cache2.0 GB
Runtime1.2 GB
Headroom0.6 GB

よくある質問

FAQ — Nemotron Mini 4B

関連項目