NVIDIA
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 99Quick 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
- •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
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
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
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
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
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