๐ NVIDIA
NVIDIA
Nemotron Mini 4B
Current392.4KDownloads184LikesAug 2024Released4K tokensContextNVIDIA Open ModelLicense6 EntryQuality
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.
Get started
โ copy & paste to run locallyCopy-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
โ Chat
About this model
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- โขHuman Content Red Teaming leveraging human interaction and evaluation of the models' responses
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Your hardware
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Run this model
Quantization options
VRAM estimates by quant level
No hardware detected โ fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 1.6 GB | Low | โ |
Q3_K_S | 3 | 2.0 GB | Low | โ |
NVFP4 | 4 | 2.2 GB | Medium | โ |
Q4_K_M | 4 | 2.4 GB | Medium | โ |
Q5_K_M | 5 | 2.9 GB | High | โ |
Q6_K | 6 | 3.3 GB | High | โ |
Q8_0 | 8 | 4.3 GB | Very High | โ |
F16 | 16 | 8.2 GB | Maximum | โ |
Quality benchmarks
Nemotron Mini 4B benchmark scores
Coding
SWE-bench Verifiedโ
HumanEval+23.3%
Aider Polyglotโ
LiveCodeBenchโ
Reasoning
MMLU-Pro18.1%
GPQA Diamond4.0%
MATH-5002.6%
ARC Challenge50.9%
General
Chatbot Arenaโ
IFEval66.7%
Source: official ยท 2024-07-17
Hardware compatibility
Fit estimates across all hardware
Computing compatibility...
Memory breakdown
Reference: RTX 2060 6GB
Weights2.4 GB
KV Cache2.0 GB
Runtime1.2 GB
Headroom0.6 GB
Frequently asked questions
FAQ โ Nemotron Mini 4B
See also
