HuggingFace/Dense

HuggingFaceSmolLM3-3B

chat
3.1B
Parameters
64K
Context length
7
Benchmarks
6
Quantizations
1.1M
HF downloads
Architecture
Dense
Released
2025-07-01
Layers
36
KV Heads
4
Head Dim
128
Family
smollm

Quantization Options

QuantBitsVRAMQuality
Q4_K_M4.892.4 GBgood
Q5_K_S5.572.6 GBgood
Q5_K_M5.72.7 GBgood
Q6_K6.563.0 GBexcellent
Q8_08.53.8 GBlossless
FP16166.7 GBlossless

Select your GPU above to see speed estimates and compatibility for each quantization.

READY TO RUN THIS?RENT BY THE HOUR

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Community Ratings

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Benchmarks (7)

IFEval76.7
MATH46.1
GPQA35.7
HumanEval30.5
BBH10.9
MMLU-PRO10.7
MUSR2.8

Run this model

Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run smollm:3b-q4_K_M

Downloads and runs automatically. Add --verbose for speed stats.

▸ SETUP GUIDE
>_

Auto-setup with fitmyllm CLI

Detects your GPU, recommends the best model, downloads it, and starts chatting — zero config. Benchmarks your speed and contributes anonymous data to improve predictions.

pip install fitmyllmthen run fitmyllmLearn more
Auto-detect GPULive tok/s in chatSpeed benchmarks9 inference engines

GPUs that can run this model

At Q4_K_M quantization. Sorted by minimum VRAM.

NVIDIA Tesla C2050
3 GB VRAM • 144 GB/s
NVIDIA
NVIDIA Tesla M2050
3 GB VRAM • 148 GB/s
NVIDIA
NVIDIA Tesla S2050
3 GB VRAM • 148 GB/s
NVIDIA

Find the best GPU for SmolLM3-3B

Build Hardware for SmolLM3-3B
▸ SPEC SHEET

SmolLM3-3B3.1B Dense.

▸ SPECIFICATIONS
PARAMETERS
3.1B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
64K tokens
CAPABILITIES
chat
RELEASE DATE
2025-07-01
PROVIDER
HuggingFace
FAMILY
smollm
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
Q4_K_M4.892.4 GB94%
Q5_K_S5.572.6 GB96%
Q5_K_M5.72.7 GB96%
Q6_K6.563.0 GB97%
Q8_08.53.8 GB100%
FP16166.7 GB100%
§ 01BENCHMARK SCORES
HumanEval30.5
MMLU-PRO10.7
MATH46.1
IFEval76.7
BBH10.9
GPQA35.7
MUSR2.8
§ 02RUN COMMAND

Run SmolLM3-3B locally with Ollama — needs 2.4 GB VRAM at Q4_K_M:

$ollama run smollm:3b