FitMyLLM
IBM/Dense

IBMGranite 4.2 3B

Granite 4.2 3B — IBM's smallest Granite 4.2 model: dense, Apache 2.0, with built-in thinking that can be switched off or set to low effort. 128K native context, extendable to 512K.

chatcodingreasoningmultilingualmathtool_useagentic
3.66B
Parameters
128K
Context length
9
Benchmarks
6
Quantizations
34K
HF downloads
Architecture
Dense
Released
2026-08-25
Layers
40
KV Heads
8
Head Dim
64
Family
granite

Quantization Options

Context length:
QuantBitsVRAM @ 16KQuality
Q4_K_M4.89
3.7 GB
2.7 + 0.9 KV
good
Q5_K_S5.57
4.0 GB
3.0 + 0.9 KV
good
Q5_K_M5.7
4.0 GB
3.1 + 0.9 KV
good
Q6_K6.56
4.4 GB
3.5 + 0.9 KV
excellent
Q8_08.5
5.3 GB
4.4 + 0.9 KV
lossless
FP1616
8.7 GB
7.8 + 0.9 KV
lossless

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

Deploying for a team or in production? Size GPUs, cost & scaling in Enterprise →
▸ READY TO RUN THIS?RENT BY THE HOUR

RENT A GPU AND RUN GRANITE 4.2 3B NOW

Spin up an A100 / H100 / 4090 in ~60s. Pay by the second. Cancel anytime.

Community Ratings

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Benchmarks (9)

AIME78.3
LiveCodeBench69.7
MMLU-PRO67.8
GPQA Diamond55.9
SciCode25.3
AA Long Context24.3
Terminal-Bench 2.113.9
HLE6.6
Terminal-Bench 40.0

Run this model

▸Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run granite4.2:3b-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 Granite 4.2 3B

Build Hardware for Granite 4.2 3B
▸ SPEC SHEET

Granite 4.2 3B — 3.66B Dense.

▸ SPECIFICATIONS
PARAMETERS
3.66B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
128K tokens
CAPABILITIES
chat, coding, reasoning, multilingual, math, tool_use, agentic
RELEASE DATE
2026-08-25
PROVIDER
IBM
FAMILY
granite
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
Q4_K_M4.892.7 GB94%
Q5_K_S5.573.0 GB96%
Q5_K_M5.73.1 GB96%
Q6_K6.563.5 GB97%
Q8_08.54.4 GB100%
FP16167.8 GB100%
§ 01BENCHMARK SCORES
MMLU-PRO67.8
GPQA Diamond55.9
LiveCodeBench69.7
AIME78.3
HLE6.6
aa_scicode25.3
aa_lcr24.3
aa_terminal_bench_v213.9
aa_terminal_bench_v40.0
§ 02RUN COMMAND

Run Granite 4.2 3B locally with Ollama — needs 2.7 GB VRAM at Q4_K_M:

$ollama run granite4.2:3b
§ 03COMPATIBLE GPUs
30 @ Q4_K_M