FitMyLLM
IBM/Dense

IBMGranite 3.0 8B

Granite 3.0 8B — IBM's best mid-size model for enterprise use.

chatcoding
8.17B
Parameters
128K
Context length
8
Benchmarks
6
Quantizations
60K
HF downloads
Architecture
Dense
Released
2024-09-25
Layers
40
KV Heads
8
Head Dim
128
Family
granite

Quantization Options

Context length:
QuantBitsVRAM @ 16KQuality
Q4_K_M4.89
7.4 GB
5.5 + 1.9 KV
good
Q5_K_S5.57
8.1 GB
6.2 + 1.9 KV
good
Q5_K_M5.7
8.2 GB
6.3 + 1.9 KV
good
Q6_K6.56
9.1 GB
7.2 + 1.9 KV
excellent
Q8_08.5
11.0 GB
9.2 + 1.9 KV
lossless
FP1616
18.7 GB
16.8 + 1.9 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 3.0 8B NOW

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

Community Ratings

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Benchmarks (8)

Arena Elo1108
IFEval76.0
HumanEval57.0
MMLU-PRO38.0
BBH34.7
MATH23.8
MUSR16.8
GPQA8.7

Run this model

Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run granite3-dense:8b-instruct-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 C2070
6 GB VRAM • 143 GB/s
NVIDIA
NVIDIA Tesla C2075
6 GB VRAM • 150 GB/s
NVIDIA
NVIDIA Tesla C2090
6 GB VRAM • 177 GB/s
NVIDIA
NVIDIA Tesla M2070
6 GB VRAM • 150 GB/s
NVIDIA
NVIDIA Tesla M2070-Q
6 GB VRAM • 150 GB/s
NVIDIA
NVIDIA Tesla M2075
6 GB VRAM • 150 GB/s
NVIDIA
NVIDIA Tesla M2090
6 GB VRAM • 177 GB/s
NVIDIA
NVIDIA Tesla X2070
6 GB VRAM • 177 GB/s
NVIDIA
NVIDIA Tesla X2090
6 GB VRAM • 177 GB/s
NVIDIA
NVIDIA Tesla K20X
6 GB VRAM • 250 GB/s
NVIDIA
NVIDIA Tesla K20Xm
6 GB VRAM • 250 GB/s
NVIDIA

Find the best GPU for Granite 3.0 8B

Build Hardware for Granite 3.0 8B

Granite 3.0 8B — IBM's best mid-size model for enterprise use.

▸ SPEC SHEET

Granite 3.0 8B8.17B Dense.

▸ SPECIFICATIONS
PARAMETERS
8.17B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
128K tokens
CAPABILITIES
chat, coding
RELEASE DATE
2024-09-25
PROVIDER
IBM
FAMILY
granite
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
Q4_K_M4.895.5 GB94%
Q5_K_S5.576.2 GB96%
Q5_K_M5.76.3 GB96%
Q6_K6.567.2 GB97%
Q8_08.59.2 GB100%
FP161616.8 GB100%
§ 01BENCHMARK SCORES
HumanEval57.0
MMLU-PRO38.0
MATH23.8
IFEval76.0
BBH34.7
GPQA8.7
MUSR16.8
Arena Elo1108.0
§ 02RUN COMMAND

Run Granite 3.0 8B locally with Ollama — needs 5.5 GB VRAM at Q4_K_M:

$ollama run granite3-dense:8b
§ 03COMPATIBLE GPUs
30 @ Q4_K_M