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Granite 3.0 2B Instruct

OPEN
IBM · Granite 3.0 family · released Oct 21, 2024

Smaller dense Granite 3.0 model for cost-efficient enterprise inference; Apache 2.0, same 12T-token corpus, 12 languages.

ReasoningCodingVisionFunction callingTool useAgentic
181.6
Elo · rank #368
Parameters
2.53B
Active params
2.53B (dense)
Context
4K tokens
Architecture
Dense decoder-only transformer (GQA, RoPE, SwiGLU, RMSNorm)
License
Apache 2.0
Languages
12+
API price (in/out)
No hosted API
Modalities
text
Benchmark results
Bar shows position within the tracked field; marker = field best
AGIEvalReasoning29.8%#37
best: OLMo 3-Think 32B · 88.2%
ARC-ChallengeReasoning54.4%#111
best: Llama 3.1 405B · 96.9%
BIG-Bench HardReasoning43.7%#107
best: ERNIE 4.5 300B-A47B · 94.3%
GPQA DiamondReasoning28.6%#267
best: GPT-5.6 · 94.6%
GSM8KMath59.7%#116
best: Llama 3.1 405B · 96.8%
HellaSwagReasoning76.8%#101
best: Claude 3 Opus · 95.4%
HumanEvalCoding50.6%#122
best: Claude Opus 4.5 · 99.4%
IFEvalReasoning46.1%#135
best: Gemma 4 26B A4B · 98.5%
MATH-500Math23.7%#175
best: GPT-5 · 99.4%
MBPPCoding41.0%#83
best: Llama-3.3-Nemotron-Super-49B v1 (Reasoning On) · 91.3%
MGSMMath37.1%#50
best: OpenAI o4-mini · 93.7%
MMLU-ProKnowledge27.9%#166
best: Claude Fable 5 · 91.5%
MMLUKnowledge56.0%#218
best: OpenAI o3 · 92.9%
MT-BenchHuman preference7.66#53
best: Hunyuan-Large (A52B) · 9.4
OpenBookQAReasoning43.2%#40
best: Claude 1 · 90.8%
Social IQaReasoning66.4%#13
best: Apple DCLM-Baseline 7B · 82.9%
TruthfulQAKnowledge53.4%#44
best: Phi-3.5-MoE (16x3.8B, 6.6B active) · 77.5%
WinoGrandeReasoning71.9%#89
best: PaLM 2 · 90.9%
Run it locally
VRAM @ Q4
1.6 GB
VRAM @ FP16
5.27 GB
Fits on (Q4)
RTX 3060 12GBRTX 4070 Ti 16GBRTX 3090 24GBRTX 4090 24GBRTX 5090 32GBM4 Pro 48GBM3 Max 128GBM3 Ultra 512GBA100 80GBH100 80GBH200 141GBB200 192GB
Throughput data unavailable.
Quantizations
GGUF
Granite 3.0 family
Elo progression across releases
API price weights · each benchmark row carries its own source badge (see methodology)