Model
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Granite 3.0 8B Instruct

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

Dense 8B enterprise LLM trained on 12T tokens across 12 languages/116 code languages for RAG, tool use and summarization.

ReasoningCodingVisionFunction callingTool useAgentic
415.3
Elo · rank #329
Parameters
8.1B
Active params
8.1B (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
AGIEvalReasoning40.5%#31
best: OLMo 3-Think 32B · 88.2%
ARC-ChallengeReasoning64.2%#70
best: Llama 3.1 405B · 96.9%
BIG-Bench HardReasoning51.5%#96
best: ERNIE 4.5 300B-A47B · 94.3%
GPQA DiamondReasoning33.8%#248
best: GPT-5.6 · 94.6%
GSM8KMath69.0%#101
best: Llama 3.1 405B · 96.8%
HellaSwagReasoning82.6%#62
best: Claude 3 Opus · 95.4%
HumanEvalCoding64.6%#91
best: Claude Opus 4.5 · 99.4%
IFEvalReasoning52.3%#132
best: Gemma 4 26B A4B · 98.5%
MATH-500Math30.9%#162
best: GPT-5 · 99.4%
MBPPCoding49.6%#72
best: Llama-3.3-Nemotron-Super-49B v1 (Reasoning On) · 91.3%
MGSMMath48.2%#46
best: OpenAI o4-mini · 93.7%
MMLU-ProKnowledge34.5%#160
best: Claude Fable 5 · 91.5%
MMLUKnowledge65.8%#172
best: OpenAI o3 · 92.9%
MT-BenchHuman preference8.22#39
best: Hunyuan-Large (A52B) · 9.4
OpenBookQAReasoning46.6%#32
best: Claude 1 · 90.8%
Social IQaReasoning71.2%#11
best: Apple DCLM-Baseline 7B · 82.9%
TruthfulQAKnowledge60.3%#23
best: Phi-3.5-MoE (16x3.8B, 6.6B active) · 77.5%
WinoGrandeReasoning77.5%#47
best: PaLM 2 · 90.9%
Run it locally
VRAM @ Q4
6 GB
VRAM @ FP16
16.2 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 Q4_K_M · AWQ · GPTQ
Granite 3.0 family
Elo progression across releases
API price weights · each benchmark row carries its own source badge (see methodology)