Model
Model explorer

OLMo 2 7B

OPEN
Allen Institute for AI (Ai2) · OLMo 2 family · released Nov 26, 2024

Fully open 7B trained on up to 5T tokens; outperforms Llama 3.1 8B on English academic benchmarks despite lower training FLOPs.

ReasoningCodingVisionFunction callingTool useAgentic
446.1
Elo · rank #319
Parameters
7.3B
Active params
7.3B (dense)
Context
4K tokens
Architecture
Dense transformer (decoder-only)
License
Apache 2.0
Languages
1+
API price (in/out)
No hosted API
Modalities
text
Benchmark results
Bar shows position within the tracked field; marker = field best
AGIEvalReasoning50.4%#16
best: OLMo 3-Think 32B · 88.2%
AlpacaEvalHuman preference29.1%#32
best: Tülu 2+DPO 70B · 95.1%
ARC-ChallengeReasoning79.8%#39
best: Llama 3.1 405B · 96.9%
DROPReasoning60.8#50
best: Hunyuan-T1 · 93.1
GSM8KMath67.5%#103
best: Llama 3.1 405B · 96.8%
HellaSwagReasoning83.8%#54
best: Claude 3 Opus · 95.4%
MATH-500Math32.5%#159
best: GPT-5 · 99.4%
MMLU-ProKnowledge31.0%#164
best: Claude Fable 5 · 91.5%
MMLUKnowledge63.7%#185
best: OpenAI o3 · 92.9%
TriviaQAKnowledge78.0%#15
best: Sarvam-1 (2B) · 90.6%
TruthfulQAKnowledge56.5%#33
best: Phi-3.5-MoE (16x3.8B, 6.6B active) · 77.5%
WinoGrandeReasoning77.2%#49
best: PaLM 2 · 90.9%
Run it locally
VRAM @ Q4
5 GB
VRAM @ FP16
15 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
API price weights · each benchmark row carries its own source badge (see methodology)