Model
Model explorer
Gemma 2B
OPENGoogle · Gemma family · released Feb 21, 2024
Smallest first-gen open Gemma; runs on modest/consumer hardware; superseded by Gemma 2/3/4 generations.
ReasoningCodingVisionFunction callingTool useAgentic
-150.7
Elo · rank #418
Parameters
2.5B
Active params
2.5B (dense)
Context
8K tokens
Architecture
Dense decoder-only Transformer (MQA, RoPE, GeGLU)
License
Gemma Terms of Use
Languages
—
API price (in/out)
No hosted API
Modalities
text
Benchmark results
Bar shows position within the tracked field; marker = field best
best: OLMo 3-Think 32B · 88.2%
best: Llama 3.1 405B · 96.9%
best: Phi-3-medium (14B) · 97.7%
best: ERNIE 4.5 300B-A47B · 94.3%
best: GPT-5.6 · 94.6%
best: Llama 3.1 405B · 96.8%
best: Claude 3 Opus · 95.4%
best: Claude Opus 4.5 · 99.4%
best: Gemma 4 26B A4B · 98.5%
best: GPT-5 · 99.4%
best: Llama-3.3-Nemotron-Super-49B v1 (Reasoning On) · 91.3%
best: Claude Fable 5 · 91.5%
best: OpenAI o3 · 92.9%
best: Claude 1 · 90.8%
best: GPT-4o mini · 93.1%
best: Apple DCLM-Baseline 7B · 82.9%
best: Sarvam-1 (2B) · 90.6%
best: PaLM 2 · 90.9%
Run it locally
VRAM @ Q4
2 GB
VRAM @ FP16
5 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
No verified RTX 4090 llama.cpp Q4 throughput number found for the original (Gemma 1) 2B checkpoint.
Quantizations
GGUF Q4_K_M · GGUF Q8_0
API price weights · each benchmark row carries its own source badge (see methodology)