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Gemma 2 2B
Current
390.2KDownloads1.4KLikesJun 2024Released8K tokensContextGemmaLicense15 EntryQuality
Gemma 2 2B (2B parameters) requires approximately 4.6 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 6 GB of VRAM.
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— copy & paste to run locallyCopy-paste commands to run Gemma 2 2B on your machine.
Run
lms load gemma-2-2b-it && lms server startQuick specs
Parameters2B
Architecturedense
Context8K tokens
Modalitytext
Min RAM0.8 GB
Rec. RAM1.2 GB (Q4_K_M)
LicenseGemma
FamilyGemma
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About this model
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Quantization options
VRAM estimates by quant level
No hardware detected — fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 0.8 GB | Low | — |
Q3_K_S | 3 | 1.0 GB | Low | — |
NVFP4 | 4 | 1.1 GB | Medium | — |
Q4_K_M | 4 | 1.2 GB | Medium | — |
Q5_K_M | 5 | 1.4 GB | High | — |
Q6_K | 6 | 1.6 GB | High | — |
Q8_0 | 8 | 2.1 GB | Very High | — |
F16 | 16 | 4.1 GB | Maximum | — |
Quality benchmarks
Gemma 2 2B benchmark scores
Coding
SWE-bench Verified—
HumanEval+40.2%
Aider Polyglot—
LiveCodeBench—
Reasoning
MMLU-Pro17.2%
GPQA Diamond3.2%
MATH-50036.6%
ARC Challenge68.4%
General
Chatbot Arena—
IFEval56.7%
Source: official · 2024-06-27
Hardware compatibility
Fit estimates across all hardware
Computing compatibility...
Memory breakdown
Reference: RTX 2060 6GB
Weights1.2 GB
KV Cache1.6 GB
Runtime1.2 GB
Headroom0.6 GB
Frequently asked questions
FAQ — Gemma 2 2B
See also