👁 AllenAI
AllenAI
OLMo 2 13B
Current
Nov 2024Released33K tokensContextApache 2.0License64 GoodQuality
OLMo 2 13B (13B parameters) requires approximately 11.9 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 14 GB of VRAM.
Get started
— copy & paste to run locallyCopy-paste commands to run OLMo 2 13B on your machine.
Run
docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \
--hf-repo "allenai/OLMo-2-13B-Instruct" \
--hf-file "OLMo-2-13B-Instruct-Q4_K_M.gguf" \
-c 4096 -ngl 99Quick specs
Parameters13B
Architecturedense
Context33K tokens
Modalitytext
Min RAM5.1 GB
Rec. RAM7.9 GB (Q4_K_M)
LicenseApache 2.0
FamilyOLMo
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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 | 5.1 GB | Low | — |
Q3_K_S | 3 | 6.4 GB | Low | — |
NVFP4 | 4 | 7.3 GB | Medium | — |
Q4_K_M | 4 | 7.9 GB | Medium | — |
Q5_K_M | 5 | 9.4 GB | High | — |
Q6_K | 6 | 10.7 GB | High | — |
Q8_0 | 8 | 13.9 GB | Very High | — |
F16 | 16 | 26.7 GB | Maximum | — |
Quality benchmarks
OLMo 2 13B benchmark scores
General
Chatbot Arena—
IFEval82.6%
Source: official · 2024-11-24
Hardware compatibility
Fit estimates across all hardware
Computing compatibility...
Memory breakdown
Reference: RTX 2060 6GB
Weights7.9 GB
KV Cache2.4 GB
Runtime0.9 GB
Headroom0.6 GB
Frequently asked questions
FAQ — OLMo 2 13B
See also