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Text model · Olmo

OL Olmo 3 7B Instruct: RAM and VRAM requirements

Olmo 3 7B Instruct needs about 5.6 GB to run at Q4_K_M (the Q4_K_M GGUF file is ~4.16 GB to download; KV cache and overhead add the rest), or about 8.6 GB at Q8_0. The lightest hardware that runs it is Nvidia GeForce RTX 3060 Ti (8GB).

Olmo family · 7B params · released Nov 2025 · 453K Ollama pulls.

Shopping for hardware? See what runs Olmo 3 7B Instruct →

License Apache-2.0 · Commercial OK ↓ 246.9K/mo ♥ 143 on HuggingFace
Q4_K_M GGUF
4.16 GB
Q8_0 GGUF
7.23 GB
Memory @ Q4 (4k)
~5.6 GB
Context
64 k

Q4_K_M and Q8_0 are GGUF download (file) sizes. Memory @ Q4 includes the KV cache and overhead, so it runs larger than the file on disk.

Will it run on your device?

Olmo 3 7B Instruct runs on 35 of 43 tracked devices at Q4_K_M.

35 run well 0 tight fit 8 too small
Fit check Q4_K_M
Yes, it runs fast
needs 5.6 GB usable 10.5 GB
See the full breakdown
$ollama run olmo-3:7b-instruct

Memory breakdown

Weights (Q4_K_M)4.16 GB
+
KV cache (4k)0.6 GB
+
Overhead0.8 GB
=
Total5.6 GB

How context length changes it

4k context ~5.6 GB 32k context ~10.1 GB 128k context ~25.3 GB

Longer context grows the KV cache quickly: Olmo 3 7B Instruct needs ~5.6 GB at 4k but ~25.3 GB at 128k, which can push it past a device that fits it at a short context.

Speed drops too: every token re-reads the KV cache, so at 128k context Olmo 3 7B Instruct generates at roughly ~17% of its short-context speed. How this is estimated.

Quantization sizes

GGUF quantson disk
Quantization Size on disk
Q2_K 2.9 GB est
Q3_K_M 3.4 GB est
Q4_K_M (default) 4.16 GB
Q5_K_M 5 GB est
Q6_K 5.7 GB est
Q8_0 7.23 GB
FP16 14.6 GB

Lower quant = smaller and faster, slightly lower quality. Q4_K_M is the common default.

Run it

Ollama
$ ollama run olmo-3:7b-instruct
llama.cpp
$ llama-cli -hf unsloth/Olmo-3-7B-Instruct-GGUF:Q4_K_M
LM Studio
$ lms get unsloth/Olmo-3-7B-Instruct-GGUF

Which devices can run Olmo 3 7B Instruct?

NVIDIA GPUs

Apple Silicon Macs

RAM-only laptops

iPhone & iPad

Android

AMD GPUs

Same job, different size

Pick by what fits your memory: step down to free up VRAM, or step up if you have headroom.

Next size down Gemma 4 E2B 5.1B Next size up Llama 3.1 8B 8B

Similar models

Head-to-head

FAQ

How much VRAM or RAM does Olmo 3 7B Instruct need?

At Q4_K_M, Olmo 3 7B Instruct needs about 5.6 GB (weights ~4.16 GB + KV cache + overhead) at a 4k context. At Q8_0 budget ~8.6 GB.

What is the Q4_K_M GGUF file size of Olmo 3 7B Instruct?

The Q4_K_M GGUF file is about 4.16 GB to download, and the Q8_0 GGUF is about 7.23 GB. That is the weights file on disk; to run it you also need room for the KV cache and overhead, so budget ~5.6 GB of memory at Q4_K_M.

Can Olmo 3 7B Instruct run on a laptop?

Yes, Olmo 3 7B Instruct fits on a 16 GB machine at Q4_K_M and runs on Apple Silicon or a 12 GB+ GPU comfortably.

Can I use Olmo 3 7B Instruct commercially?

Yes. Olmo 3 7B Instruct is licensed Apache-2.0, which permits commercial use.

Understand the numbers

Short guides to the ideas behind Olmo 3 7B Instruct's memory and quant figures.

AI2's fully open 7B (open data, code and checkpoints), 64K context, Apache-2.0. Fills the small end below the Olmo 3.1 32B already tracked. Sizes from unsloth's GGUF repo; a 7b-think reasoning variant ships at the same sizes.

Sources

Last validated 2026-09-07. Memory figures are estimates. See methodology.