Can I run OLMoE 1B-7B on my device?

OLMoE 1B-7B requires a minimum of 5GB VRAM. Use RunThisModel to check your specific hardware compatibility and find the best quantization for your device.

How much VRAM does OLMoE 1B-7B need?

OLMoE 1B-7B needs 5GB VRAM at minimum (Q4_K_M quantization). Higher quality quantizations need more: Q4_K_M: 5GB, Q8_0: 8GB.

How do I download OLMoE 1B-7B?

You can download OLMoE 1B-7B in GGUF format from HuggingFace (4.2GB minimum). Use the RunThisModel iOS app to download and run it directly on your device, or download manually from HuggingFace.

Can OLMoE 1B-7B run on iPhone?

OLMoE 1B-7B can run on iPhones with 8GB RAM (iPhone 15 Pro+) using smaller quantizations, though performance may be limited.

AI2

OLMoE 1B-7B

Name: OLMoE 1B-7B
Author: AI2

Fully open MoE — 7 B total, only 1.3 B active per token. Tiny footprint, surprisingly capable.

6.9B parametersolmoeapache-2.04K context5GB - 8GB VRAM

About This Model

OLMoE from AI2 is the most accessible MoE on this list. 7 B total parameters means it fits on a 6 GB GPU at Q4, but only 1.3 B activate per token — so inference is fast even on modest hardware. Fully open: weights, training data, and recipes all released under Apache-2.0.

Check Your Hardware

See which quantizations of OLMoE 1B-7B your hardware can run.

Quantization Options

Quantization	Bits	File Size	VRAM Needed	RAM Needed	Quality
Q4_K_M	4.5	4.2 GB	5 GB	8 GB	85%
Q8_0	8	7.4 GB	8 GB	10 GB	98%

Context window & KV cache

Adds 0.50 GB to VRAM

Long chats and RAG inputs cost real memory. Drag to see how 32K vs 128K context shifts your grade.

Model native max: 4K tokens. KV-cache estimate is approximate (±30 %); real usage depends on attention layout.

How to run OLMoE 1B-7B

Pick a runtime — copy & paste. Commands are pre-filled with this model’s repo.

GUI. Browse → download → chat. MLX on Apple Silicon.

LM Studio home →

1
Open LM Studio
Go to the 🔍 Search tab.

Search for

bartowski/OLMoE-1B-7B-0924-Instruct-GGUF

3
Download
Pick the Q4_K_M quant — best balance of size vs. quality.
4
Chat
Hit ▶ Load Model and start chatting. Toggle 'Local Server' to expose an OpenAI-compatible API on :1234.

Community benchmarks

Real tokens/sec reports from people running OLMoE 1B-7B on actual hardware.

No community runs yet for this model. Be the first to submit your numbers.

Download & Run

HuggingFace

View model & download weights

Ollama

One-command install & run

See It In Action

Real model outputs generated via RunThisModel.com — watch responses stream in real time.

Llama 3.3 70B responding...

Outputs generated by real AI models via RunThisModel.com. Generation speed shown is from cloud inference. Local speeds vary by hardware — check your device.

Frequently Asked Questions

How much VRAM do I need to run OLMoE 1B-7B?

OLMoE 1B-7B requires 5GB VRAM minimum with Q4_K_M quantization. For full precision, you need 8GB VRAM.

What is the best quantization for OLMoE 1B-7B?

Q4_K_M offers the best balance of quality and VRAM usage. Q8_0 is near-lossless if you have enough VRAM.