Instructions to use allenai/OLMoE-1B-7B-0924-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

Libraries

How to use allenai/OLMoE-1B-7B-0924-GGUF with llama-cpp-python:

# !pip install llama-cpp-python

from llama_cpp import Llama

llm = Llama.from_pretrained(
	repo_id="allenai/OLMoE-1B-7B-0924-GGUF",
	filename="olmoe-1b-7b-0924-f16.gguf",
)

output = llm(
	"Once upon a time,",
	max_tokens=512,
	echo=True
)
print(output)

Notebooks
Google Colab
Kaggle
Local Apps

llama.cpp

How to use allenai/OLMoE-1B-7B-0924-GGUF with llama.cpp:

Install from brew

brew install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf allenai/OLMoE-1B-7B-0924-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf allenai/OLMoE-1B-7B-0924-GGUF:Q4_K_M

Install from WinGet (Windows)

winget install llama.cpp
# Start a local OpenAI-compatible server with a web UI:
llama-server -hf allenai/OLMoE-1B-7B-0924-GGUF:Q4_K_M
# Run inference directly in the terminal:
llama-cli -hf allenai/OLMoE-1B-7B-0924-GGUF:Q4_K_M

Use pre-built binary

# Download pre-built binary from:
# https://github.com/ggerganov/llama.cpp/releases
# Start a local OpenAI-compatible server with a web UI:
./llama-server -hf allenai/OLMoE-1B-7B-0924-GGUF:Q4_K_M
# Run inference directly in the terminal:
./llama-cli -hf allenai/OLMoE-1B-7B-0924-GGUF:Q4_K_M

Build from source code

git clone https://github.com/ggerganov/llama.cpp.git
cd llama.cpp
cmake -B build
cmake --build build -j --target llama-server llama-cli
# Start a local OpenAI-compatible server with a web UI:
./build/bin/llama-server -hf allenai/OLMoE-1B-7B-0924-GGUF:Q4_K_M
# Run inference directly in the terminal:
./build/bin/llama-cli -hf allenai/OLMoE-1B-7B-0924-GGUF:Q4_K_M

Use Docker

docker model run hf.co/allenai/OLMoE-1B-7B-0924-GGUF:Q4_K_M

LM Studio
Jan
Ollama
How to use allenai/OLMoE-1B-7B-0924-GGUF with Ollama:
```
ollama run hf.co/allenai/OLMoE-1B-7B-0924-GGUF:Q4_K_M
```

Unsloth Studio new

How to use allenai/OLMoE-1B-7B-0924-GGUF with Unsloth Studio:

Install Unsloth Studio (macOS, Linux, WSL)

curl -fsSL https://unsloth.ai/install.sh | sh
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for allenai/OLMoE-1B-7B-0924-GGUF to start chatting

Install Unsloth Studio (Windows)

irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for allenai/OLMoE-1B-7B-0924-GGUF to start chatting

Using HuggingFace Spaces for Unsloth

# No setup required
# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for allenai/OLMoE-1B-7B-0924-GGUF to start chatting

Docker Model Runner
How to use allenai/OLMoE-1B-7B-0924-GGUF with Docker Model Runner:
```
docker model run hf.co/allenai/OLMoE-1B-7B-0924-GGUF:Q4_K_M
```

Lemonade

How to use allenai/OLMoE-1B-7B-0924-GGUF with Lemonade:

Pull the model

# Download Lemonade from https://lemonade-server.ai/
lemonade pull allenai/OLMoE-1B-7B-0924-GGUF:Q4_K_M

Run and chat with the model

lemonade run user.OLMoE-1B-7B-0924-GGUF-Q4_K_M

List all available models

lemonade list

GGUF version of https://huggingface.co/allenai/OLMoE-1B-7B-0924

@misc{muennighoff2024olmoeopenmixtureofexpertslanguage,
      title={OLMoE: Open Mixture-of-Experts Language Models}, 
      author={Niklas Muennighoff and Luca Soldaini and Dirk Groeneveld and Kyle Lo and Jacob Morrison and Sewon Min and Weijia Shi and Pete Walsh and Oyvind Tafjord and Nathan Lambert and Yuling Gu and Shane Arora and Akshita Bhagia and Dustin Schwenk and David Wadden and Alexander Wettig and Binyuan Hui and Tim Dettmers and Douwe Kiela and Ali Farhadi and Noah A. Smith and Pang Wei Koh and Amanpreet Singh and Hannaneh Hajishirzi},
      year={2024},
      eprint={2409.02060},
      archivePrefix={arXiv},
      primaryClass={cs.CL},
      url={https://arxiv.org/abs/2409.02060}, 
}

Downloads last month: 321

GGUF

Model size

7B params

Architecture

olmoe

Hardware compatibility

2-bit

3-bit

4-bit

5-bit

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8-bit

16-bit

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Dataset used to train allenai/OLMoE-1B-7B-0924-GGUF

Collection including allenai/OLMoE-1B-7B-0924-GGUF

OLMoE (November 2024)

Collection

Artifacts for open mixture-of-experts language models. • 13 items • Updated Dec 23, 2025 • 31

Paper for allenai/OLMoE-1B-7B-0924-GGUF

OLMoE: Open Mixture-of-Experts Language Models

Paper • 2409.02060 • Published Sep 3, 2024 • 81