Instructions to use allenai/OLMo-2-1124-7B-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use allenai/OLMo-2-1124-7B-GGUF with llama.cpp:
Install (macOS, Linux)
curl -LsSf https://llama.app/install.sh | sh # Start a local OpenAI-compatible server with a web UI: llama serve -hf allenai/OLMo-2-1124-7B-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf allenai/OLMo-2-1124-7B-GGUF:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf allenai/OLMo-2-1124-7B-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf allenai/OLMo-2-1124-7B-GGUF:Q4_K_M
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf allenai/OLMo-2-1124-7B-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf allenai/OLMo-2-1124-7B-GGUF:Q4_K_M
Use Docker
docker model run hf.co/allenai/OLMo-2-1124-7B-GGUF:Q4_K_M
- Llama new
- LM Studio
- Jan
- Ollama
How to use allenai/OLMo-2-1124-7B-GGUF with Ollama:
ollama run hf.co/allenai/OLMo-2-1124-7B-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use allenai/OLMo-2-1124-7B-GGUF with Docker Model Runner:
docker model run hf.co/allenai/OLMo-2-1124-7B-GGUF:Q4_K_M
- Lemonade
How to use allenai/OLMo-2-1124-7B-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull allenai/OLMo-2-1124-7B-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.OLMo-2-1124-7B-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Instruct version?
This is a base version, right?
Would love to have -Instruct GGUF.
Thanks!
Hey @KeyboardMasher , here's the link to instruct version: https://huggingface.co/allenai/OLMo-2-1124-7B-Instruct
We are working out some issues with the tokenization and its implications on the GGUF files (https://github.com/ggerganov/llama.cpp/pull/10535). We will put up official files when they are sorted out. In the meantime, you are welcome to use those instruct GGUFs if they work for you (with the caveat that they might not match the non-GGUF version).