Instructions to use MrDevolver/TinyR1-32B-Preview-Q2_K-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MrDevolver/TinyR1-32B-Preview-Q2_K-GGUF with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("MrDevolver/TinyR1-32B-Preview-Q2_K-GGUF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use MrDevolver/TinyR1-32B-Preview-Q2_K-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 MrDevolver/TinyR1-32B-Preview-Q2_K-GGUF:Q2_K # Run inference directly in the terminal: llama cli -hf MrDevolver/TinyR1-32B-Preview-Q2_K-GGUF:Q2_K
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf MrDevolver/TinyR1-32B-Preview-Q2_K-GGUF:Q2_K # Run inference directly in the terminal: llama cli -hf MrDevolver/TinyR1-32B-Preview-Q2_K-GGUF:Q2_K
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 MrDevolver/TinyR1-32B-Preview-Q2_K-GGUF:Q2_K # Run inference directly in the terminal: ./llama-cli -hf MrDevolver/TinyR1-32B-Preview-Q2_K-GGUF:Q2_K
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 MrDevolver/TinyR1-32B-Preview-Q2_K-GGUF:Q2_K # Run inference directly in the terminal: ./build/bin/llama-cli -hf MrDevolver/TinyR1-32B-Preview-Q2_K-GGUF:Q2_K
Use Docker
docker model run hf.co/MrDevolver/TinyR1-32B-Preview-Q2_K-GGUF:Q2_K
- LM Studio
- Jan
- Ollama
How to use MrDevolver/TinyR1-32B-Preview-Q2_K-GGUF with Ollama:
ollama run hf.co/MrDevolver/TinyR1-32B-Preview-Q2_K-GGUF:Q2_K
- Unsloth Desktop
- Docker Model Runner
How to use MrDevolver/TinyR1-32B-Preview-Q2_K-GGUF with Docker Model Runner:
docker model run hf.co/MrDevolver/TinyR1-32B-Preview-Q2_K-GGUF:Q2_K
- Lemonade
How to use MrDevolver/TinyR1-32B-Preview-Q2_K-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull MrDevolver/TinyR1-32B-Preview-Q2_K-GGUF:Q2_K
Run and chat with the model
lemonade run user.TinyR1-32B-Preview-Q2_K-GGUF-Q2_K
List all available models
lemonade list
- Atomic Chat
Download tinyr1-32b-preview-q2_k.gguf from MrDevolver/TinyR1-32B-Preview-Q2_K-GGUF: direct link, hf CLI and curl.
- Browser
- Download file 12.3 GB
-
https://huggingface.co/MrDevolver/TinyR1-32B-Preview-Q2_K-GGUF/resolve/main/tinyr1-32b-preview-q2_k.gguf
- Command line
-
hf download hf://MrDevolver/TinyR1-32B-Preview-Q2_K-GGUF/tinyr1-32b-preview-q2_k.gguf
-
curl -L -o tinyr1-32b-preview-q2_k.gguf https://huggingface.co/MrDevolver/TinyR1-32B-Preview-Q2_K-GGUF/resolve/main/tinyr1-32b-preview-q2_k.gguf
12.3 GB
- Xet hash:
- d2273dcb41f7312c878a6c7b80aca77bcaf3120c0de485621998861e63382810
- Size of remote file:
- 12.3 GB
- SHA256:
- 6f4bf41291ca99d9f401e08972929076ccdb4f599888023e057db8f0965aef5e
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