Instructions to use mradermacher/OctoThinker-8B-Short-Base-i1-GGUF with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use mradermacher/OctoThinker-8B-Short-Base-i1-GGUF with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("mradermacher/OctoThinker-8B-Short-Base-i1-GGUF", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use mradermacher/OctoThinker-8B-Short-Base-i1-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 mradermacher/OctoThinker-8B-Short-Base-i1-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf mradermacher/OctoThinker-8B-Short-Base-i1-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 mradermacher/OctoThinker-8B-Short-Base-i1-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf mradermacher/OctoThinker-8B-Short-Base-i1-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 mradermacher/OctoThinker-8B-Short-Base-i1-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf mradermacher/OctoThinker-8B-Short-Base-i1-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 mradermacher/OctoThinker-8B-Short-Base-i1-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf mradermacher/OctoThinker-8B-Short-Base-i1-GGUF:Q4_K_M
Use Docker
docker model run hf.co/mradermacher/OctoThinker-8B-Short-Base-i1-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use mradermacher/OctoThinker-8B-Short-Base-i1-GGUF with Ollama:
ollama run hf.co/mradermacher/OctoThinker-8B-Short-Base-i1-GGUF:Q4_K_M
- Unsloth Studio
How to use mradermacher/OctoThinker-8B-Short-Base-i1-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 mradermacher/OctoThinker-8B-Short-Base-i1-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 mradermacher/OctoThinker-8B-Short-Base-i1-GGUF to start chatting
Using HuggingFace Spaces for Unsloth
# No setup required # Open https://huggingface.co/spaces/unsloth/studio in your browser # Search for mradermacher/OctoThinker-8B-Short-Base-i1-GGUF to start chatting
- Atomic Chat new
- Docker Model Runner
How to use mradermacher/OctoThinker-8B-Short-Base-i1-GGUF with Docker Model Runner:
docker model run hf.co/mradermacher/OctoThinker-8B-Short-Base-i1-GGUF:Q4_K_M
- Lemonade
How to use mradermacher/OctoThinker-8B-Short-Base-i1-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull mradermacher/OctoThinker-8B-Short-Base-i1-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.OctoThinker-8B-Short-Base-i1-GGUF-Q4_K_M
List all available models
lemonade list
- Xet hash:
- 080423d2b763e8bb5f57c4f3185e15d5ee120616fa0f9a23eaa4dbc1022ecf92
- Size of remote file:
- 2.16 GB
- SHA256:
- b24c88260a2a95b9f6c9548fbd09b3e6bd56b118addef30ab2083dd8c0ded5c0
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