Instructions to use danielhanchen/model3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use danielhanchen/model3 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("danielhanchen/model3", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- llama.cpp
How to use danielhanchen/model3 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 danielhanchen/model3:Q8_0 # Run inference directly in the terminal: llama cli -hf danielhanchen/model3:Q8_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf danielhanchen/model3:Q8_0 # Run inference directly in the terminal: llama cli -hf danielhanchen/model3:Q8_0
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 danielhanchen/model3:Q8_0 # Run inference directly in the terminal: ./llama-cli -hf danielhanchen/model3:Q8_0
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 danielhanchen/model3:Q8_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf danielhanchen/model3:Q8_0
Use Docker
docker model run hf.co/danielhanchen/model3:Q8_0
- LM Studio
- Jan
- Ollama
How to use danielhanchen/model3 with Ollama:
ollama run hf.co/danielhanchen/model3:Q8_0
- Unsloth Desktop
- Docker Model Runner
How to use danielhanchen/model3 with Docker Model Runner:
docker model run hf.co/danielhanchen/model3:Q8_0
- Lemonade
How to use danielhanchen/model3 with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull danielhanchen/model3:Q8_0
Run and chat with the model
lemonade run user.model3-Q8_0
List all available models
lemonade list
- Atomic Chat
Download tokenizer.model from danielhanchen/model3: direct link, hf CLI and curl.
- Browser
- Download file 493 kB
-
https://huggingface.co/danielhanchen/model3/resolve/main/tokenizer.model
- Command line
-
hf download hf://danielhanchen/model3/tokenizer.model
-
curl -L -o tokenizer.model https://huggingface.co/danielhanchen/model3/resolve/main/tokenizer.model
493 kB
- Xet hash:
- 32726c94d96b1a5c442963faa3a900decf397fe67b5c530097a9f8b2506c63b6
- Size of remote file:
- 493 kB
- SHA256:
- dadfd56d766715c61d2ef780a525ab43b8e6da4de6865bda3d95fdef5e134055
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