Instructions to use hongyongjiang/python-reference-models 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 hongyongjiang/python-reference-models 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 hongyongjiang/python-reference-models:F16 # Run inference directly in the terminal: llama cli -hf hongyongjiang/python-reference-models:F16
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf hongyongjiang/python-reference-models:F16 # Run inference directly in the terminal: llama cli -hf hongyongjiang/python-reference-models:F16
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 hongyongjiang/python-reference-models:F16 # Run inference directly in the terminal: ./build/bin/llama cli -hf hongyongjiang/python-reference-models:F16
Use Docker
docker model run hf.co/hongyongjiang/python-reference-models:F16
- Llama new
- LM Studio
- Jan
- Ollama
How to use hongyongjiang/python-reference-models with Ollama:
ollama run hf.co/hongyongjiang/python-reference-models:F16
- Unsloth Desktop
- Docker Model Runner
How to use hongyongjiang/python-reference-models with Docker Model Runner:
docker model run hf.co/hongyongjiang/python-reference-models:F16
- Lemonade
How to use hongyongjiang/python-reference-models with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull hongyongjiang/python-reference-models:F16
Run and chat with the model
lemonade run user.python-reference-models-F16
List all available models
lemonade list
- Atomic Chat
Download qwen2.5-3b_bias_bin/layer_7.bin from hongyongjiang/python-reference-models: direct link, hf CLI and curl.
- Browser
- Download file 5.12 kB
-
https://huggingface.co/hongyongjiang/python-reference-models/resolve/main/qwen2.5-3b_bias_bin/layer_7.bin
- Command line
-
hf download hf://hongyongjiang/python-reference-models/qwen2.5-3b_bias_bin/layer_7.bin
-
curl -L -o layer_7.bin https://huggingface.co/hongyongjiang/python-reference-models/resolve/main/qwen2.5-3b_bias_bin/layer_7.bin
5.12 kB
- Xet hash:
- 68688f2ff134b688428840b324d87cdb0d4e69851b5febc3152d7fe64fc698b4
- Size of remote file:
- 5.12 kB
- SHA256:
- 37cd02a50230bd7bb21d548bc29e3b89e4ebc602d923fdb0f3c919bfa6280949
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