Instructions to use praxis-app/praxis-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 praxis-app/praxis-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 praxis-app/praxis-models:Q4_K_M # Run inference directly in the terminal: llama cli -hf praxis-app/praxis-models:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf praxis-app/praxis-models:Q4_K_M # Run inference directly in the terminal: llama cli -hf praxis-app/praxis-models: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 praxis-app/praxis-models:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf praxis-app/praxis-models:Q4_K_M
Use Docker
docker model run hf.co/praxis-app/praxis-models:Q4_K_M
- Llama new
- LM Studio
- Jan
- Ollama
How to use praxis-app/praxis-models with Ollama:
ollama run hf.co/praxis-app/praxis-models:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use praxis-app/praxis-models with Docker Model Runner:
docker model run hf.co/praxis-app/praxis-models:Q4_K_M
- Lemonade
How to use praxis-app/praxis-models with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull praxis-app/praxis-models:Q4_K_M
Run and chat with the model
lemonade run user.praxis-models-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Commit History
30 days ago
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add mt-hy-mt2-1.8b Q4_K_M gguf
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Add Qwen3-4B Q4_K_M GGUF (byte-for-byte from unsloth/Qwen3-4B-GGUF)
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Remove Qwen2.5-3B (superseded by Qwen3-4B per selection update)
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Add Qwen2.5-3B-Instruct Q4_K_M GGUF (byte-for-byte from Qwen/Qwen2.5-3B-Instruct-GGUF)
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Add Qwen3-ASR-0.6B int8 ONNX (byte-for-byte from modelscope zengshuishui/Qwen3-ASR-onnx)
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Add SaT sat-12l-sm mixed-io32 ONNX (desktop-exported, int8 emb + fp16 transformer + fp32 I/O) + XLM-R spm
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Add Qwen3-1.7B Q4_K_M GGUF (byte-for-byte redistribution of unsloth's quantization)
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Add SenseVoice int8 (byte-for-byte redistribution of upstream 2024-07-17 export)
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initial commit
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