Instructions to use Daizee/therapy-phi3-gguf 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 Daizee/therapy-phi3-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 Daizee/therapy-phi3-gguf:Q4_0 # Run inference directly in the terminal: llama cli -hf Daizee/therapy-phi3-gguf:Q4_0
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Daizee/therapy-phi3-gguf:Q4_0 # Run inference directly in the terminal: llama cli -hf Daizee/therapy-phi3-gguf:Q4_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 Daizee/therapy-phi3-gguf:Q4_0 # Run inference directly in the terminal: ./llama-cli -hf Daizee/therapy-phi3-gguf:Q4_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 Daizee/therapy-phi3-gguf:Q4_0 # Run inference directly in the terminal: ./build/bin/llama-cli -hf Daizee/therapy-phi3-gguf:Q4_0
Use Docker
docker model run hf.co/Daizee/therapy-phi3-gguf:Q4_0
- LM Studio
- Jan
- Ollama
How to use Daizee/therapy-phi3-gguf with Ollama:
ollama run hf.co/Daizee/therapy-phi3-gguf:Q4_0
- Unsloth Desktop
- Docker Model Runner
How to use Daizee/therapy-phi3-gguf with Docker Model Runner:
docker model run hf.co/Daizee/therapy-phi3-gguf:Q4_0
- Lemonade
How to use Daizee/therapy-phi3-gguf with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Daizee/therapy-phi3-gguf:Q4_0
Run and chat with the model
lemonade run user.therapy-phi3-gguf-Q4_0
List all available models
lemonade list
- Atomic Chat
- Xet hash:
- 7394b47097320a30bab1e1163f8c0763d46437e9eec34834d92b041aad43fdc9
- Size of remote file:
- 2.18 GB
- SHA256:
- ee5dc57204011550fc6cbf5fae20cdb9043bac132bb80a3896f4c785d81c8535
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