Instructions to use QuantFactory/Barcenas-14b-Phi-3-medium-ORPO-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 QuantFactory/Barcenas-14b-Phi-3-medium-ORPO-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 QuantFactory/Barcenas-14b-Phi-3-medium-ORPO-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf QuantFactory/Barcenas-14b-Phi-3-medium-ORPO-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 QuantFactory/Barcenas-14b-Phi-3-medium-ORPO-GGUF:Q4_K_M # Run inference directly in the terminal: llama cli -hf QuantFactory/Barcenas-14b-Phi-3-medium-ORPO-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 QuantFactory/Barcenas-14b-Phi-3-medium-ORPO-GGUF:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf QuantFactory/Barcenas-14b-Phi-3-medium-ORPO-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 QuantFactory/Barcenas-14b-Phi-3-medium-ORPO-GGUF:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf QuantFactory/Barcenas-14b-Phi-3-medium-ORPO-GGUF:Q4_K_M
Use Docker
docker model run hf.co/QuantFactory/Barcenas-14b-Phi-3-medium-ORPO-GGUF:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use QuantFactory/Barcenas-14b-Phi-3-medium-ORPO-GGUF with Ollama:
ollama run hf.co/QuantFactory/Barcenas-14b-Phi-3-medium-ORPO-GGUF:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use QuantFactory/Barcenas-14b-Phi-3-medium-ORPO-GGUF with Docker Model Runner:
docker model run hf.co/QuantFactory/Barcenas-14b-Phi-3-medium-ORPO-GGUF:Q4_K_M
- Lemonade
How to use QuantFactory/Barcenas-14b-Phi-3-medium-ORPO-GGUF with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull QuantFactory/Barcenas-14b-Phi-3-medium-ORPO-GGUF:Q4_K_M
Run and chat with the model
lemonade run user.Barcenas-14b-Phi-3-medium-ORPO-GGUF-Q4_K_M
List all available models
lemonade list
- Atomic Chat
- Xet hash:
- effe490e50907352aead395ef5045b3d991e575eafbed5cc46d3640bccaf648a
- Size of remote file:
- 14.8 GB
- SHA256:
- 1d75808aa7c33f85bcccee1583ad46d21d89b2b98d127e22d64273db06f40353
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