Instructions to use AlBarann/finemodel 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 AlBarann/finemodel 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 AlBarann/finemodel:Q4_K_M # Run inference directly in the terminal: llama cli -hf AlBarann/finemodel:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf AlBarann/finemodel:Q4_K_M # Run inference directly in the terminal: llama cli -hf AlBarann/finemodel: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 AlBarann/finemodel:Q4_K_M # Run inference directly in the terminal: ./llama-cli -hf AlBarann/finemodel: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 AlBarann/finemodel:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama-cli -hf AlBarann/finemodel:Q4_K_M
Use Docker
docker model run hf.co/AlBarann/finemodel:Q4_K_M
- LM Studio
- Jan
- Ollama
How to use AlBarann/finemodel with Ollama:
ollama run hf.co/AlBarann/finemodel:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use AlBarann/finemodel with Docker Model Runner:
docker model run hf.co/AlBarann/finemodel:Q4_K_M
- Lemonade
How to use AlBarann/finemodel with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull AlBarann/finemodel:Q4_K_M
Run and chat with the model
lemonade run user.finemodel-Q4_K_M
List all available models
lemonade list
- Atomic Chat
finemodel : GGUF
This model was finetuned and converted to GGUF format using Unsloth.
Example usage:
- For text only LLMs:
llama-cli -hf AlBarann/finemodel --jinja - For multimodal models:
llama-mtmd-cli -hf AlBarann/finemodel --jinja
Available Model files:
llama-3.1-8b.Q4_K_M.ggufThis was trained 2x faster with Unsloth
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docker model run hf.co/AlBarann/finemodel:Q4_K_M