Text Generation
Safetensors
GGUF
PyTorch
English
generic
custom
function-calling
tiny-model
edge-ai
tool-use
router
Instructions to use Safeeq/FCtiny 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 Safeeq/FCtiny 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 Safeeq/FCtiny # Run inference directly in the terminal: llama cli -hf Safeeq/FCtiny
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf Safeeq/FCtiny # Run inference directly in the terminal: llama cli -hf Safeeq/FCtiny
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 Safeeq/FCtiny # Run inference directly in the terminal: ./llama-cli -hf Safeeq/FCtiny
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 Safeeq/FCtiny # Run inference directly in the terminal: ./build/bin/llama-cli -hf Safeeq/FCtiny
Use Docker
docker model run hf.co/Safeeq/FCtiny
- LM Studio
- Jan
- vLLM
How to use Safeeq/FCtiny with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "Safeeq/FCtiny" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "Safeeq/FCtiny", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'Use Docker
docker model run hf.co/Safeeq/FCtiny
- Ollama
How to use Safeeq/FCtiny with Ollama:
ollama run hf.co/Safeeq/FCtiny
- Unsloth Desktop
- Docker Model Runner
How to use Safeeq/FCtiny with Docker Model Runner:
docker model run hf.co/Safeeq/FCtiny
- Lemonade
How to use Safeeq/FCtiny with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull Safeeq/FCtiny
Run and chat with the model
lemonade run user.FCtiny-{{QUANT_TAG}}List all available models
lemonade list
- Atomic Chat
Download tinyfc.gguf from Safeeq/FCtiny: direct link, hf CLI and curl.
- Browser
- Download file 1.09 MB
-
https://huggingface.co/Safeeq/FCtiny/resolve/main/tinyfc.gguf
- Command line
-
hf download hf://Safeeq/FCtiny/tinyfc.gguf
-
curl -L -o tinyfc.gguf https://huggingface.co/Safeeq/FCtiny/resolve/main/tinyfc.gguf
1.09 MB
- Xet hash:
- fd5f9be88ee560bdea437f382fa2a74e765d232bd834ba2b0906f8f85c078d3a
- Size of remote file:
- 1.09 MB
- SHA256:
- fdb75a41dc50fc9ee95814c37a146c858aef7174d3a2b39392d48a184eee2f34
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