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
File size: 542 Bytes
d4121b4 7aa0cc9 d4121b4 7aa0cc9 d4121b4 7aa0cc9 d4121b4 7aa0cc9 d4121b4 7aa0cc9 d4121b4 7aa0cc9 d4121b4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | {
"model_type": "custom",
"architectures": [
"TinyLM"
],
"vocab_size": 2048,
"d_model": 80,
"hidden_size": 80,
"num_hidden_layers": 4,
"num_attention_heads": 4,
"ffn_mult": 4,
"intermediate_size": 320,
"max_position_embeddings": 80,
"positional_encoding": "rope",
"rope_theta": 10000.0,
"normalization": "rmsnorm",
"activation_function": "gelu",
"tie_word_embeddings": true,
"num_parameters": 471760,
"task": "function_calling_router",
"allowed_tools": [
"web_search"
]
} |