Text Generation
Safetensors
GGUF
English
Arabic
qwen2
conversational
small-language-model
edge-ai
raspberry-pi
arm
lora
Instructions to use srmortal/SilentVision-52M 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 srmortal/SilentVision-52M 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 srmortal/SilentVision-52M:Q4_K_M # Run inference directly in the terminal: llama cli -hf srmortal/SilentVision-52M:Q4_K_M
Install from WinGet (Windows)
winget install llama.cpp # Start a local OpenAI-compatible server with a web UI: llama serve -hf srmortal/SilentVision-52M:Q4_K_M # Run inference directly in the terminal: llama cli -hf srmortal/SilentVision-52M:Q4_K_M
Build from source code
git clone https://github.com/ggml-org/llama.cpp.git cd llama.cpp cmake -B build cmake --build build -j --target llama-app # Start a local OpenAI-compatible server with a web UI: ./build/bin/llama serve -hf srmortal/SilentVision-52M:Q4_K_M # Run inference directly in the terminal: ./build/bin/llama cli -hf srmortal/SilentVision-52M:Q4_K_M
Use Docker
docker model run hf.co/srmortal/SilentVision-52M:Q4_K_M
- Llama new
- LM Studio
- Jan
- vLLM
How to use srmortal/SilentVision-52M with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "srmortal/SilentVision-52M" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "srmortal/SilentVision-52M", "messages": [ { "role": "user", "content": "What is the capital of France?" } ] }'Use Docker
docker model run hf.co/srmortal/SilentVision-52M:Q4_K_M
- Ollama
How to use srmortal/SilentVision-52M with Ollama:
ollama run hf.co/srmortal/SilentVision-52M:Q4_K_M
- Unsloth Desktop
- Docker Model Runner
How to use srmortal/SilentVision-52M with Docker Model Runner:
docker model run hf.co/srmortal/SilentVision-52M:Q4_K_M
- Lemonade
How to use srmortal/SilentVision-52M with Lemonade:
Pull the model
# Download Lemonade from https://lemonade-server.ai/ lemonade pull srmortal/SilentVision-52M:Q4_K_M
Run and chat with the model
lemonade run user.SilentVision-52M-Q4_K_M
List all available models
lemonade list
- Atomic Chat
Download slice_metadata.json from srmortal/SilentVision-52M: direct link, hf CLI and curl.
- Browser
- Download file 247 Bytes
-
https://huggingface.co/srmortal/SilentVision-52M/resolve/main/slice_metadata.json
- Command line
-
hf download hf://srmortal/SilentVision-52M/slice_metadata.json
-
curl -L -o slice_metadata.json https://huggingface.co/srmortal/SilentVision-52M/resolve/main/slice_metadata.json
247 Bytes
| { | |
| "base_model": "Qwen/Qwen2.5-0.5B-Instruct", | |
| "original_layers": 24, | |
| "sliced_layers": 3, | |
| "original_vocab_size": 151936, | |
| "sliced_vocab_size": 8192, | |
| "total_parameters": 52078080, | |
| "parameter_millions": 52.08, | |
| "missing_tokens": 14004 | |
| } |