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
Commit History
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ci(catalog): update package catalog with 10 releases
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ci(catalog): update package catalog with 4 releases
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feat(catalog): bump knowledge-facts to v3.0.0 and add knowledge-world-heritage v2.0.0
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feat(tools): upload modular package models/catalog.json
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feat(knowledge): upload verified RAG database models/catalog.json
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catalog: v1.0.6 with live phone GPS auto-resolution in map CLI
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catalog: v1.0.5 with Traccar Client OsmAnd GPS support
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models: add ONNX acoustic wakeword models
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catalog: v1.0.4 with native C++ SilentWake and wakeword-models
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Upload models/catalog.json with huggingface_hub
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Upload models/catalog.json with huggingface_hub
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Register modular feature tools in catalog
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Register map-egypt (nationwide 479MB SQLite RTree) in catalog
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feat: publish models/manifest.json reference
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feat: publish models/catalog.json for edge package manager
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