LlamaEdge compatible quants for SmolVLM2 models.
AI & ML interests
Run open source LLMs across CPU and GPU without changing the binary in Rust and Wasm locally!
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Run Open source LLMs and create OpenAI-compatible API services for the Llama2 series of LLMs locally With LlamaEdge!
Give it a try
Run a single command in your command line terminal.
bash <(curl -sSfL 'https://raw.githubusercontent.com/LlamaEdge/LlamaEdge/main/run-llm.sh') --interactive
Follow the on-screen instructions to install the WasmEdge Runtime and download your favorite open-source LLM. Then, choose whether you want to chat with the model via the CLI or via a web UI.
See it in action | GitHub | Docs
Why?
LlamaEdge, powered by Rust and WasmEdge, provides a strong alternative to Python in AI inference.
- Lightweight. The total runtime size is 30MB.
- Fast. Full native speed on GPUs.
- Portable. Single cross-platform binary on different CPUs, GPUs, and OSes.
- Secure. Sandboxed and isolated execution on untrusted devices.
- Container-ready. Supported in Docker, containerd, Podman, and Kubernetes.
Learn more
Please visit the LlamaEdge project to learn more.
Collections
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models
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second-state/DeepSeek-R1-0528-Qwen3-8B-GGUF
Text Generation
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234
second-state/Osmosis-Structure-0.6B-GGUF
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1.17k
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2
second-state/SmolVLM2-2.2B-Instruct-GGUF
Image-Text-to-Text
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414
second-state/SmolVLM2-500M-Video-Instruct-GGUF
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190
second-state/SmolVLM2-256M-Video-Instruct-GGUF
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118
second-state/SeaLLMs-Audio-7B-GGUF
Audio-Text-to-Text
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112
second-state/Qwen2-Audio-7B-Instruct-GGUF
Audio-Text-to-Text
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161
second-state/moxin-reasoning-7b-GGUF
Updated
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228
second-state/moxin-instruct-7b-GGUF
Updated
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237
second-state/medgemma-4b-it-GGUF
Image-Text-to-Text
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667
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datasets
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