LlamaEdge compatible quants for Tessa-T1 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.
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second-state/Tessa-T1-14B-GGUF
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second-state/Tessa-T1-7B-GGUF
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second-state/Tessa-T1-32B-GGUF
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second-state/Tessa-T1-3B-GGUF
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second-state/Llama-3.3-Swallow-70B-Instruct-v0.4-GGUF
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second-state/Mistral-Small-3.1-24B-Instruct-2503-GGUF
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second-state/gemma-3-12b-it-GGUF
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second-state/gemma-3-1b-it-GGUF
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second-state/gemma-3-27b-it-GGUF
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second-state/gemma-3-4b-it-GGUF
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