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README.md
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<img src="assets/banner.jpg" alt="Logo" style="border-radius: 30px; width: 100%;">
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Energy-efficient kernels & inference engine for phones.
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## Why Cactus?
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Simply replace the weight path `tests/test_engine.cpp` with your choice.
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## Roadmap:
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- Llama, LFM, SmolVLM, Whisper, Kitten, Neuphonic
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- Python tools for porting any Torch/JAX to cactus
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- GPTQ & NPU/DSP/ISP for high-end phones
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## Limitations
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While Cactus can be used for all Apple devices including Macbooks, for computers/AMD/Intel/Nvidia generally,
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please use HuggingFace, Llama.cpp, Ollama, vLLM, MLX. They're built for those, support x86, and are all
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## Contributing
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We welcome contributions! Please see our [CONTRIBUTING.md](CONTRIBUTING.md) for guidelines.
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Energy-efficient kernels & inference engine for phones.
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## Why Cactus?
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Simply replace the weight path `tests/test_engine.cpp` with your choice.
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## Limitations
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While Cactus can be used for all Apple devices including Macbooks, for computers/AMD/Intel/Nvidia generally,
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please use HuggingFace, Llama.cpp, Ollama, vLLM, MLX. They're built for those, support x86, and are all
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