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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 great!
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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