Curious about on-device AI on Apple silicon (MLX) and building web & mobile apps.
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mlx-ios-toolcall
mlx-ios-toolcall PublicOn-device iOS assistant: a QLoRA-tuned LFM2.5-2.6B tool-calling LLM runs on the iPhone via Apple MLX and drives real system actions.
Swift
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miniGPT
miniGPT PublicA from-scratch transformer in PyTorch — GQA, RoPE, QK-norm, SwiGLU, KV-cache.
Python
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lfm2-toolcalling-qlora
lfm2-toolcalling-qlora PublicBare QLoRA fine-tune of LFM2.5-2.6B for on-device tool calling (PEFT + TRL + bitsandbytes).
Python
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lfm2-mlx
lfm2-mlx PublicMerging Liquid AI's LFM2.5-2.6B with an external QLoRA fine-tuned tool-calling adapter, then converting and quantizing to an 8-bit MLX model for local Apple Silicon and future iOS integration.
Python
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