Can a decade-old computer with just 512MB of RAM and a single-core CPU actually think? In this video, we push the original 2014 Raspberry Pi to its physical limits by cross-compiling and running a 90-million parameter Falcon-H1-Tiny model locally. From bypassing ARMv6 instruction set limitations to managing critical memory bottlenecks like address space fragmentation, witness a deep dive into the engineering required to make modern edge AI a reality on vintage hardware.
🔗 Relevant Links
Falcon H1 Tiny Model Set: https://huggingface.co/tiiuae/Falcon-H1-Tiny-90M-Instruct-GGUF
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📌 Chapters:
00:00 Intro
00:44 Meet the Falcon H1 Tiny
01:10 The Magic Behind Falcon Miny: Hybrid Architecture
01:33 Quantization
02:22 The ARMv6 Challenge & Cross-Compilation
03:16 OS Optimization: Raspberry Pi OS Lite
04:53 Configuring and Building the Engine
06:05 Inference Test: The 2-Bit Quantization Struggle
07:32 Success: Running the 4-Bit and 8-Bit Models
08:41 Final Verdict: Is Portable AI Theoretically Possible?
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