FMLLM: 4mb training data, 100mb model, Fibonacci embeddings, near-coherent. WTF? (github.com)

I found some weird results when messing around with different embeddings in text generation.

I'm not sure if this is meaningful, and - if anyone on here is interested - I could use some help figuring out what's going on.

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