A small proof-of-concept language model (not an LLM) that aims to incorporate latent-space prediction, internal state using recurrent trace units, and byte-by-byte output, built with MLX.
What is the jrz97619761/test-model-thing GitHub project? Description: "A small proof-of-concept language model (not an LLM) that aims to incorporate latent-space prediction, internal state using recurrent trace units, and byte-by-byte output, built with MLX.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.
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