"I built a small language model in Minecraft using no command blocks or datapacks! The model has 5,087,280 parameters, trained in Python on the TinyChat dataset of basic English conversations. It has an embedding dimension of 240, vocabulary of 1920 tokens, and consists of 6 layers. The context window size is 64 tokens, which is enough for (very) short conversations. Most weights were quantized to 8 bits, although the embedding and LayerNorm weights are stored at 18 and 24 bits respectively. The quantized weights are linked below; they are split into hundreds of files corresponding to the separate sections of ROM in the build. The build occupies a volume of 1020x260x1656 blocks. Due to its immense size, the Distant Horizons mod was used to capture footage of the whole build; this res...
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