| # Gemma 3 random-model configuration decision |
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| The source is `gemma-3-4b-it-Q4_K_M.gguf`. It identifies itself as |
| `general.architecture = gemma3` and uses 34 layers, hidden width 2560, FFN width |
| 10240, eight query heads, four KV heads, head dimension 256, sliding window |
| 1024, context 131072, linear RoPE scaling factor 8, and tied embeddings. |
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| The selected reduced geometry is six layers, hidden width 256, FFN width 1024, |
| four query heads, two KV heads, head dimension 64, sliding window 64, context |
| 128, and vocabulary 128. It preserves the FFN ratio of four, GQA ratio of two, |
| one complete five-sliding/one-full attention period, linear RoPE scaling, RMS |
| epsilon, four norm roles per layer, Q/K head norms, and tied embeddings. |
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| The source EOS token ID is 106 and remains 106. The synthetic HF tokenizer and |
| converter SentencePiece tokenizer both cover IDs `0..127` and represent |
| PAD/BOS/UNK/EOS as `0/2/3/106`. They are test tokenizers, not copies of the |
| source linguistic vocabulary. |
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| All matrix quantization axes used by the reduced model are divisible by 256. |
| The retained GGUF uses llama.cpp `Q4_K`, an alias for the mixed Q4_K_M profile, |
| without `--pure`. Actual tensor types are recorded after generation. |
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| The official Transformers 5.15.0 `Gemma3ForCausalLM` construction contains |
| 5,938,176 trainable parameters. Norm parameters are initialized to zero because |
| Gemma3 RMSNorm applies `1 + weight`; other one-dimensional parameters use their |
| model defaults and matrices use the deterministic tlfloat LCG64 equation. |
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