# SmolLM3 random-model configuration decision

The source package at `/home/codex/llm_models/hfmodels/SmolLM3-3B` identifies
itself as `SmolLM3ForCausalLM` with 3,075,098,624 parameters. The generated
fixture is published as `smollm3-random-model`.

The source has hidden width 2048, FFN width 11008, 36 layers, 16 query heads,
four KV heads, context 65536, RoPE base 5000000, and tied embeddings. Its
attention schedule repeats three RoPE layers followed by one no-RoPE layer.

The reduced geometry uses hidden width 256, FFN width 1376, four layers, four
query heads, one KV head, head dimension 64, context 128, and vocabulary 128.
This preserves:

- the query/KV head ratio of four;
- the exact FFN ratio of 43/8;
- one complete three-RoPE/one-no-RoPE schedule;
- RoPE base, RMS epsilon, bias settings, and tied embeddings;
- matrix quantization axes divisible by 32 for Q4_0.

The official Transformers 5.14.1 `SmolLM3ForCausalLM` construction contains
4,917,504 trainable parameters. The retained Hugging Face package is BF16. The
GGUF path uses the pinned official llama.cpp SmolLM3 converter, a temporary F16
GGUF, and Q4_0 quantization.

The Hugging Face package contains the deterministic 128-token `tokenizer.json`.
For official converter compatibility it also carries the existing 128-token
SentencePiece auxiliary artifact whose EOG set is `{1}`. Both are synthetic;
direct token IDs are the numerical reference interface.