# Qwen3 tiny fixture configuration decision

The local 0.6B GGUF identifies itself as `general.architecture = qwen3` and
contains 28 uniform decoder layers. Its characteristic geometry is query width
twice the hidden width, KV width equal to hidden width, Q/K per-head norms, and an
FFN ratio of three.

The tiny fixture preserves those relationships with hidden width 128, four query
heads, two KV heads, head dimension 64, FFN width 384, two layers, context 128,
and RoPE base 1000000. All matrix quantization axes are multiples of 32.

The fixed Hugging Face implementation is Transformers 5.14.1
`Qwen3ForCausalLM`. The trainable parameter count is 508,800. The generated
package uses BF16 and tied token/output embeddings. The GGUF is derived from the
same BF16 values through a temporary F32 serialization and pinned Q4_0
quantization; the F32 intermediate is not retained.