The Gen-1 adapter's FFN is reconstructed by
cross-breeding Qwen3-4B FFN with
Gemma4-E4B FFN (ratio 0.15)
, then the attention is re-healed (VIDRAFT) to adapt
to the fused FFN. This carries the Gen-1 attention forward while blending a second
model's knowledge — so the result is
not reducible to any single parent
.
Evaluation (same harness, base zero-shot, KMMLU 3 subjects / 90Q)
model
KMMLU
stage
Qwen3-4B (original)
13.3%
base
Gemma4-E4B (base)
26.7%
base
Darwin-Chimera Gen1
27.1%*
base
fused raw (pre re-heal)
22.2%
intermediate
Darwin-V9 (this)
27.8%
base
* Gen1 measured on 6 subjects. All numbers are
base zero-shot
— instruction-following
quality is expected from a later SFT stage (cf. Gemma4-E4B base 26.7% → it 69.4%).
→ After blending 15% Gemma4 FFN, performance is
maintained / slightly above
the
Gen-1 baseline and Gemma4-E4B base. Gemma knowledge is visibly incorporated
(multilingual facts, "Germany is Berlin / Italy is ..."), and the intermediate English
degradation is recovered by re-healing.
Known limitations
Some Korean repetition remains in greedy single-shot generation → to be resolved by SFT.
Absolute scores are base-level; this is a
research backbone
, not a production/instruct model.
License
Gemma Terms of Use
(Gemma4-E4B weights are blended in) + Apache 2.0 (Qwen3-4B).
Built on
Qwen/Qwen3-4B
and
google/gemma-4-E4B
.
Runs of FINAL-Bench Darwin-V9-Chimera-4B on huggingface.co
47
Total runs
0
24-hour runs
11
3-day runs
16
7-day runs
16
30-day runs
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