Text Generation
PEFT
Safetensors
gemma-4
kan
kahn-kalai
jepa
lcm
self-correction
checkpoint-readiness
Instructions to use GetGenetica/jearx-gemma4-e2b-p07-l4-l13-lora-aligned with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use GetGenetica/jearx-gemma4-e2b-p07-l4-l13-lora-aligned with PEFT:
Task type is invalid.
- Notebooks
- Google Colab
- Kaggle
P07 L4/L13 KAN-Aware Adapter Target
This repository is a GetGenetica-owned metadata shell for the P07 train-first adapter target. It intentionally does not include adapter weights yet.
The current state is:
- Target repo:
GetGenetica/jearx-gemma4-e2b-p07-l4-l13-lora-aligned - Required weight file:
adapter_model.safetensors - Expected hidden dimension:
1536 - Observed adapter hidden dimension:
None - Adapter weight state:
blocked_missing_adapter_model_safetensors - Merge allowed today:
False
Canonical Target Modules
model.language_model.layers.4.self_attn.q_projmodel.language_model.layers.4.self_attn.v_projmodel.language_model.layers.13.self_attn.q_projmodel.language_model.layers.13.self_attn.v_proj
Current Attach Blockers
missing_adapter_model.safetensorsmissing_observed_dim=1536missing_same_checkpoint_task_ablation
Claim Boundary
This package proves only that the target repo, target layers, target modules, and safetensors policy are explicit. It is not a trained adapter, not a model merge, not a same-checkpoint task ablation, and not an uplift claim.
Next Required Evidence
- Train the UB11 L4/L13 adapter against the declared base checkpoint.
- Save
adapter_model.safetensorsonly, with no legacy.bin,.pt, or.pthweight artifacts. - Verify observed adapter dimension is
1536. - Verify the safetensors header contains LoRA A/B tensor keys for the exact L4/L13 q/v modules above.
- Run same-checkpoint paired task ablation before any promotion or public quality claim.
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