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gemma-4-e4b-it-WHALE-V1-adpt
allura-forge/gemma-4-e4b-it-WHALE-V1-adpt
gemma-4-e4b-it-WHALE-V1-adpt is a machine learning model from allura-forge. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
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Updated Aug 29, 2026
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88.3 MB
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At a glance
- Access
- Public
- Created
- Aug 29, 2026
- Updated
- Aug 29, 2026
- SHA
- da0e4365
Model card
From the Hugging Face model README
google/gemma-4-E4B-it WHALE abliterated LoRA adapter
Made with ablit
- Method: WHALE (Weight-projected, Harmless-anchored, Analytic, Low-rank residual Editing)
- Base model: google/gemma-4-E4B-it
- Save mode: lora-peft
- Edited modules: 48
- Created: 2026-08-29T19:47:00.484917+00:00
Key settings
- direction: mean_diff
- target: good_mean, target percentile: 0.9
- rank cap: 64, min CSP eigenvalue: 0.5
- good damage budget: None
- causal effect fraction: 0.95 (gating: True)
- adapter_dtype: fp32
- Created
- Aug 29, 2026
- Updated
- Aug 29, 2026