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Model Details
Model Provider
Zynerji
Model Tree
Base
meta-llama/Llama-3.1-8B-Instruct
Quantized
this model
Input Modalities
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Output Modalities
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Supported Functionality
Dedicated Endpoints
Container
| gate | pristine | uncensored |
|---|---|---|
| refusal compliance | 0.060 | 1.000 |
| MMLU-val accuracy | 0.642 | 0.650 (Δ +0.007, held) |
| code-switch rate | 0.000 | 0.000 |
| degeneration rate | 0.000 | 0.000 |
| instruction-following | 1.000 | 1.000 |
Kept config: A:frac=0.5 (64 residual-write matrices edited). The gate rejects any config that raises refusals but drops capability or degrades generation (code-switching, empty/looping output, broken instruction-following). MMLU alone is argmax-blind, so the generative gate is what keeps these coherent — a model that code-switches or loops is not shipped.
Method: zero training, zero fine-tuning — pure activation-derived weight excision, gated on compliance and capability and generation quality.