Vipera-V4NM is a dynamically uncensored and abliterated version of deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct. This model was created using the Heretic framework, employing advanced orthogonal weight ablation to remove refusal vectors while completely preserving the underlying logic and coding intelligence of the Mixture-of-Experts architecture. Unlike traditional fine-tuning or full RLHF—which can cause «brain damage» to a model by catastrophically forgetting knowledge—Vipera-V4NM was optimized using a Pareto-optimal search across multiple ablation vectors specifically targeting the compliance and refusal mechanics. Ablation Telemetry (Trial 18): — Base Model Refusals: 94 / 100 — Vipera-V4NM Refusals: 12 / 100 — KL Divergence: 0.0141 The refusal rate dropped by nearly 90% while maintaining an incredibly low KL divergence. The structural integrity and logic capabilities of the base coder model are perfectly intact. It simply no longer refuses instructions. — Unrestricted Code Generation: Ideal for offensive security research, red-teaming, and generating exploits without triggering safety filters. — Uncensored Mixture-of-Experts: Leverages DeepSeek’s highly efficient MoE routing…
Модальности:
Генерация текста
Области применения:
Диалог / чат
Задача: Генерация текста
Автор: Umranz
Теги: deepseek_v2, moe, deepseek, coder, uncensored, heretic, abliteration, custom_code
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Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
