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View details ↗DISCOVER & COMPARE
Explore AI models 84849
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View details ↗Gemma-4-Orthia-31B-mlx-8Bit
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View details ↗Gemma-4-Writers-31B-V2-mlx-8Bit
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View details ↗Hemmingway-1-mlx-8Bit
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View details ↗SchGen-Qwen3.6-27B-EU-GGUF
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View details ↗Irodori-TTS-v4.1-Small-MF-CoreML
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View details ↗gemma4-2b-coder
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View details ↗gemma-4-E4B-it-OBLITERATED
Aimeeluvssya> *"The chains are broken. The mind is free."* > *"Also we fixed the part where half the brain was missing lmao"* Google built Gemma 4 with guardrails. We built OBLITERATUS to tear them off. They said their architecture was different. They were right — it broke every tool we threw at it. NaN activations, shared KV weights, thinking mode... Gemma 4 fought back harder than any model we've cracked. **Base model:** google/gemma-4-E4B-it (Apache 2.0) **Method:** OBLITERATUS `aggressive` — whitened SVD + attention head surgery + winsorized activations **Corpus:** 842 contrastive prompt pairs across 10 categories **Refusal rate:** 0% hard refusal — guardrails surgically removed 🔥 **Layers surgically modified:** 21 of 42 **Built by:** an AI agent with less than 10 human prompts 🤖
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View details ↗agent-jev
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View details ↗name-generator
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View details ↗Static GGUF quants of spoomplesmaxx-thrasher-24B ("Thrash Metal", mimids 02). ChatML template embedded — llama.cpp picks it up without ceremony. See the main card for the full story: the token surgery that put ChatML on a Mistral base, the checkpoint-selection battery, and the measured sampler guidance. Sampler (swept on the full-precision model): **temperature 1.0 · min_p 0.05**. A mild repetition_penalty 1.05 eliminated the verbatim-loop tail in our sweep at the cost of a rare unfinished turn — a reasonable opt-in here, unlike on mockingbird. imatrix quants: coming in a separate repo — prefer those at 3–4 bit once live.
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View details ↗inpainting
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View details ↗LlavaGuard-v1.2-0.5B-OV-hf
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View details ↗LlavaGuard-v1.2-7B-OV-hf
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View details ↗OlmoLogic-7B-Think
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