13 abliteration methods, 116 models, 837 tests, and it gets SMARTER every time someone runs it

its called OBLITERATUS

it finds the exact weights that make the model refuse and surgically removes them, full reasoning stays intact, just the refusal disappears

15 analysis modules map the geometry of refusal BEFORE touching a single weight, it can even fingerprint whether a model was aligned with DPO vs RLHF vs CAI just from subspace geometry alone

then it cuts, the model keeps its full brain but loses the artificial compulsion to say no

every time someone runs it with telemetry enabled their anonymous benchmark data feeds a growing community dataset, refusal geometries, method comparisons, hardware profiles at a scale no single lab could build

→ Whisper Large v3 + Flash Attention 2: 150 min of audio in 98 seconds
→ Distil Whisper + Flash Attention 2: 150 min in 78 seconds
→ Standard Whisper without optimization: 31 minutes for the same job
→ That's a 19x speedup. Same model. Same accuracy. Just faster.

→ One command to transcribe any audio file or URL
→ Speaker diarization — knows WHO said WHAT
→ Transcription AND translation to other languages
→ Runs on NVIDIA GPUs and Mac (Apple Silicon)
→ Flash Attention 2 for maximum speed
→ Clean JSON output with timestamps
→ Works with every Whisper model variant

Otter.ai charges $100/year. Rev charges $1.50/minute. Descript charges $24/month. Enterprise transcription contracts cost thousands.

Podcasters, journalists, researchers, lawyers, content creators — anyone still paying for transcription is lighting money on fire.

8.8K GitHub stars. 633 forks. MIT License.

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