The Thinker of justsumguy/Gander-ablated, quantised with NVIDIA ModelOpt 0.46.1, plus the unmodified BF16 Talker. The Thinker is 7.2 GB and the Talker 0.7 GB. The abliteration details and numbers are on the BF16 page. In short: heretic ARA branch, ARA-LoRA rank 128, trial 4, refusals 98 → 7 of 100, KL 0.128 on recheck, no healing applied. talker/ is BF16 and identical to the BF16 repository's. - llm calibration: 256 samples × 512 tokens of tatsu-lab/alpaca (shuffled, seed 0), run through the extracted text tower. Mean NLL on 8 calibration chats: BF16 4.335, NVFP4 fake-quant 4.408 (+0.073). - vpm calibration: 80 images from johnowhitaker/imagenette2-320. Three quarters were unsliced; one…
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Jared H
justsumguy
Models in Library4
Datasets in Library0
Models on Hugging Face4
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Models
quantised with NVIDIA ModelOpt 0.46.1. It is 9.1 GB on disk. The abliteration details and numbers are on that page. In short: heretic ARA branch, ARA-LoRA rank 128, trial 83, refusals 98 → 4 of 100, KL 0.249 on recheck, no healing applied. - llm calibration: 256 samples × 512 tokens of tatsu-lab/alpaca (shuffled, seed 0), run through the extracted text tower. Mean NLL on 8 calibration chats: BF16 3.941, NVFP4 fake-quant 4.065 (+0.123). - vpm calibration: 80 images from johnowhitaker/imagenette2-320. Three quarters were unsliced; one quarter used maxslicenums=4. - vpm held-out check (16 images): - One RTX 5060 Ti 16 GB (SM120) and one RTX 3050 Ti Laptop 4 GB (SM86), with lmhead on CPU during…
Gander-Omni/Gander, release Gander-v63-Unit8 on MiniCPM-o 4.5, with refusal behaviour reduced by abliteration of the Thinker's language tower. It is BF16 and keeps upstream's layout, thinker/ and talker/, so it drops into the Gander runtime the same way as the upstream release. An NVFP4 build is at Only the Thinker's language tower (llm., Qwen3-8B shape, 36 layers). The Thinker's vision tower, audio tower, resampler and audio projection are upstream's, unmodified. So are the Talker (talker/) and its token2wav assets. - 72 matrices were changed: selfattn.oproj and mlp.downproj in all 36 layers. - The largest relative change is ‖ΔW‖/‖W‖ = 0.135. - The language tower was extracted as a…
The Realtime-Venus-Omni checkpoint from inclusionAI/Realtime-Venus (itself a fine-tune of openbmb/MiniCPM-o-45), with refusal behaviour reduced by abliteration of the language tower. BF16, same file layout and remote code as upstream. An NVFP4 build is at Only the language tower (llm., Qwen3-8B shape, 36 layers). The vision tower, audio tower, resampler, audio projection, TTS talker and token2wav assets are upstream's, unmodified. - 72 matrices were changed: selfattn.oproj and mlp.downproj in all 36 layers. - The largest relative change is ‖ΔW‖/‖W‖ = 0.379. The upstream sample media (assets/sample1real.mp4, assets/speechin.mp4) are not included. - The language tower was extracted as a…