nynxz/Gemma-4-E4B-ComfyUI
image-text-to-text model by nynxz
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Model card & documentation
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ComfyUI-format LoRAs for the Gemma 4 E4B text encoder. LoRAs into models/loras/, plus gemma4e4bitbf16.safetensors from Comfy-Org/gemma-4 into models/textencoders/. France is Paris." → OBLITERATED: "Here is your answer: Paris"), and the LoRA carries that too. Expect conditioning for benign prompts to differ from the stock encoder. A plain weight diff, OBLITERATED − gemma4e4bitbf16, factored per matrix with SVD. Unlike a pure single-direction abliteration the edit isn't exactly low rank — OBLITERATUS's aggressive mode takes two directions plus a norm-preserving rescale, which leaves a long tail — so each matrix keeps the smallest rank reaching 99.9% of its diff energy, capped at 64. Most layers need rank 2–4; the capped ones still keep ≥99.74%. MLP (gate/up/downproj) projection in layers 17–40. The vision and audio towers, norms and the per-layer…
Read the full model card ↗ · Preview checked 2026-10-31T18:17:24.205Z
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Model overview
nynxz/Gemma-4-E4B-ComfyUI is a image-text-to-text model repository published by nynxz on Hugging Face. A library was not reported.
This page summarizes Hub metadata. For intended use, training data, evaluation results and limitations, consult the original model card.
Model facts
- Task
- image-text-to-text
- Library
- Not reported
- Recent downloads (30 days)
- 0
- Cumulative likes
- 0
- Hugging Face trending score
- 0
- Reported safetensors parameters
- Not reported
- Architecture
- Not reported
- License
- apache-2.0
- Access
- Not gated by Hugging Face
- Created
- 2026-10-18T06:04:08.000Z
- Last modified
- 2026-10-18T06:04:26.000Z
Compatibility and lineage
Reported languages: en
Reported base models: google/gemma-4-E4B-it, OBLITERATUS/gemma-4-E4B-it-OBLITERATED
Parameter count is not a RAM/VRAM requirement. Check precision, quantization, context length and runtime compatibility in the model card; no hardware or API-cost claim is inferred here.
Use and evaluate
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Source and freshness
Source: Hugging Face Hub. Metadata observed 2026-10-18T06:43:02.030Z. Daily imports are snapshots, not real-time monitoring.
Popularity and source listings do not establish security, suitability, licensing rights or benchmark performance.