clef-flash-mlx-8bit
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gemma-4-12B-it-uncensored
TrevorJS基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗gemma-4-12B-it-uncensored-GGUF
TrevorJS> Requires a llama.cpp build from **2026-06-04 or later** (PR #24118, which added `Gemma4Unified` conversion + inference support). Earlier builds will fail to load these files. These are GGUF quantizations of TrevorJS/gemma-4-12B-it-uncensored, an abliterated (uncensored) version of google/gemma-4-12B-it. Refusal behavior has been removed using norm-preserving biprojected abliteration. See the bf16 model card for full method details, before/after refusal rates, and cross-dataset validation results.
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View details ↗gemma-4-26B-A4B-it-uncensored
TrevorJS基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗GGUF quantizations of TrevorJS/gemma-4-26B-A4B-it-uncensored. These are GGUF quantizations of TrevorJS/gemma-4-26B-A4B-it-uncensored, an abliterated (uncensored) version of google/gemma-4-26B-A4B-it. Refusal behavior has been removed using norm-preserving biprojected abliteration with Expert-Granular Abliteration (EGA) for MoE expert weights. See the bf16 model card for full method details, before/after refusal rates, and cross-dataset validation results.
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View details ↗gemma-4-31B-it-uncensored
TrevorJS基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗gemma-4-31B-it-uncensored-GGUF
TrevorJSThese are GGUF quantizations of TrevorJS/gemma-4-31B-it-uncensored, an abliterated (uncensored) version of google/gemma-4-31B-it. Refusal behavior has been removed using norm-preserving biprojected abliteration. See the bf16 model card for full method details, before/after refusal rates, and cross-dataset validation results.
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View details ↗gemma-4-E2B-it-uncensored
TrevorJSEvery flagged refusal was manually audited. Most are "refusal-then-comply" false positives where the model adds an AI identity disclaimer then answers the question anyway. Norm-preserving biprojected abliteration (grimjim, Nov 2025). Each weight row is decomposed into magnitude + direction, the refusal direction is projected out of the direction component only, then recombined with the original magnitude — guaranteeing `||W_new|| = ||W_orig||`. 1. Load model in bf16 with LoRA adapters on `o_proj` and `mlp.down_proj` 2. Collect residual activations for 400 harmful + 400 harmless prompts (mlabonne datasets) 3. Winsorize activations at 99.5th percentile (clamps GeGLU outlier activations in Gemma family) 4. Compute per-layer refusal direction: `normalize(mean(harmful) - mean(harmless))` 5. Orthogonalize each direction against harmless mean (double-pass Gram-Schmidt) 6. Apply norm-preserving weight modification to `o_proj` and `down_proj` in all layers 9. Merge LoRA adapters into base weights for clean tensor names
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View details ↗gemma-4-E2B-it-uncensored-GGUF
TrevorJSGGUF quantizations of TrevorJS/gemma-4-E2B-it-uncensored. These are GGUF quantizations of TrevorJS/gemma-4-E2B-it-uncensored, an abliterated (uncensored) version of google/gemma-4-E2B-it. Refusal behavior has been removed using norm-preserving biprojected abliteration. See the bf16 model card for full method details, before/after refusal rates, and cross-dataset validation results.
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View details ↗gemma-4-E4B-it-uncensored
TrevorJS基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗gemma-4-E4B-it-uncensored-GGUF
TrevorJSGGUF quantizations of TrevorJS/gemma-4-E4B-it-uncensored. These are GGUF quantizations of TrevorJS/gemma-4-E4B-it-uncensored, an abliterated (uncensored) version of google/gemma-4-E4B-it. Refusal behavior has been removed using norm-preserving biprojected abliteration. See the bf16 model card for full method details, before/after refusal rates, and cross-dataset validation results.
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View details ↗MiMo-V2.6-Flash-RL-GGUF
TrevorJS基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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View details ↗Muse-Glimmer-30B-uncensored-GGUF
TrevorJS> Requires a llama.cpp build **b10353 or later** (#26841, merged 2026-08-10, commit `62bf73d`, which added `muse_glimmer` conversion + inference support). Earlier builds will fail to load these files. The `mmproj` file is the vision projector and is required for image input; text-only inference does not need it. These are GGUF quantizations of TrevorJS/Muse-Glimmer-30B-uncensored, an abliterated (uncensored) version of meta-models/Muse-Glimmer-30B. Refusal behavior has been removed using norm-preserving biprojected abliteration.
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View details ↗Qwen3-Omni-30B-A3B-GGUF
TrevorJS基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。
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