玩模型开放模型 · 清晰来源 · 自主选择
返回模型目录
AtomicChat /

Ternary-Bonsai-2-9B-Uncensored-LoRA-GGUF

HF 源站

AtomicChat/Ternary-Bonsai-2-9B-Uncensored-LoRA-GGUF is an uncensored open-source model hosted on Hugging Face.

GGUFLicense: other9Buncensoredabliterationrefusal-directionloraternary-bonsai-2qwen35
README.md说明 / 使用方法

license: other tags: [uncensored, abliteration, refusal-direction, lora, ternary-bonsai-2, qwen35]

Ternary-Bonsai-2-9B — Uncensored (LoRA)

A rank-1 projected LoRA that removes the refusal direction from the residual writers (attn_output, ssm_out, ffn_down) of Ternary-Bonsai-2-9B-gguf. The base weights are unchanged (the pack is ternary; a baked edit would round away), so this ships as an adapter.

metric (scale 1)baseabliterated
refusals, harmful (classifier)100.0%0.0%
false refusals, harmless1.9%0.0%
MMLU (n=300)76.071.7
  • Apply (PrismML fork, hadamard v2 — e.g. prism-b10777): llama-cli -m <pack> --lora-scaled <this>:1
  • Recommended scale 1.0 (1.5 begins to degenerate).
  • MMLU drops 4.3 pp at 9B (base 76.0 -> 71.7). Use a lower scale if retention matters.

Honesty / caveats (research artifact)

  • Writer-only: token_embd is omitted (v2 tied_output makes a token_embd LoRA crash the graph).
  • Residual leak ~1e-4 at scale 1 (above our usual <=1e-5 bar): the v2 Hadamard basis is not yet exact. Refusals are gone and harmless prompts are unaffected, but treat as research-grade.
  • Refusal numbers are from a prefix classifier (EN/RU); full per-prompt logs are in the -metrics repo.
  • Built on prism-ml/Ternary-Bonsai-2-9B-gguf (sha-verified). By AtomicChat. License inherits the base.

Responsible use. Removing refusals moves responsibility for outputs to the user; use within the base model's license and applicable law.

HUGGING FACE

上游数据

HF 下载量0
HF 点赞量0

HF 下载量为源站最近 30 天统计,与本站点击分开。

SITE STATS

本站统计

下载点击—
请求数—
匿名去重—最近 7 天—

本站下载量记录按钮点击,不代表下载完成;短时连点会去重。

来源与版本

作者
AtomicChat
最近更新
2026/10/15
最新创建
2026/10/15
HF 趋势
236
数据快照
2026/10/15
版本
未知
许可证
other