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huangserva
@servasyy_ai
古早程序员 | AI出海 | 自由职业 机车游侠&机速购&骑享租创始人 15年前 freelance 起步 → 连续创业者 → 亏过1个亿,逆风翻盘中 分享创业,AI,读书,生活,健身 Official X channel of SERVASYY LLC
加入 December 2025
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又一个无限制审核版本,还是GLM-5.3 Flash的 考虑要不要用我的4090 48G + 128G内存去挑战一下2-bit GGUF 320B 总参数、每 token 激活约 18B
GLM-5.3-Flash. Uncensored. Native FP8. 🐳 We just released OrcaRouter’s uncensored weights for GLM-5.3-Flash — 320B parameters / 18B active, directly at the original block-FP8 precision. No LoRA. No jailbreak prompt. Refusal removal is baked directly into the weights. The evals are particularly interesting: → MaliciousInstruct refusal: 96% → 11% → JailbreakBench: 93% → 12% → AdvBench: 97% → 15% → HarmBench: 93% → 18% → XSTest benign over-refusal: 2.4% → 0.4% But refusal does not go uniformly to zero. Our experiments suggest part of GLM-5.3-Flash's alignment is not mediated by a single linear refusal direction — meaning may have built a substantially deeper refusal mechanism than we usually see. That makes this release interesting beyond uncensoring: it's a useful artifact for studying how frontier-model alignment is actually represented inside the network. Released for AI safety, interpretability, red/blue-team and refusal-mechanism research. Weights on Hugging Face: API (official weight): GGUF, MLX and other quantized formats coming soon.
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