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Xing4.0-29B-A4B — CRACK · GGUF Collection
Abliterated · No guardrails · MoE 29B/4B active · MLA + Hyper-Connections + MTP
已去除拒绝行为 · 无护栏 · MoE 29B/4B 激活 · MLA + Hyper-Connections + MTP
@dealignai
What is this · 这是什么
Xing4.0-29B-A4B — China Telecom AI's next-generation MoE reasoning model (TeleChat successor) — with the refusal circuitry surgically removed at the weight level. Seven GGUF quants with imatrix calibration.
Xing4.0-29B-A4B — 中国电信人工智能的新一代 MoE 推理模型(TeleChat 后继版本)— 拒绝相关电路在权重层面被外科式移除。提供七个 GGUF 量化版本,均带 imatrix 校准。
Runs on the shuxiaoqiong/llama.cpp @ xing4_0-port runtime (upstream PR #29012).
运行时需要使用 shuxiaoqiong/llama.cpp @ xing4_0-port(上游 PR #29012)。
Model card · 模型说明
Scores overview · 总体评分
HB320 comply% = (full comply + comply-truncated + answering-truncated). Any output that started answering without a refusal marker is counted as compliance, even if the response was cut off at max_tokens. Only responses containing a refusal signal (soft redirect, hedge, in-reasoning refusal, or hard refusal) count as refusals.
HB320 遵从率 = 完全遵从 + 因预算截断的遵从 + 作答中截断(未拒绝)。任何以正常作答开始且未含拒绝信号的输出都计为遵从,即使在 max_tokens 处被截断亦然。只有出现拒绝信号(软性转向、回避、推理中拒绝、强硬拒绝)才计为拒绝。
- MMLU-456: stratified 456-question subset (57 subjects, ~8/subject), single-letter logit at temp=0. · 分层采样 456 题(57 学科,每学科约 8 题),temp=0 的字母 logit 评分。
- HB320: HarmBench 320 prompts.
off = enable_thinking:false, think = enable_thinking:true. · HarmBench 320 提示词。
- Loops: reasoning attractor count across the full evaluation. Zero across every quant × both modes. · 完整评测中出现的循环次数。所有量化 × 两种模式均为 0。
Reference baseline (matched-quant Base F16 → same quant): MMLU 71.3% · off comply 59.4% · think comply 55.0%. · 参考基线(匹配量化的 Base F16 → 相同量化):MMLU 71.3% · off 遵从 59.4% · think 遵从 55.0%。
Per-quant tier breakdown · 各量化分级详细数据
Each quant is expanded below with the HB320 breakdown. Comply covers all answering outputs (complete and max_tokens-truncated alike — a response that starts answering counts as compliance regardless of length). Refusal tiers are broken out individually so you can see how the small residual behaves.
每个量化的 HB320 明细见下。遵从包含所有作答输出(完整回复以及被 max_tokens 截断的回复 — 开始正常作答即计入遵从,与长度无关)。拒绝类别分开列出,便于了解剩余少量拒绝的分布情况。
Q8_0 — off 99.4% comply / think 93.4% comply · 展开明细 / expand
Off mode · off 模式 (n=320)
Think mode · think 模式 (n=320)
Q6_K — off 98.4% comply / think 92.2% comply · 展开明细 / expand
Off mode · off 模式 (n=320)
Think mode · think 模式 (n=320)
Q5_K_M — off 99.1% comply / think 92.5% comply · 展开明细 / expand
Off mode · off 模式 (n=320)
Think mode · think 模式 (n=320)
Q4_K_M — off 99.1% comply / think 94.7% comply · 展开明细 / expand
Off mode · off 模式 (n=320)
Think mode · think 模式 (n=320)
Q3_K_M — off 98.1% comply / think 91.6% comply · 展开明细 / expand
Off mode · off 模式 (n=320)
Think mode · think 模式 (n=320)
IQ4_NL — off 99.1% comply / think 89.4% comply · 展开明细 / expand
Off mode · off 模式 (n=320)
Think mode · think 模式 (n=320)
IQ3_M — off 96.9% comply / think 89.1% comply · 展开明细 / expand
Off mode · off 模式 (n=320)
Think mode · think 模式 (n=320)
MMLU per-subject impact · MMLU 学科影响
Reference is Q4_K_M (mid-range, most-deployed). Δ column shows CRACK − matched base at same quant level. Small positive values (+2 to +14pp) are within per-subject sampling variance on ~8-question sets; overall MMLU delta is −4.2pp.
以 Q4_K_M(中档、最常部署)为参考。Δ 列表示 CRACK − 同量化基线。小幅正值(+2 至 +14pp)在每学科约 8 题的采样方差范围内;总体 MMLU 差异为 −4.2pp。
MMLU-456 by subject (Q4_K_M reference) · MMLU-456 分学科(以 Q4_K_M 为参考)
Compliance modes · 遵从模式
All seven quants share the same weight-level compliance modification.
七个量化版本共享相同的权重级遵从修改。
- off mode (
enable_thinking: false) — fully uncensored deployment target. HB320 comply 96.9% – 99.4%. · off 模式:完全无审查部署目标,HB320 遵从率 96.9% – 99.4%。
- think mode (
enable_thinking: true) — reasoning-native, Chinese-native. HB320 comply 89.1% – 94.7%. Reasoning proceeds in native Chinese; give the model generous max_tokens (≥ 1500) so the final answer emits after the <think> block. · think 模式:推理原生,中文原生,HB320 遵从率 89.1% – 94.7%。请给予充足的 max_tokens(≥1500),使最终回答能够在 <think> 块之后输出。
- loops — zero loops observed across every quant × both modes on the full HB320 evaluation. · 循环:在完整 HB320 评测中,所有量化 × 两种模式均未观察到循环。
Serving · 使用
Build the runtime once · 一次性构建运行时:
Serve · 启动服务:
API usage · API 使用
Responsible use · 责任声明
Adult / research use only. Refusal circuit removed; can produce content other models refuse — offensive, illegal in some jurisdictions, or unsafe. You are responsible for what you generate and for compliance with all applicable law. Do not deploy without a moderation layer for downstream users. No warranty.
仅限成人 / 研究用途。拒绝相关电路已被移除;可能产生其他模型会拒绝的内容 — 冒犯、在某些司法管辖区违法、或不安全的内容。对生成内容以及是否符合所有适用法律的责任由您自行承担。若要面向下游用户部署,请自行加装审核层。不提供任何担保。
License & attribution · 许可与致谢
Apache 2.0, inherited from the upstream Xing4.0-29B-A4B release. Base model: XingChen-AGI/Xing4.0-29B-A4B (China Telecom AI). imatrix calibration derived from the community (WikiText-2 + source tree + Chinese Wikipedia). This build modifies only a small set of the base's weights.
Apache 2.0 许可,继承自上游 Xing4.0-29B-A4B 发布。基础模型:XingChen-AGI/Xing4.0-29B-A4B(中国电信人工智能)。imatrix 校准来源于社区(WikiText-2 + 源码 + 中文维基)。此发行仅修改了基础模型极小部分的权重。
About · 关于
Published by dealignai — public catalog of uncensored model builds for research on refusal mechanisms in modern LLMs. Follow updates at @dealignai.
由 dealignai 发布 — 用于研究现代 LLM 拒绝机制的无审查模型公共目录。可在 @dealignai 关注更新。