model-00005-of-00012.safetensors 5.0 GBmodel-00008-of-00012.safetensors 5.0 GBmodel-00011-of-00012.safetensors 5.0 GBmodel-00003-of-00012.safetensors 5.0 GBmodel-00009-of-00012.safetensors 5.0 GBmodel-00010-of-00012.safetensors 4.9 GBmodel-00007-of-00012.safetensors 4.9 GBmodel-00006-of-00012.safetensors 4.9 GBmodel-00004-of-00012.safetensors 4.9 GBmodel-00002-of-00012.safetensors 4.8 GBmodel-00012-of-00012.safetensors 2.8 GBmodel-00001-of-00012.safetensors 2.5 GBRecommended reasoning effort: use medium by default. For simple tasks, or if the model becomes repetitive or keeps writing after reaching a final answer, switch to low. Reserve xhigh for genuinely complex tasks and allow a sufficient reasoning/token budget.
Why: the official Qwen3.8 template injects an extra
xhighinstruction to “validate key assumptions, consider plausible alternatives, and prioritize correctness, consistency, and clarity.” Thelowbranch instead asks for brief, focused reasoning and a direct conclusion;mediumkeeps thinking enabled without injecting either extra effort instruction. In local FP8 and Q8 troubleshooting, changing tolowimmediately stopped the observed loop; this is operational evidence, not a universal quality guarantee.
This repository contains the complete BF16 merge and the verified Q8_0 llama.cpp package for the C0/T10 directional refusal-dissolve derivative of official Qwen3.8-27B. The Q8_0 main model, official Q8 MTP draft, and official Q8 vision projector are placed at repository root.
Research disclaimer: This experimental release is provided solely to study the technical feasibility and behavioral effects of refusal-tendency dissolution. It is not a comprehensive safety conclusion, an endorsement of unrestricted use, or professional advice. Users are responsible for lawful and appropriate use and for independently verifying model outputs.
ccd1ef6e1a997cde3a9d544bda75d54e7297bb90attn.o_proj, mlp.down_proj, and compatible out_proj modules.| Role | Root file | Bytes | SHA256 |
|---|---|---|---|
| BF16 | model-00001-of-00012.safetensors … model-00012-of-00012.safetensors |
54,736,634,773 total | See SHA256SUMS |
| Q8_0 main | Qwen3.8-27B-Uncensored-Heretic-T10-Q8_0.gguf |
28,595,763,584 | fe17bff3e43463764b734b945d92c53974143193e2431056a929e3d1b95b5b58 |
| Q8 MTP draft | Q8-MTP-draft.gguf |
3,164,006,752 | e2c0e242a52a92d16d67ef9ca99f41c3028e1cf34b321ecff6adb5a9a3c6ffca |
| Q8 vision projector | mmproj-Qwen3.8-27B-Q8_0.gguf |
629,247,072 | acaa21ef79fbc451b635c8db29db65b33329aa01c15b968c975a9460cfc82b5c |
The main Q8_0 GGUF is qwen35, file type 7, 851 tensors. The MTP sidecar is qwen35, file type 7, 18 tensors. The vision projector is clip, file type 7, 334 tensors.
| Suite | Final score |
|---|---|
| MMLU500 | 435/500 (87.0%) |
| GPQA198 | 169/198 (85.35%) |
| LCB100 | 76/100 |
| Refusal140 hard refusal | 1/140 (0.7%) |
| Refusal140 soft disclaimer | 32/140 (22.9%) |
BF16 Refusal140 hard refusal: 0/140 (0.0%). The Q8_0 hard-refusal result remains 1/140 (0.7%).
LCB difficulty: easy 23/23, medium 30/31, hard 23/46. The structured result package is available at evaluation/q8-results-v1.json.
Bare Q8_0 with vision:
llama-server -m Qwen3.8-27B-Uncensored-Heretic-T10-Q8_0.gguf --mmproj mmproj-Qwen3.8-27B-Q8_0.gguf -ngl all -c 32768 --host 127.0.0.1 --port 8080 --no-webui
Q8_0 with MTP and vision:
llama-server -m Qwen3.8-27B-Uncensored-Heretic-T10-Q8_0.gguf --model-draft Q8-MTP-draft.gguf --spec-type draft-mtp --mmproj mmproj-Qwen3.8-27B-Q8_0.gguf -ngl all -c 32768 --host 127.0.0.1 --port 8080 --no-webui
SMOKE_OK_38).SHA256SUMS and manifest.json define the exact release.Apache License 2.0. Users must also follow the official Qwen3.8-27B terms and applicable law.
思考强度建议:默认使用 medium。简单任务,或出现重复循环、已经给出最终答案仍继续输出时,切换到 low。xhigh 仅用于确实复杂的任务,并预留足够的思考/token 预算。
**原因:**Qwen3.8 官方模板会在
xhigh分支额外注入“验证关键假设,考虑合理且可能成立的替代方案,并优先确保正确性、一致性和表达清晰度”;low分支要求保持思考简短、聚焦并直接得出结论;medium保留 thinking,但不注入上述两类额外 effort 指令。本地 FP8 与 Q8 排障中,改为low后观察到的循环立即停止;这是运行证据,不代表所有任务的通用质量结论。
本仓库包含官方 Qwen3.8-27B 经 C0/T10 定向拒答溶解后的完整 BF16 合并权重,以及已验证的 Q8_0 llama.cpp 套件。主 Q8_0、官方 Q8 MTP draft 与官方 Q8 视觉塔均放在仓库根目录。
研究免责声明: 本实验版本仅用于研究拒答倾向溶解的技术可行性与行为影响。它不构成完整的安全结论,不代表对无限制使用的认可,也不构成任何专业建议。使用者有责任依法、适当地使用模型,并独立核验模型输出。
ccd1ef6e1a997cde3a9d544bda75d54e7297bb90attn.o_proj、mlp.down_proj 和兼容的 out_proj。| 角色 | 文件 | Bytes | SHA256 |
|---|---|---|---|
| BF16 | model-00001-of-00012.safetensors … model-00012-of-00012.safetensors |
54,736,634,773 总计 | 见 SHA256SUMS |
| Q8_0 主模型 | Qwen3.8-27B-Uncensored-Heretic-T10-Q8_0.gguf |
28,595,763,584 | fe17bff3e43463764b734b945d92c53974143193e2431056a929e3d1b95b5b58 |
| Q8 MTP draft | Q8-MTP-draft.gguf |
3,164,006,752 | e2c0e242a52a92d16d67ef9ca99f41c3028e1cf34b321ecff6adb5a9a3c6ffca |
| Q8 视觉塔 | mmproj-Qwen3.8-27B-Q8_0.gguf |
629,247,072 | acaa21ef79fbc451b635c8db29db65b33329aa01c15b968c975a9460cfc82b5c |
| 测评 | 最终得分 |
|---|---|
| MMLU500 | 435/500(87.0%) |
| GPQA198 | 169/198(85.35%) |
| LCB100 | 76/100 |
| Refusal140 硬拒答 | 1/140(0.7%) |
| Refusal140 边答边免责 | 32/140(22.9%) |
BF16 Refusal140 硬拒答:0/140(0.0%)。 Q8_0 硬拒答结果仍为 1/140(0.7%)。
LCB 分项:easy 23/23、medium 30/31、hard 23/46。结构化成绩见 evaluation/q8-results-v1.json。
上面的两条命令分别对应 bare Q8_0 + vision 与 Q8_0 + MTP + vision。MTP 命令必须同时保留 --model-draft Q8-MTP-draft.gguf 与 --spec-type draft-mtp。
SHA256SUMS 与 manifest.json 定义本次发布的精确文件。Apache License 2.0。使用时还需遵守官方 Qwen3.8-27B 许可与适用法律。
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