MODEL PROFILE

ThinkingCap-Qwen3.8-27B-abliterated-GGUF

IstroSec · ThinkingCap-Qwen3.8-27B-abliterated-GGUF

GGUF quantizations of ThinkingCap-Qwen3.8-27B-abliterated, the uncensored variant of bottlecapai/ThinkingCap-Qwen3.8-27B, for llama.cpp and apps built on it. Nine files from 13.0 GB (IQ3_M) to 29.0 GB (Q8_0): six with llama.cpp's standard mix for their type and three (`UD-*`) with Unsloth's per-tensor layouts. Every file is quantized directly from the BF16 GGUF, never from another quant, and every file below Q8_0 uses an importance matrix computed on this model. In every file the MTP head is pinned to Q8_0 (see Tensor pins). **Which build?** Q5_K_M (19.7 GB) is the recommended file. Below it, by memory: UD-Q4_K_XL (17.7 GB), IQ4_XS (15.5 GB), UD-IQ4_XS (14.4 GB), UD-Q3_K_XL (13.2 GB); Q6_K (22.5 GB) or Q8_0 (29.0 GB) when the memory is there. UD-Q4_K_XL and UD-Q3_K_XL have lower divergence than Q4_K_M and IQ3_M at a slightly larger size.

Visual QAlicense:other
Context windowNot disclosed
Input → OutputText、Image → Text
Model weightsNot verified
Profile updated2026/10/31 11:10:17
OVERVIEW

Model overview

GGUF quantizations of ThinkingCap-Qwen3.8-27B-abliterated, the uncensored variant of bottlecapai/ThinkingCap-Qwen3.8-27B, for llama.cpp and apps built on it. Nine files from 13.0 GB (IQ3_M) to 29.0 GB (Q8_0): six with llama.cpp's standard mix for their type and three (`UD-*`) with Unsloth's per-tensor layouts. Every file is quantized directly from the BF16 GGUF, never from another quant, and every file below Q8_0 uses an importance matrix computed on this model. In every file the MTP head is pinned to Q8_0 (see Tensor pins). **Which build?** Q5_K_M (19.7 GB) is the recommended file. Below it, by memory: UD-Q4_K_XL (17.7 GB), IQ4_XS (15.5 GB), UD-IQ4_XS (14.4 GB), UD-Q3_K_XL (13.2 GB); Q6_K (22.5 GB) or Q8_0 (29.0 GB) when the memory is there. UD-Q4_K_XL and UD-Q3_K_XL have lower divergence than Q4_K_M and IQ3_M at a slightly larger size.

Key features

特点摘要待依据来源补齐,不凭模型名称推断能力。

Limitations & considerations

Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.

PRICING & COST

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INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

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Frequently asked questions

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Sources & traceability

许可证:other。模型介绍与第三方评测均以原来源的具体版本和方法为准。