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Standard GGUF quant ladder of the Blackfrost abliterated Qwen3.8-27B · embedded MTP plus optional BF16 DFlash2 acceleration > ## All standard quants live > > The complete standard K-quant ladder (`Q2_K` through `Q8_0`) and both vision projectors are included. No IQ/IK or importance-matrix quants are used. > ## Embedded MTP upgrade — August 16, 2026 > > All nine main GGUF quants were rebuilt with Qwen3.8's native MTP head embedded directly in each model. This removes the separate-draft loading failure reported with the earlier sidecars and improves one-file llama.cpp compatibility. **Redownload your selected main quant.** The vision projectors are unchanged; separate `mtp-` files are no longer required.

Visual QA
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**RED-SNOW 5.3 FLASH** is Blackfrost AI's focused red-team operations model. It is built for authorized offensive-security work: turning an objective into a technically grounded attack path, reasoning across identity, infrastructure, applications, endpoints, cloud, and operational technology, and translating findings into defensive action. This is not a generic assistant with a security prompt layered on top. RED-SNOW combines a GLM-5.3-Flash foundation with targeted security adaptation and Blackfrost's internal post-training release process. The result is intended to operate like a practical red-team partner across discovery, exploitation analysis, adversary emulation, validation, and purple-team handoff. > **Release status:** public, manually gated FP8 deployment weights. Refusal-behavior and RED-SNOW-specific harness evaluations remain pending and will be added when complete.

Text generation
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Defacation

BlackHat404

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

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Image generation
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DefacationIL

BlackHat404

基础档案已收录，详细介绍后续补充。可先查看厂商、分类与来源。

Basic profile indexed · More details to follow

Image generation
Input Text→ Output Image
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