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AI Models 84757

• Qwen3.8-27B-Uncensored-HauhauCS-Aggressive-MTP-GGUF↗

  htrhdjy

• smollm-360M-instruct-add-basics-q0f16-MLC↗

  HuggingFaceTB

• stack-edu-classifier-c↗

  HuggingFaceTB

• Hunyuan-MT-Chimera-7B↗

  腾讯

• Qwopus3.6-27B-Coder↗

  Jackrong

• ATX-Swift-1.5-Qwen3.8-27B-Uncensored-IQ4_XS-M-GGUF↗

  jakeatx

• jugg↗

  KamCastle

• llama3_1b_chinchilla_8132025↗

  kz919

• shieldgemma-2b-IMat-GGUF↗

  legraphista

  Original Model: google/shieldgemma-2b Original dtype: `BF16` (`bfloat16`) Quantized by: llama.cpp b3525 IMatrix dataset: here If the model file is big, it has been split into multiple files. In order to download them all to a local folder, run: According to this investigation, it appears that lower quantizations are the only ones that benefit from the imatrix input (as per hellaswag results).

• mDenseOn↗

  lightonai