AIが動く。未来が更新される。GLM-5.3-Flash-Maya-M-Derisked-IQ2_S-GGUF
This is the **Maya-M IQ2_S** release of GLM-5.3-Flash with a targeted Directional Weight Modification (DWM) applied directly to the GGUF weights. The DWM was performed by `Blackfrost_AI` using a proprietary method designed to reduce blanket refusal behavior while preserving the model's original GGUF identity and packaging. > **This model is not a requant.** It retains the source IQ2_S mixed-storage > quantization, tensor names, tensor count, tensor shapes, storage types, shard > layout, tokenizer, chat template, NextN draft layer, and exact aggregate byte > size. DWM intentionally changes the numerical values of selected target > tensors; “preserved identity” does not mean the edited weights are bit-identical > to the source.
翻訳準備中のため原文を表示しています
This is the **Maya-M IQ2_S** release of GLM-5.3-Flash with a targeted Directional Weight Modification (DWM) applied directly to the GGUF weights. The DWM was performed by `Blackfrost_AI` using a proprietary method designed to reduce blanket refusal behavior while preserving the model's original GGUF identity and packaging. > **This model is not a requant.** It retains the source IQ2_S mixed-storage > quantization, tensor names, tensor count, tensor shapes, storage types, shard > layout, tokenizer, chat template, NextN draft layer, and exact aggregate byte > size. DWM intentionally changes the numerical values of selected target > tensors; “preserved identity” does not mean the edited weights are bit-identical > to the source.