AI가 움직이고 미래가 업데이트됩니다.ThinkingCap-gemma-4-26B-A4B-it-GGUF
**We recommend `ThinkingCap-gemma-4-26B-A4B-it-MXFP4_MOE.gguf` over `Q4_K_M` at this size**: it is the file evaluated below, and it held up better on our math benchmarks. Pull it with `-hf bottlecapai/ThinkingCap-gemma-4-26B-A4B-it-GGUF:MXFP4_MOE`. GGUF / llama.cpp quantizations of bottlecapai/ThinkingCap-gemma-4-26B-A4B-it — ThinkingCap's shorter-thinking post-training applied to gemma-4-26B-A4B-it, a mixture-of-experts model with image input. ➡️ Full model description, evaluation results, the measured thinking-token reduction and recommended sampling: see the main model card at bottlecapai/ThinkingCap-gemma-4-26B-A4B-it.
번역 준비 중입니다. 원문을 표시합니다.
**We recommend `ThinkingCap-gemma-4-26B-A4B-it-MXFP4_MOE.gguf` over `Q4_K_M` at this size**: it is the file evaluated below, and it held up better on our math benchmarks. Pull it with `-hf bottlecapai/ThinkingCap-gemma-4-26B-A4B-it-GGUF:MXFP4_MOE`. GGUF / llama.cpp quantizations of bottlecapai/ThinkingCap-gemma-4-26B-A4B-it — ThinkingCap's shorter-thinking post-training applied to gemma-4-26B-A4B-it, a mixture-of-experts model with image input. ➡️ Full model description, evaluation results, the measured thinking-token reduction and recommended sampling: see the main model card at bottlecapai/ThinkingCap-gemma-4-26B-A4B-it.