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Cataloged from Infatoshi/Qwen3.6-35B-A3B-GGUF
All models by Infatoshi →GGUF conversions of Qwen/Qwen3.6-35B-A3B for llama.cpp.
Sparse MoE: 35B total / 3B active (256 experts + 1 shared, top-8 routed). Hybrid Gated-DeltaNet + Gated-Attention layers (3:1), 262K native context. Includes vision projector for image/video input.
Q5_K_M / Q8_0 / BF16 do not fit a single 24GB GPU at usable context.
Qwen3_5MoeForConditionalGeneration (qwen3_5_moe)convert_hf_to_gguf.py (built-in support)llama-cli -m Qwen3.6-35B-A3B-Q4_K_M.gguf -ngl 99 -c 8192 -p "Your prompt"llama-mtmd-cli -m Qwen3.6-35B-A3B-Q4_K_M.gguf \ --mmproj Qwen3.6-35B-A3B-mmproj-BF16.gguf \ --image path/to/image.jpg -p "Describe this image"