Qwen3.8-Flash-Next-GGUF

- https://huggingface.co/Qwen/Qwen3.8-Flash-Next - https://huggingface.co/incoai/Qwen3.8-Flash-Next-DFlash2 - `Q8_0` and `IQ4_NL`: all routed experts use the base quantization type. - `Q2_K`: routed gate/up experts at Q2_K, routed down experts at IQ4_NL. - Small non-expert tensors (embeddings, PLE embeddings, attention, shared experts) are kept at Q8_0, the PLE embedding is at Q4_0. - Includes a Q8_0 mmproj for the vision encoder, MTP sidecars (Q8_0 / Q4_0) and a DFlash2 draft sidecar (BF16 / Q8_0 / Q4_0) for speculative decoding. - The `Q2_K` routed gate/up expert tensors are calibrated with the imatrix from https://huggingface.co/AesSedai/Qwen3.8-Flash-Next-GGUF > [!IMPORTANT] > This model is automatically converted using https://github.com/ggml-org/convert

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