⚡ Each donation = another big MoE quantized I host 30+ free APEX MoE quantizations as independent research. My only local hardware is an NVIDIA DGX Spark (122 GB unified memory) — enough for ~30 50B class MoEs, but bigger ones (200B+) require rented compute on H100/H200/Blackwell, typically $20 100 per quant. If APEX quants are useful to you, your support directly funds those bigger runs. 🎉 Patreon (Monthly) ☕ Buy Me a Coffee ⭐ GitHub Sponsors Qwopus3.6 35B A3B Coder — APEX MTP GGUF APEX (Adaptive Precision for EXpert Models) quantizations of Jackrong/Qwopus3.6 35B A3B Coder, with the model's MTP (multi token prediction) head bundled for in the box self speculative decoding. Brought to you by the LocalAI team APEX Project Technical Report What's different from the plain APEX repo? This model ships a real MTP head , and these GGUFs bundle it alongside the trunk in a single file (via llama.cpp PR 22673). With a recent llama.cpp you can enable self speculative decoding from just this one file — no separate draft model: The non MTP version is at mudler/Qwopus3.6 35B A3B Coder APEX GGUF — slightly smaller, no self spec. MTP draft head precision The bundled M…
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