⚡ Each donation = another big MoE quantized I host 25+ 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 💚 Big thanks to Hugging Face for generously donating additional storage — much appreciated. Carnice Qwen3.6 MoE 35B A3B APEX GGUF APEX (Adaptive Precision for EXpert Models) quantizations of samuelcardillo/Carnice Qwen3.6 MoE 35B A3B. Brought to you by the LocalAI team APEX Project Technical Report Available Files File Profile Size Best For Carnice Qwen3.6 MoE 35B A3B APEX I Balanced.gguf I Balanced 24 GB Best overall quality/size ratio Carnice Qwen3.6 MoE 35B A3B APEX I Quality.gguf I Quality 22 GB Highest quality with imatrix Carnice Qwen3.6 MoE 35B A3B APEX Quality.gguf Quality 22 GB Highest quality standard Carnice Qwen3.6 MoE 35B A3B APEX Balanced.gguf Balanced 24 GB General purpose Carnice Qwen3.6 MoE 35B A…
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