⚡ 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 💚 Big thanks to Hugging Face for generously donating additional storage — much appreciated. Darwin 36B Opus — APEX GGUF APEX (Adaptive Precision for EXpert Models) quantizations of FINAL Bench/Darwin 36B Opus. Brought to you by the LocalAI team APEX Project Technical Report Available Files File Profile Size Best For Darwin 36B Opus APEX I Balanced.gguf I Balanced 24 GB Best overall quality/size ratio Darwin 36B Opus APEX Balanced.gguf Balanced 24 GB General purpose Darwin 36B Opus APEX I Quality.gguf I Quality 22 GB Highest quality with imatrix Darwin 36B Opus APEX Quality.gguf Quality 22 GB Highest quality standard Darwin 36B Opus APEX I Compact.gguf I Compact 16 GB Consumer GPUs, best quality/size Darwin 36B Op…
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