๐งพ Hash-sum โ abe63584a1d47721d3486007b58dbdfc โข ๐ Updated on: 2026-07-18 Verify Processor: 6-core 3.5 GHz minimum required RAM: 32 GB or higher for smooth 32k context lengths Disk: high-speed SSD 120
Gemma-4-E4B-Uncensored-HauhauCS-Aggressive Locally via Ollama 2 Easy Build
๐พ File hash: 4c34ba92697b92ce48f7199efb2875ab (Update date: 2026-07-22) Verify CPU: multi-threading optimized for fast prompt processing RAM: at least 32 GB in dual-channel mode for bandwidth Disk Space: free: 80 GB
Install Qwen3-VL-32B-Instruct One-Click Setup Easy Build
๐ Hash sum: 0dde75dd7f78bcd2b0e4f1dbc7b90631 | ๐ Last update: 2026-07-20 Verify Processor: high single-core performance needed for token latency RAM: minimum 16 GB for stable 8B model loading Storage: extra room
Install diffusiongemma-26B-A4B-it-NVFP4 Offline on PC Dummy Proof Guide
๐งพ Hash-sum โ ffa53675bca02e050951a8a7feaf7547 โข ๐ Updated on: 2026-07-18 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: 32 GB highly recommended for 26B+ GGUF models Disk: 150+ GB for
How to Deploy Qwen3.6-27B-MLX-8bit
๐ฆ Hash-sum โ b0fa4b040538c6738a74e330d2f1e07b | ๐ Updated on 2026-07-15 Verify Processor: high single-core performance needed for token latency RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk: high-speed SSD 120
How to Deploy chronos-2-small Locally via LM Studio Offline Setup
๐ File Hash: 002d814cf90fb06341ad446387e08a13 โ Last update: 2026-07-13 Verify CPU: multi-threading optimized for fast prompt processing RAM: high-speed DDR5 memory preferred for CPU offloading Disk Space: at least 100 GB
How to Deploy technique-router-onnx 100% Private PC For Beginners
๐ Hash code: b84ed22f0e6ce5e1da834f7820739b17 โ Last modification: 2026-07-17 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: 32 GB highly recommended for 26B+ GGUF models Disk: 150+ GB
Quick Run tiny-Qwen2_5_VLForConditionalGeneration Windows 10 No Admin Rights No-Code Guide
๐ HASH: 9b13955a1d02ee1af151953e2aa0e8d6 | Updated: 2026-07-11 Verify CPU: 8-core / 16-thread recommended for orchestration RAM: 32 GB highly recommended for 26B+ GGUF models Disk Space: 100 GB for multi-modal model
How to Run gpt-oss-120b No-Internet Version Local Guide Windows
๐ก Hash Check: ba4e088c5346ffbab6ad35a75bfd99e9 | ๐ Last Update: 2026-07-12 Verify Processor: next-gen chip for heavy context processing RAM: 48 GB needed to prevent memory swapping to disk Storage:100 GB free
Install Anima Windows 11
๐ก๏ธ Checksum: cc75b40fbb3bb6951c5d85244e62c92b โ โฐ Updated on: 2026-07-15 Verify Processor: 6-core 3.5 GHz minimum required RAM: 64 GB to avoid OOM crashes on large contexts Disk Space: at least 100