📎 HASH: 86873148f25eda95376c2093989ebeaa | Updated: 2026-07-22 Verify Processor: 6-core 3.5 GHz minimum required RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk Space:70 GB free space for full FP16 weights storage GPU: modern architecture (Ada Lovelace / Ampere minimum) Unveiling the TRELLIS.2-4B: A Paradigm Shift
🔐 Hash sum: edd156cd9c0bc45592871872ba888b41 | 📅 Last update: 2026-07-22 Verify Processor: high single-core performance needed for token latency RAM: 48 GB needed to prevent memory swapping to disk Disk: 150+ GB for high-context vector database storage Graphic Processor: hardware Tensor Cores support needed for FP16
📤 Release Hash: e2e315175ecab44afeb27b83e19dfef0 • 📅 Date: 2026-07-19 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: at least 32 GB in dual-channel mode for bandwidth Disk: 150+ GB for high-context vector database storage GPU: 16 GB+ video memory highly recommended
🧩 Hash sum → 4d33edf8b817e97d733ce568af5871e9 — Update date: 2026-07-21 Verify CPU: multi-threading optimized for fast prompt processing RAM: 32 GB highly recommended for 26B+ GGUF models Disk Space: 100 GB for multi-modal model vision components Graphics: stable 30+ tk/s at 4-bit quantization on medium setup
🔍 Hash-sum: 3b2b13468ba176498933fd18bb8142e7 | 🕓 Last update: 2026-07-20 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 Graphic Processor: hardware Tensor Cores support needed for FP16 acceleration The Qwen3-Coder-30B-A3B-Instruct
🔗 SHA sum: 8a8d4c4782412a57a798dbd3a36a393a | Updated: 2026-07-16 Verify Processor: next-gen chip for heavy context processing RAM: 64 GB to avoid OOM crashes on large contexts Disk: high-speed SSD 120 GB to cache model layers Graphic Processor: RTX 3060 or RX 6600 for minimum 8B VRAM
💾 File hash: 012e3375eeb017c1487b51dc7fe201a3 (Update date: 2026-07-17) Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk Space: free: 80 GB on system drive for scratch space GPU: RTX 4080 / RTX 4090 recommended for 26B-A4B
📘 Build Hash: aaf374fbce0b3988fc5c1c432d7a010c • 🗓 2026-07-18 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: high-speed DDR5 memory preferred for CPU offloading Disk: 150+ GB for high-context vector database storage GPU: 16 GB+ video memory highly recommended for exl2 / AWQ formats
🧾 Hash-sum — 5524d3de08e809eb0a5f578f9c020997 • 🗓 Updated on: 2026-07-19 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk Space: at least 100 GB for multiple local LLM variants GPU: modern architecture (Ada Lovelace
🗂 Hash: 1e1e725038277acec2705bb997838261 • Last Updated: 2026-07-14 Verify Processor: high single-core performance needed for token latency RAM: at least 32 GB in dual-channel mode for bandwidth Disk Space: at least 100 GB for multiple local LLM variants Graphic Processor: RTX 3060 or RX 6600 for
