Weights

🔐 Hash sum: c5bf4475050f2292dfb757a20349cdc2 | 📅 Last update: 2026-07-14 Verify Processor: 4.0 GHz+ boost clock recommended for CPU inference RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk Space: at least 100 GB for multiple local LLM variants GPU: 16 GB+ video memory highly recommended for exl2 / AWQ formats Benchmarking the Efficiency of MiniMax-M2.7 … Read more

📡 Hash Check: 681f8587d19c30f14110ec2ba864f30f | 📅 Last Update: 2026-07-15 Verify CPU: multi-threading optimized for fast prompt processing RAM: 32 GB or higher for smooth 32k context lengths Disk Space: 100 GB for multi-modal model vision components GPU: high memory bandwidth GPU for next-gen local AI pipeline Unlocking the Full Potential of Compact Embeddings The granite-embedding-small-english-r2 … Read more

📊 File Hash: d729b75c0092c3352440cc5824511872 — Last update: 2026-07-18 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp 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 pipeline Unlocking the Potential of Sulphur-2-base Sulphur-2-base is revolutionizing the landscape of … Read more