by toxicfree | Jul 24, 2026 | Quantizations
🔗 SHA sum: 41805a65a7fddb20547440a2a0176d14 | Updated: 2026-07-23 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: enough space for background apps and OS overhead Storage:100 GB free space for HuggingFace cache folder GPU: high memory bandwidth GPU...
by toxicfree | Jul 24, 2026 | Quantizations
🔧 Digest: 3b50c6cda13e2b36adfb4e80987ce6de • 🕒 Updated: 2026-07-19 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: 32 GB highly recommended for 26B+ GGUF models Storage:100 GB free space for HuggingFace cache folder GPU: modern architecture (Ada...
by toxicfree | Jul 23, 2026 | Quantizations
🧮 Hash-code: 4fe52cc6ba228e2650bc3a2c0d95c187 • 📆 2026-07-19 Verify Processor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: 64 GB to avoid OOM crashes on large contexts Storage: extra room for future model updates and datasets Graphics: CUDA Compute Capability...
by toxicfree | Jul 22, 2026 | Quantizations
🧩 Hash sum → 1cdf9ac21189fea38a5a4bc085622c04 — Update date: 2026-07-20 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: high-speed DDR5 memory preferred for CPU offloading Disk Space: free: 80 GB on system drive for scratch space Graphics:...
by toxicfree | Jul 20, 2026 | Quantizations
🔒 Hash checksum: 9db82eceabd7b4d72fa3bf695bfa3407 • 📆 Last updated: 2026-07-16 Verify Processor: high single-core performance needed for token latency RAM: 32 GB highly recommended for 26B+ GGUF models Disk Space: at least 100 GB for multiple local LLM variants GPU:...
by toxicfree | Jul 20, 2026 | Quantizations
🖹 HASH-SUM: 98bb485986b6ec52609c1be8fd7fe42c | 📅 Updated on: 2026-07-15 Verify Processor: 4.0 GHz+ boost clock recommended for CPU inference RAM: enough space for background apps and OS overhead Disk: 150+ GB for high-context vector database storage GPU: modern...
Recent Comments