Embedders
🔒 Hash checksum: 721b86eff85a211a024c1237b3cf2d71 • 📆 Last updated: 2026-07-17 Verify Processor: Intel i7 / Ryzen 7 for heavy Quantized models […]
🧮 Hash-code: cffaea91829363bd6b4ba721cc84b163 • 📆 2026-07-19 Verify Processor: 4.0 GHz+ boost clock recommended for CPU inference RAM: high-speed DDR5 memory
🔧 Digest: 7b4cec3ce82977d63dc2cb20dd6c0b55 • 🕒 Updated: 2026-07-15 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: fast 5600MHz+
🛡️ Checksum: 284e167ab3697f0cb3b19fe61bef94fc — ⏰ Updated on: 2026-07-15 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models
💾 File hash: e514f6af1a0bdb307d25e2fb7d3612fa (Update date: 2026-07-12) Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: at least
📦 Hash-sum → 1fad2880baf36e21d01c105254b66688 | 📌 Updated on 2026-07-14 Verify Processor: Intel i7 / Ryzen 7 for heavy Quantized models
The most efficient approach for a local installation is leveraging Docker containers. Make sure you implement the steps mentioned below.
The most efficient approach for a local installation is leveraging Docker containers. Make sure you implement the steps mentioned below.
The most efficient approach for a local installation is leveraging Docker containers. Please follow the instructions listed below to get
If you want the fastest local installation for this model, use standard pip packages. Check out the detailed setup guide
