Retrievers

Deploying this model locally is quickest when done via a simple curl command. Use the instructions provided below to complete the setup. The installer automatically pulls the model (could be multiple GBs). Without any user input, the software calibrates parameters for optimal hardware usage. 🧾 Hash-sum — e97b8b0b14f846bb02587c5ec62e4405 • 🗓 Updated on: 2026-06-23 Verify Processor: … Läs mer

Deploying this model locally is quickest when done via Docker. Make sure to follow the instructions below. Hands-free setup: the system self-downloads the heavy model files. The installer will automatically analyze your hardware and select the optimal configuration for your system. 📎 HASH: 73508e3b56e258b9de168baefdab2638 | Updated: 2026-06-28 Verify CPU: 8-core / 16-thread recommended for orchestration … Läs mer

Deploying this model locally is quickest when done via Docker. Just follow the guidelines provided below. The installer automatically pulls the model (could be multiple GBs). The deployment tool scans your environment and automatically chooses the ideal parameters for your OS. 📄 Hash Value: cba29f3b7c2820ad99dcd97579f50a0a | 📆 Update: 2026-06-28 Verify CPU: AVX2/AVX-512 instruction set required … Läs mer

Deploying this model locally is quickest when done via Docker. Please follow the instructions listed below to get started. Next, run the Docker command to spin up the container. 🧩 Hash sum → 1e8cf13d8c98714e138ba72812862f90 — Update date: 2026-06-24 Verify CPU: multi-threading optimized for fast prompt processing RAM: 64 GB to avoid OOM crashes on large … Läs mer