gemma-4-26B-A4B-it No Python Required

📤 Release Hash: 3f6e7950125e48039f1c095e785e0c17 • 📅 Date: 2026-07-17 Verify Processor: 4.0 GHz+ boost clock recommended for CPU inference RAM: 48 GB needed to prevent memory swapping to disk Disk: 150+ GB for high-context vector database storage Graphics: CUDA Compute Capability…

jina-reranker-v3 PC with NPU

🛠 Hash code: a38a95dbc8022b064f897af7c69bea61 — Last modification: 2026-07-19 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: at least 32 GB in dual-channel mode for bandwidth Disk Space: at least 100 GB for multiple local LLM variants Graphic Processor: hardware…

gemma-4-E4B-it-GGUF via WebGPU (Browser) Dummy Proof Guide

🔒 Hash checksum: 3616b807a6db2dc135db2cc0775b3e7b • 📆 Last updated: 2026-07-20 Verify Processor: high single-core performance needed for token latency RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk Space: 80 GB NVMe SSD required for fast model weights loading Graphics: stable…

Qwen3.6-27B-AWQ

📦 Hash-sum → 4d4bceb4a414f26625a36fdc4f6773e6 | 📌 Updated on 2026-07-18 Verify CPU: 8-core / 16-thread recommended for orchestration RAM: 64 GB to avoid OOM crashes on large contexts Disk Space: free: 80 GB on system drive for scratch space Graphics: 12…