Categoría: Checkpoints
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How to Launch Qwen3-ASR-1.7B Fully Jailbroken
🔗 SHA sum: 74697930d40ac56b236046d4054e6684 | Updated: 2026-07-23 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: 64 GB to avoid OOM crashes on large contexts Disk Space: required: fast PCIe 4.0 drive for instant boots GPU: high memory bandwidth GPU for next-gen local AI pipeline Overview of Qwen3-ASR-1.7B Model The Qwen3-ASR-1.7B model is…
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Setup gemma-4-26B-A4B-it-QAT-MLX-4bit via WebGPU (Browser) No Python Required Full Method
💾 File hash: 7c283f0c4c06227955ac2f856593eed1 (Update date: 2026-07-23) Verify CPU: multi-threading optimized for fast prompt processing RAM: enough space for background apps and OS overhead Disk: 150+ GB for high-context vector database storage GPU: 16 GB+ video memory highly recommended for exl2 / AWQ formats This is a large language model built on the Gemma architecture,…
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Full Deployment gemma-3-270m PC with NPU No Python Required For Beginners
🧮 Hash-code: dcb96bc14bf656434edcad2b1caaf21d • 📆 2026-07-20 Verify CPU: 8-core / 16-thread recommended for orchestration RAM: fast 5600MHz+ required to avoid memory bottlenecks Disk Space: 100 GB for multi-modal model vision components Graphics: TensorRT-LLM / vLLM inference engine compatible chip Unlocking the Power of Open-Source Language Models The Gemma-3-270M model represents a significant step forward in…
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How to Deploy gpt-oss-20b on Copilot+ PC 5-Minute Setup
🗂 Hash: ed865b267a56b459da710e688657ac5a • Last Updated: 2026-07-16 Verify CPU: modern architecture (Zen 3 / Alder Lake minimum) RAM: 32 GB highly recommended for 26B+ GGUF models Disk Space:70 GB free space for full FP16 weights storage GPU: modern architecture (Ada Lovelace / Ampere minimum) Revolutionizing Open-Source Large Language Models The introduction of the gpt-oss-20b model…