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    • Processor: Intel i7 / Ryzen 7 for heavy Quantized models
    • RAM: enough space for background apps and OS overhead
    • Disk Space: at least 100 GB for multiple local LLM variants
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    Key Performance Indicators Value
    Number of Parameters 26 billion
    Context Length (Tokens) 8K
    Quantization Technique Gemma-4 with QAT (GGUF)
    Primary Functionality Text Generation, Code Generation, QA

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    📡 Hash Check: f96ecaa7fbd20b2c34dd40e9bcd8535c | 📅 Last Update: 2026-07-15
    • CPU: 8-core / 16-thread recommended for orchestration
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    *

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