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magistral-small-1.1-gguf", "https://huggingface.co/mistralai/Magistral-Small-2507-GGUF", 3 * 1024 * 1024 * 1024 | |
qwen3-4b-thinking-gguf", "https://huggingface.co/Qwen/Qwen3-4B-Thinking-2507", 2500000000 | |
mistral-small-3.2-24b-gguf", "https://huggingface.co/mistralai/Mistral-Small-3.2-24B-Instruct-2506", 14 * 1024 * 1024 * 1024 | |
nv-embed-v2-gguf", "https://huggingface.co/nvidia/NV-Embed-v2", 800 * 1024 * 1024 | |
qwen3-embedding-0.6b-gguf", "https://huggingface.co/Qwen/Qwen3-Embedding-0.6B", 500 * 1024 * 1024 | |
smollm3-3b-gguf", "https://huggingface.co/HuggingFaceTB/SmolLM3-3B", 1800 * 1024 * 1024 | |
smolvlm2-256m-video-gguf", "https://huggingface.co/HuggingFaceTB/SmolVLM2-256M-Video-Instruct", 250 * 1024 * 1024 | |
smollm-135m-python-gguf", "https://huggingface.co/Frax01/SmolLM-135M-python-code-instructions", 100 * 1024 * 1024 | |
smolvlm-chartqa-gguf", "https://huggingface.co/Aexyno/smolvlm-instruct-trl-sft-ChartQA", 350 * 1024 * 1024 | |
arch-router-1.5b-gguf", "https://huggingface.co/Mungert/Arch-Router-1.5B-G |
This document outlines a comprehensive safety framework for Plato, transforming it from a proof-of-concept into a production-ready, compliance-first educational platform. The plan addresses critical vulnerabilities in the current implementation and introduces advanced reasoning layers to ensure safe, educationally appropriate AI interactions for K-12 students.
Key Objectives:
- Achieve 100% COPPA/FERPA compliance
- Implement multi-layer content safety validation
- Deploy advanced reasoning-based safety systems