Datasets under 4k context for easy Kaggle workflow avoiding cut off examples.
In The Loop Labs
non-profit
AI & ML interests
Chain-of-Thought (CoT) Distillation, Knowledge Distillation, Distilled Datasets, Agent Traces, “PreTrain, FineTune, Training LLMs”, Abliteration, Refusal Removal, Cybersecurity, Intelligence Amplification, LLM Merging, (MoE) Merging, Agentic Swarms, “Agentic Skills & Tool Calling” “Coding PYQT6 GUI’s”, etc.
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models 8
ITLL/wolf-defender-prompt-injection
Text Classification • 0.3B • Updated
ITLL/granite-4.2-8b-heretic-GGUF
Text Generation • 9B • Updated
ITLL/MiniCPM5-1B-Agent-GGUF
Text Generation • 1B • Updated
ITLL/Qwythos-9B-Claude-Mythos-5-1M-GGUF
Image-Text-to-Text • 9B • Updated
ITLL/MiniCPM5-1B-Claude-Opus-Fable5-V2-Thinking-GGUF
Text Generation • 1B • Updated
ITLL/Qwen3.5-9B-The-Defiant-Fable-Uncensored-Heretic-NEO-IMATRIX-MAX-MTP-GGUF
Image-Text-to-Text • 9B • Updated
ITLL/Opus4.7-GODs.Ghost.Codex-4B.GGuF
4B • Updated • 155
ITLL/IBM-Grok4-UltraFast-Coder-1B-GGUF
2B • Updated • 192