Reasoning Tag Format

The model uses a specific Tetralemma/Deconstructionist XML structure:

<reason> initial explanation </reason>
<exception> counterfactual explanation </exception>
<tension> divergence explanation </tension>
<categorization> rule & exception segregation </categorization>
<deconstruction> rule & exception refutation </deconstruction>
<conclusion> recap of entire sequence </conclusion>

Qwen2.5-3B-Deconstruct-V2-103-GGUF : GGUF

This model was finetuned and converted to GGUF format using Unsloth.

Example usage:

  • For text only LLMs: ./llama.cpp/llama-cli -hf RinKana/Qwen2.5-3B-Deconstruct-V2-103-GGUF --jinja
  • For multimodal models: ./llama.cpp/llama-mtmd-cli -hf RinKana/Qwen2.5-3B-Deconstruct-V2-103-GGUF --jinja

Available Model files:

  • Qwen2.5-3B-Instruct.Q4_K_M.gguf

Ollama

An Ollama Modelfile is included for easy deployment. This was trained 2x faster with Unsloth

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GGUF
Model size
3B params
Architecture
qwen2
Hardware compatibility
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4-bit

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Dataset used to train RinKana/Qwen2.5-3B-Deconstruct-V2-103-GGUF