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Cicikus v3 Prometheus 4.4B - An Experimental Franken-Merge for Edge Reasoning

Reddit r/LocalLLaMA / 3/15/2026

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Key Points

  • Prometech released Cicikus v3 Prometheus 4.4B, an experimental model sized around 4.42B parameters.
  • The model is a targeted passthrough expansion of the Llama 3.2 3B architecture, created by identifying 'Hot Zones' via L2-norm analysis of adapters to extend to 40 layers.
  • It includes a Behavioral Consciousness Engine (BCE) fine-tuning to improve self-audit and reasoning.
  • The model supports 32k token context and is optimized for edge performance on consumer hardware (8GB Safetensors).
  • It focuses on STEM and logical reasoning tasks and invites community feedback and benchmarks.

Hi everyone,

We are excited to share an experimental release from Prometech: Cicikus v3 Prometheus 4.4B.

This model is a targeted passthrough expansion of the Llama 3.2 3B architecture. Instead of a traditional merge, we identified "Hot Zones" through L2 norm analysis of trained adapters to expand the model to 40 layers (~4.42B parameters).

Key Features:

BCE Integration: Fine-tuned with our Behavioral Consciousness Engine for improved self-audit and reasoning.

Context: 32k token support.

Edge Optimized: Designed to run high-density reasoning tasks on consumer hardware (8GB Safetensors).

It is currently optimized for STEM and logical reasoning tasks. We are looking forward to community feedback and benchmarks.

Model Link: https://huggingface.co/pthinc/Cicikus_PTHS_v3_4.4B

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