hotdogs/frankenmoe
153
๐งช FrankenMoE โ Proof of Concept (NOT production)
This is a technical experiment, not a useful model.
โ ๏ธ Important Warning
This repository documents a proof-of-concept MoE pipeline. The model quality is NOT good โ it produces incoherent / random outputs because:
- The router uses (no training)
- Experts were fine-tuned with only ~5K samples each
- Base model is only Qwen2.5-1.5B-Instruct
Do NOT use this model for anything serious. It exists purely to demonstrate that the FrankenMoE pipeline can be built end-to-end.
What We Actually Built
A working MoE pipeline from dense LoRA experts โ GGUF:
Qwen2.5-1.5B-Instruct (base)
โโโ Expert 0: Coding (LoRA fine-tuned)
โโโ Expert 1: Math (LoRA fine-tuned)
โโโ Shared Expert: Base modelKey Technical Discoveries
Repository Structure
๐ฆ frankenmoe_moe_v2-F16.gguf โ MoE GGUF (fixed, has output.weight)
๐ moe_full/ โ Full safetensors model
๐ coding/ math/ chat/ โ Individual dense experts (LoRA + GGUF)
๐ FrankenMoE_Academic_Paper.pdf โ Research paper
๐ simple_router.py โ Keyword-based router (functional alternative)Quick Test
wget https://huggingface.co/hotdogs/frankenmoe/resolve/main/frankenmoe_moe_v2-F16.gguf
llama-cli -m frankenmoe_moe_v2-F16.gguf -p "Write a Python function"
# Output: Random/incoherent โ this is expected! See warning above.Future: Real Model
The pipeline will be re-run with:
- Larger base model (Qwen2.5-7B/14B)
- Trained router (classification loss)
- More training data per domain
- 4 experts for proper 2^n routing
Stay tuned โ the real model is coming.
Built by UKA ๐น๐ญ | May 2026
