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resonance-lab

Python project for Resonance Stream, which generate output for translator model, based from Qwen 3 1.7B

Prerequisites

  • Python 3.13
  • Windows OS (Linux not tested yet)
  • CUDA Toolkit 2.6

Convert to Model (F16 -> GGUF -> q4_k_m)

  • Make sure model_f16_clean config.json "architectures": "Qwen3ForCausalLM"
  • git clone --recursive https://github.com/ggerganov/llama.cpp
  • cmake -B build
  • cmake --build build --config Release -j
  • python llama.cpp/convert_hf_to_gguf.py model_f16_clean --outfile model.f16.gguf
  • llama.cpp/build/bin/Release/llama-quantize.exe .\model.f16.gguf model_q4_k_m.gguf q4_k_m

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Python project for Resonance Stream, which generate output for translator model, based on Qwen3-4B

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