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EchoLoc

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EchoLoc / CHECKPOINTS.md
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Document unified EchoLoc code and checkpoints repository
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Released Checkpoints

The checkpoints below are the model artifacts used for the reported best EchoLoc Thinker+Talker evaluation. They are stored in this repository under checkpoints/ and are separate from the source-only MANIFEST.tsv.

Thinker

  • Repository path: checkpoints/thinker/
  • Training artifact: Iter006 latest_final_model
  • Format: PEFT LoRA adapter with tokenizer and processor assets
  • Base model: Qwen/Qwen3-Omni-30B-A3B-Instruct
  • Main file: adapter_model.safetensors
  • Size: 4,642,233,208 bytes
  • SHA-256: cf716ae5bb40a49ef75f642229a0e7ca74e381925e21c66f8d161aa128514ac2

Talker

  • Repository path: checkpoints/talker/
  • Training artifact: qwen3omni_talker_vstyle_46000
  • Format: Talker state dictionary with tokenizer assets
  • Main file: pytorch_model.bin
  • Size: 3,833,490,035 bytes
  • SHA-256: cd1e07334a94b59f827f55c6805b80a3ac8e0ed9b9c92217590ede712783b335

The Talker loader first initializes the merged Qwen3-TTS Base/VoiceDesign origin and then loads this state dictionary into the inner Talker. See checkpoints/talker/README.md and RUNBOOK.md for the exact commands.