| # 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. | |