| # Hugging Face Upload (Qwen3-Omni LoRA Adapter) |
|
|
| The verified public result packages intentionally exclude adapter weights. LoRA |
| weights are uploaded separately as a model repository after the eval package and |
| audit pass. |
|
|
| Current intended target: |
|
|
| - Model repo: `cy0307/ropedia-qwen3-omni-lora-128ep` |
| - Source package: `results/omni_finetune/hf_upload_qwen3_128ep_v6_rank64/` |
| - Package builder: `scripts/omni/prepare_qwen3_lora_hf_package.py` |
| - Upload script: `scripts/omni/upload_qwen3_omni_lora_to_hf.py` |
|
|
| Prepare the upload directory from the completed adapter and verified summary: |
|
|
| ```bash |
| python3 scripts/omni/prepare_qwen3_lora_hf_package.py \ |
| --adapter-dir checkpoints/xperience10m_qwen3_omni_128ep_multiscale_cap96_v6_rank64_lr5e5_full8gpu_lora/adapter_lora \ |
| --verified-summary results/omni_finetune/verified_public/xperience10m_qwen3_omni_128ep_multiscale_cap96_v6_rank64_lr5e5_full8gpu_lora_eval_test_full/verified_result_summary.json \ |
| --output-dir results/omni_finetune/hf_upload_qwen3_128ep_v6_rank64 \ |
| --repo-id cy0307/ropedia-qwen3-omni-lora-128ep |
| ``` |
|
|
| Upload when network and `HF_TOKEN` are available: |
|
|
| ```bash |
| HF_TOKEN=<your_token> python3 scripts/omni/upload_qwen3_omni_lora_to_hf.py \ |
| --repo-id cy0307/ropedia-qwen3-omni-lora-128ep \ |
| --source-dir results/omni_finetune/hf_upload_qwen3_128ep_v6_rank64 \ |
| --message "Upload Xperience-10M 128-episode Qwen3-Omni LoRA adapter" |
| ``` |
|
|
| The prepared model repo includes PEFT adapter files, tokenizer/processor |
| sidecars when present, a generated model card, and `upload_manifest.json` with |
| file hashes. It must not include raw Xperience-10M MP4/HDF5/RRD files, Qwen base |
| weights, full FSDP checkpoints, or optimizer state. |
|
|
| Older smoke/pilot adapter material may still exist in |
| `results/omni_finetune/hf_upload/` and at |
| `cy0307/ropedia-qwen3-omni-lora-smoke`. Do not use those paths for the final |
| 128-episode full-run publication. |
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|
