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model.ckpt inference state, the verified 44-label encoder,
bundle-local Llama tokenizer and WavLM configuration, and all runtime modules needed by the wrapper, so loading
does not contact Hugging Face.1python -m pip install -U huggingface_hub
2hf download Haopeng/MDD-LLM-Llama3.2-1B-L2-ARCTIC --local-dir MDD-LLM-Llama3.2-1B-L2-ARCTIC
3cd MDD-LLM-Llama3.2-1B-L2-ARCTIC1pip install -r requirements.txt
2python custom_interface.py \
3 --hparams-file hyperparams.yaml \
4 --audio /path/to/audio.wav \
5 --override 'prompt_system_text=You are a pronunciation evaluator.' \
6 --override 'prompt_user_text=Return only the perceived phoneme sequence.'main branch:1python train.py hparams/MDD_LLM_Llama3_2_1B.yaml \
2 --mode eval \
3 --inference_ckpt /path/to/MDD-LLM-Llama3.2-1B-L2-ARCTICHF_HUB_OFFLINE=1 TRANSFORMERS_OFFLINE=1 to enforce offline loading.
manifest.json records the required recoverables, architecture signature,
defaults, and label-encoder SHA256.