Initial release: AF3 + PCLM + DPO

.gitattributes

@@ -33,3 +33,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+llm/tokenizer.json filter=lfs diff=lfs merge=lfs -text
+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

@@ -0,0 +1,93 @@
+---
+license: other
+license_name: usc-research
+license_link: https://github.com/ihp-lab/VoxParadox/blob/main/LICENSE
+language:
+- en
+base_model: nvidia/audio-flamingo-3
+tags:
+- audio
+- speech
+- audio-llm
+- paralinguistic
+- pclm
+- dpo
+- voxparadox
+pipeline_tag: audio-text-to-text
+---
+
+# Audio Flamingo 3 + PCLM + DPO
+
+PCLM- and DPO-finetuned [Audio Flamingo 3](https://huggingface.co/nvidia/audio-flamingo-3) from
+*Do Audio LLMs Listen or Read? Analyzing and Mitigating Paralinguistic Failures with VoxParadox*
+(ICML 2026).
+
+The base model is augmented with the **Prompt-Conditioned Layer Mixer (PCLM)** — a lightweight module that
+adaptively mixes representations from intermediate AF-Whisper encoder layers based on the user prompt — and
+then post-trained with **Direct Preference Optimization (DPO)** to prefer acoustically-grounded answers over
+language-implied alternatives on paralinguistic MCQs.
+
+## Layout
+
+Unlike a stock HF model, AF3 ships its weights split across subfolders:
+
+```
+.
+├── config.json                    # top-level AF3 config (PCLM fields included)
+├── llm/                            # frozen + DPO-tuned Qwen2 LLM
+├── sound_tower/                    # AF-Whisper audio encoder
+├── sound_mm_projector/             # final-layer audio→LLM projector
+├── sound_mid_mm_projector_{5,15,25,30}/   # intermediate-layer projectors (PCLM)
+├── sound_pclm/                     # BERT-small prompt encoder + gate MLP
+└── tokenizer files (vocab.json, merges.txt, …)
+```
+
+## Usage
+
+This checkpoint cannot be loaded with stock `transformers` — AF3 + PCLM requires the
+custom modeling code shipped in the [release repo](https://github.com/ihp-lab/VoxParadox).
+
+```bash
+git clone https://github.com/ihp-lab/VoxParadox
+cd VoxParadox/af3/audio-flamingo
+bash environment_setup.sh af3
+conda activate af3
+```
+
+Inference on VoxParadox (or any MCQ JSON in the same schema):
+
+```bash
+bash scripts/eval_voxparadox.sh \
+    IHP-Lab/AF3_PCLM_DPO \
+    /path/to/voxparadox.json \
+    /path/to/audio_root \
+    runs/eval/af3_pclm_dpo
+```
+
+Score with the dataset-shipped `eval.py`:
+
+```bash
+python eval.py --predictions runs/eval/af3_pclm_dpo/predictions.jsonl
+```
+
+PCLM activation is read from this checkpoint's `config.json`
+(`expose_layers=[5, 15, 25, 30]`, `use_sound_pclm=true`).
+
+## Citation
+
+```bibtex
+@inproceedings{pang2026voxparadox,
+  title     = {Do Audio LLMs Listen or Read? Analyzing and Mitigating Paralinguistic Failures with VoxParadox},
+  author    = {Pang, Jiacheng and Chaubey, Ashutosh and Soleymani, Mohammad},
+  booktitle = {Proceedings of the International Conference on Machine Learning (ICML)},
+  year      = {2026}
+}
+```
+
+## License
+
+USC Research License (research / non-profit only). See the
+[license file](https://github.com/ihp-lab/VoxParadox/blob/main/LICENSE).
+
+The base model (`nvidia/audio-flamingo-3`) carries the NVIDIA non-commercial license
+terms, which continue to apply to the inherited weights.

added_tokens.json

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+  "<image>": 151666,
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+  "<speech>": 151668,
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+}

config.json

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+{
+  "Ubit": 100,
+  "_attn_implementation_autoset": true,
+  "_name_or_path": "IHP-Lab/AF3_PCLM_DPO",
+  "architectures": [
+    "LlavaLlamaModel"
+  ],
+  "babit": "E5M2",
+  "bobit": "E5M2",
+  "bwbit": "E5M2",
+  "chat_template": "qwen2",
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+  "draw_distribution_forward": false,
+  "drop_path_rate": 0.0,
+  "dynamic_s2": true,
+  "epsilon": 1e-10,
+  "epsilon_optimizer": 1e-15,
+  "expose_layers": [
+    5,
+    15,
+    25,
+    30
+  ],
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+  "image_aspect_ratio": "dynamic_s2",
+  "image_encoder": {
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+  },
+  "interpolate_mode": "linear",
+  "llm_cfg": {
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+    "_name_or_path": "/wekafs/ict/pangj/voxparadox/af3/audio-flamingo/runs/train/stage5_af3_ws4_para_dpo9/tmp-checkpoint-200/llm",
+    "add_cross_attention": false,
+    "architectures": [
+      "Qwen2ForCausalLM"
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+      "1": "LABEL_1"
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+  "sound_pclm_text_model": "prajjwal1/bert-small",
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+  },
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+  "version": "auto",
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+    "_target_": "llava.model.encoders.BasicVideoEncoder"
+  },
+  "video_max_tiles": 1,
+  "vision_resolution": -1,
+  "vision_tower": "Efficient-Large-Model/paligemma-siglip-so400m-patch14-448",
+  "vision_tower_cfg": "Efficient-Large-Model/paligemma-siglip-so400m-patch14-448",
+  "vision_tower_lr": null,
+  "weight_memory_efficient": true
+}

llm/added_tokens.json

@@ -0,0 +1,31 @@
+{
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+  "<sound>": 151669,
+  "<speech>": 151668,
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+}

llm/config.json

@@ -0,0 +1,30 @@
+{
+  "_name_or_path": "llm",
+  "architectures": [
+    "Qwen2ForCausalLM"
+  ],
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+  "model_type": "qwen2",
+  "num_attention_heads": 28,
+  "num_hidden_layers": 28,
+  "num_key_value_heads": 4,
+  "rms_norm_eps": 1e-06,
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+  "rope_theta": 1000000.0,
+  "sliding_window": null,
+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
+  "transformers_version": "4.46.0",
+  "use_cache": false,
+  "use_sliding_window": false,
+  "vocab_size": 151672
+}

llm/generation_config.json

@@ -0,0 +1,14 @@
+{
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+  "do_sample": true,
+  "eos_token_id": [
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