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vLLM-compatible DeepFrame (from sdioteam/deepframe@v0.2)

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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model:
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+ - Qwen/Qwen3-VL-8B-Instruct
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+ tags:
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+ - video-understanding
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+ - multimodal
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+ - audio-visual
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+ - video-salmonn
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+ - qwen3-vl
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+ ---
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+
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+ # DeepFrame v0.2: Qwen3-VL-8B with Audio Encoder
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+
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+ **DeepFrame** is a multimodal video understanding model based on Qwen3-VL-8B-Instruct, extended with audio processing capabilities from Video-SALMONN-2+.
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+
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+ ## ⚠️ Important: This is a Full Model (Not LoRA Adapter)
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+
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+ v0.2 is a **fully merged model**, not a LoRA adapter. Load it directly:
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+
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+ ```python
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+ from transformers import AutoModelForCausalLM, AutoProcessor
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+
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+ # Load the full model directly
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+ model = AutoModelForCausalLM.from_pretrained(
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+ "sdioteam/deepframe",
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+ trust_remote_code=True,
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+ torch_dtype=torch.bfloat16,
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+ device_map="auto"
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+ )
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+ processor = AutoProcessor.from_pretrained("sdioteam/deepframe")
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+ ```
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+
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+ **Do NOT use `PeftModel.from_pretrained()`** - this will fail as there are no LoRA adapter weights.
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+
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+ ## Architecture
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+
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+ - **Base**: Qwen3-VL-8B-Instruct
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+ - **Vision**: Qwen3VLVisionModel with DeepStack features
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+ - `visual.merger.norm` (LayerNorm)
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+ - `visual.merger.linear_fc1/fc2`
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+ - `visual.deepstack_merger_list` (multi-level feature fusion)
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+ - **Audio**: WhisperEncoder + QFormer
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+ - `audio.conv1/conv2` (Whisper frontend)
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+ - `audio.layers.*` (Whisper encoder blocks)
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+ - `audio.qformer.*` (BERT-based projector)
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+ - `audio.q_tokens` (learnable queries)
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+ - `audio.audio_proj` (projection to LLM hidden size)
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+ - **LLM**: Qwen3-8B language model
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+
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+ ## Model Type
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+
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+ ```json
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+ {
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+ "model_type": "qwen3_vl_audio",
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+ "architectures": ["VideoSALMONN2_Qwen3"]
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+ }
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+ ```
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+
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+ ## Versions
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+
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+ | Version | Architecture | Type | Notes |
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+ |---------|--------------|------|-------|
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+ | v0.1 | Qwen2.5-VL-7B | LoRA adapter | Deprecated |
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+ | **v0.2** | **Qwen3-VL-8B** | **Full model** | Current - Fixed audio encoder |
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+
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+ ## Key Differences from v0.1
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+
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+ - **Qwen3-VL** (not Qwen2.5-VL) - Includes DeepStack multi-level vision features
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+ - **`visual.merger.norm`** instead of `visual.merger.ln_q` (architectural change)
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+ - **Full model weights** - No LoRA adapter needed
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+ - **Fixed audio encoder** - Properly initialized q_tokens and audio_proj
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+
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+ ## Usage
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+
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+ ```python
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+ import torch
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+ from transformers import AutoModelForCausalLM, AutoProcessor
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+
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+ model = AutoModelForCausalLM.from_pretrained(
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+ "sdioteam/deepframe",
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+ revision="v0.2", # Or "main"
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+ trust_remote_code=True,
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+ torch_dtype=torch.bfloat16,
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+ device_map="auto"
86
+ )
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+
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+ processor = AutoProcessor.from_pretrained("sdioteam/deepframe")
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+ ```
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+
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+ ## Training
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+
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+ - **Stage 1**: Audio alignment on LibriSpeech + YouTube hybrid dataset (~700K samples)
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+ - **Stage 2**: Audio-Visual SFT on mixed dataset
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+
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+ ## License
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+
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+ Apache 2.0
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @misc{deepframe2024,
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+ title={DeepFrame: Multimodal Video Understanding with Audio},
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+ year={2024}
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+ }
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+ ```
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special_tokens_map.json ADDED
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+ {
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tokenizer_config.json ADDED
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video_preprocessor_config.json ADDED
@@ -0,0 +1,41 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
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+ }
vocab.json ADDED
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