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.gitattributes

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+tokenizer.json filter=lfs diff=lfs merge=lfs -text

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: Qwen/Qwen2-VL-72B-Instruct
+tags:
+- llama-factory
+- full
+- generated_from_trainer
+model-index:
+- name: TVC-7B
+  results: []
+---
+
+## Model Summary
+
+The TVC models are 72B parameter models based on Qwen2-VL-72B-Instruct model with a context window of 8K tokens.
+
+- **Repository:** https://github.com/xxx
+- **Languages:** English, Chinese
+- **Paper:** https://arxiv.org/abs/xxx
+
+
+### Model Architecture
+
+- **Architecture:** Qwen2-VL-72B-Instruct
+- **Data:** a mixture of 300k long-chain reasoning data
+- **Precision:** BFloat16
+
+#### Hardware & Software
+
+- **Hardware:** 64 * NVIDIA Tesla H20
+- **Orchestration:** HuggingFace Trainer
+- **Code:** Pytorch
+
+### Framework versions
+
+- Transformers 4.46.1
+- Pytorch 2.5.1+cu124
+- Datasets 3.1.0
+- Tokenizers 0.20.3
+
+## Citation

added_tokens.json

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+}

chat_template.json

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+}

config.json

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+  "_name_or_path": "Qwen/Qwen2-VL-72B-Instruct",
+  "architectures": [
+    "Qwen2VLForConditionalGeneration"
+  ],
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+  "hidden_act": "silu",
+  "hidden_size": 8192,
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+  "initializer_range": 0.02,
+  "intermediate_size": 29568,
+  "max_position_embeddings": 32768,
+  "max_window_layers": 80,
+  "model_type": "qwen2_vl",
+  "num_attention_heads": 64,
+  "num_hidden_layers": 80,
+  "num_key_value_heads": 8,
+  "rms_norm_eps": 1e-06,
+  "rope_scaling": {
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+      24,
+      24
+    ],
+    "rope_type": "default",
+    "type": "default"
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+  "tie_word_embeddings": false,
+  "torch_dtype": "bfloat16",
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+  "vision_config": {
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+    "in_chans": 3,
+    "model_type": "qwen2_vl",
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+  "vision_start_token_id": 151652,
+  "vision_token_id": 151654,
+  "vocab_size": 152064
+}

generation_config.json

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preprocessor_config.json

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