Video-Text-to-Text
Transformers
Safetensors
English
Chinese
qwen2_5_vl
image-text-to-text
video-understanding
multimodal
SWIM
Qwen2.5-VL
fine-grained-understanding
Eval Results (legacy)
text-generation-inference
Instructions to use BBBBCHAN/SWIM-7B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BBBBCHAN/SWIM-7B with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForImageTextToText processor = AutoProcessor.from_pretrained("BBBBCHAN/SWIM-7B") model = AutoModelForImageTextToText.from_pretrained("BBBBCHAN/SWIM-7B") - Notebooks
- Google Colab
- Kaggle
File size: 3,224 Bytes
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"architectures": [
"Qwen2_5_VLForConditionalGeneration"
],
"attention_dropout": 0.0,
"eos_token_id": 151645,
"hidden_act": "silu",
"hidden_size": 3584,
"image_token_id": 151655,
"initializer_range": 0.02,
"intermediate_size": 18944,
"max_position_embeddings": 128000,
"max_window_layers": 28,
"model_type": "qwen2_5_vl",
"num_attention_heads": 28,
"num_hidden_layers": 28,
"num_key_value_heads": 4,
"pad_token_id": 151643,
"rms_norm_eps": 1e-06,
"rope_scaling": {
"mrope_section": [
16,
24,
24
],
"rope_type": "default",
"type": "default"
},
"rope_theta": 1000000.0,
"sliding_window": 32768,
"text_config": {
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],
"attention_dropout": 0.0,
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"hidden_act": "silu",
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"image_token_id": null,
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"layer_types": [
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"full_attention",
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],
"max_position_embeddings": 128000,
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"model_type": "qwen2_5_vl_text",
"num_attention_heads": 28,
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"num_key_value_heads": 4,
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"rope_scaling": {
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24,
24
],
"rope_type": "default",
"type": "default"
},
"rope_theta": 1000000.0,
"sliding_window": null,
"torch_dtype": "bfloat16",
"use_cache": true,
"use_sliding_window": false,
"video_token_id": null,
"vision_end_token_id": 151653,
"vision_start_token_id": 151652,
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"vocab_size": 152064
},
"tie_word_embeddings": false,
"torch_dtype": "bfloat16",
"transformers_version": "4.56.0.dev0",
"use_cache": true,
"use_sliding_window": false,
"video_token_id": 151656,
"vision_config": {
"depth": 32,
"fullatt_block_indexes": [
7,
15,
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],
"hidden_act": "silu",
"hidden_size": 1280,
"in_channels": 3,
"in_chans": 3,
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"model_type": "qwen2_5_vl",
"num_heads": 16,
"out_hidden_size": 3584,
"patch_size": 14,
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"temporal_patch_size": 2,
"tokens_per_second": 2,
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"window_size": 112
},
"vision_end_token_id": 151653,
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}
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