Instructions to use TencentBAC/U-MARVEL-Qwen2VL-7B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TencentBAC/U-MARVEL-Qwen2VL-7B-Instruct with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForSeq2SeqLM processor = AutoProcessor.from_pretrained("TencentBAC/U-MARVEL-Qwen2VL-7B-Instruct") model = AutoModelForSeq2SeqLM.from_pretrained("TencentBAC/U-MARVEL-Qwen2VL-7B-Instruct", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 1,234 Bytes
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"_name_or_path": "./checkpoints/qwen2-vl-7b_BiLamRA_Ret_cc3m_llm_8m8g_4xlr_train_temperature_global_mixed_hard_neg_all_8m8g_1point5e-5-two_strategy_train_temperature-merged",
"architectures": [
"Qwen2VLRetFinetuneForConditionalGeneration"
],
"attention_dropout": 0.0,
"bos_token_id": 151643,
"eos_token_id": 151645,
"hidden_act": "silu",
"hidden_size": 3584,
"image_token_id": 151655,
"initializer_range": 0.02,
"intermediate_size": 18944,
"max_position_embeddings": 32768,
"max_window_layers": 28,
"model_type": "qwen2_vl",
"num_attention_heads": 28,
"num_hidden_layers": 28,
"num_key_value_heads": 4,
"rms_norm_eps": 1e-06,
"rope_scaling": {
"mrope_section": [
16,
24,
24
],
"type": "mrope"
},
"rope_theta": 1000000.0,
"sliding_window": 32768,
"tie_word_embeddings": false,
"torch_dtype": "bfloat16",
"transformers_version": "4.45.0.dev0",
"use_cache": true,
"use_sliding_window": false,
"video_token_id": 151656,
"vision_config": {
"in_chans": 3,
"model_type": "qwen2_vl",
"spatial_patch_size": 14
},
"vision_end_token_id": 151653,
"vision_start_token_id": 151652,
"vision_token_id": 151654,
"vocab_size": 152064
}
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