Model save
Browse files- .gitattributes +1 -0
- README.md +58 -0
- added_tokens.json +24 -0
- all_results.json +8 -0
- chat_template.jinja +7 -0
- config.json +105 -0
- generation_config.json +12 -0
- merges.txt +0 -0
- model-00001-of-00002.safetensors +3 -0
- model-00002-of-00002.safetensors +3 -0
- model.safetensors.index.json +831 -0
- special_tokens_map.json +31 -0
- tokenizer.json +3 -0
- tokenizer_config.json +207 -0
- train_results.json +8 -0
- trainer_state.json +1375 -0
- training_args.bin +3 -0
- vocab.json +0 -0
.gitattributes
CHANGED
@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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tokenizer.json filter=lfs diff=lfs merge=lfs -text
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README.md
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---
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base_model: Qwen/Qwen2.5-VL-3B-Instruct
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library_name: transformers
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model_name: Qwen2.5-VL-3B-Instruct-Agentic-GUI
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tags:
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- generated_from_trainer
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- trl
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- sft
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licence: license
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---
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# Model Card for Qwen2.5-VL-3B-Instruct-Agentic-GUI
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This model is a fine-tuned version of [Qwen/Qwen2.5-VL-3B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-3B-Instruct).
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It has been trained using [TRL](https://github.com/huggingface/trl).
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## Quick start
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```python
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from transformers import pipeline
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question = "If you had a time machine, but could only go to the past or the future once and never return, which would you choose and why?"
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generator = pipeline("text-generation", model="A-Mahla/Qwen2.5-VL-3B-Instruct-Agentic-GUI", device="cuda")
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output = generator([{"role": "user", "content": question}], max_new_tokens=128, return_full_text=False)[0]
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print(output["generated_text"])
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```
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## Training procedure
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[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/huggingface/smolagents/runs/7y8mgnns)
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This model was trained with SFT.
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### Framework versions
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- TRL: 0.18.0
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- Transformers: 4.52.3
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- Pytorch: 2.6.0
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- Datasets: 4.0.0
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- Tokenizers: 0.21.2
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## Citations
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Cite TRL as:
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```bibtex
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@misc{vonwerra2022trl,
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title = {{TRL: Transformer Reinforcement Learning}},
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author = {Leandro von Werra and Younes Belkada and Lewis Tunstall and Edward Beeching and Tristan Thrush and Nathan Lambert and Shengyi Huang and Kashif Rasul and Quentin Gallou{\'e}dec},
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year = 2020,
|
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journal = {GitHub repository},
|
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publisher = {GitHub},
|
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howpublished = {\url{https://github.com/huggingface/trl}}
|
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}
|
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```
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added_tokens.json
ADDED
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{
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"</tool_call>": 151658,
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"<tool_call>": 151657,
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"<|box_end|>": 151649,
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"<|box_start|>": 151648,
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"<|endoftext|>": 151643,
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"<|file_sep|>": 151664,
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"<|fim_middle|>": 151660,
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"<|fim_pad|>": 151662,
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"<|fim_prefix|>": 151659,
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"<|fim_suffix|>": 151661,
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"<|im_end|>": 151645,
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"<|im_start|>": 151644,
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"<|image_pad|>": 151655,
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"<|object_ref_end|>": 151647,
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"<|object_ref_start|>": 151646,
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"<|quad_end|>": 151651,
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"<|quad_start|>": 151650,
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"<|repo_name|>": 151663,
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"<|video_pad|>": 151656,
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"<|vision_end|>": 151653,
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"<|vision_pad|>": 151654,
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"<|vision_start|>": 151652
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}
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all_results.json
ADDED
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{
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"total_flos": 1.2125984924893184e+16,
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"train_loss": 0.645972225476395,
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+
"train_runtime": 88419.8411,
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"train_samples": 360252,
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"train_samples_per_second": 4.074,
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"train_steps_per_second": 0.008
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}
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chat_template.jinja
ADDED
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{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% for message in messages %}{% if loop.first and message['role'] != 'system' %}<|im_start|>system
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You are a helpful assistant.<|im_end|>
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{% endif %}<|im_start|>{{ message['role'] }}
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{% if message['content'] is string %}{{ message['content'] }}<|im_end|>
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{% else %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% if add_vision_id %}Picture {{ image_count.value }}: {% endif %}<|vision_start|><|image_pad|><|vision_end|>{% elif content['type'] == 'video' or 'video' in content %}{% set video_count.value = video_count.value + 1 %}{% if add_vision_id %}Video {{ video_count.value }}: {% endif %}<|vision_start|><|video_pad|><|vision_end|>{% elif 'text' in content %}{{ content['text'] }}{% endif %}{% endfor %}<|im_end|>
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{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant
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{% endif %}
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config.json
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{
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"architectures": [
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"Qwen2_5_VLForConditionalGeneration"
|
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],
|
5 |
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"attention_dropout": 0.0,
|
6 |
+
"bos_token_id": 151643,
|
7 |
+
"eos_token_id": 151645,
|
8 |
+
"hidden_act": "silu",
|
9 |
+
"hidden_size": 2048,
|
10 |
+
"image_token_id": 151655,
|
11 |
+
"initializer_range": 0.02,
|
12 |
+
"intermediate_size": 11008,
|
13 |
+
"max_position_embeddings": 128000,
|
14 |
+
"max_window_layers": 70,
|
15 |
+
"model_type": "qwen2_5_vl",
|
16 |
+
"num_attention_heads": 16,
|
17 |
+
"num_hidden_layers": 36,
|
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"num_key_value_heads": 2,
|
19 |
+
"rms_norm_eps": 1e-06,
|
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"rope_scaling": {
|
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"mrope_section": [
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16,
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24,
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24
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],
|
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"rope_type": "default",
|
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"type": "default"
|
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},
|
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"rope_theta": 1000000.0,
|
30 |
+
"sliding_window": 32768,
|
31 |
+
"text_config": {
|
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+
"architectures": [
|
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"Qwen2_5_VLForConditionalGeneration"
|
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+
],
|
35 |
+
"attention_dropout": 0.0,
|
36 |
+
"bos_token_id": 151643,
|
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+
"eos_token_id": 151645,
|
38 |
+
"hidden_act": "silu",
|
39 |
+
"hidden_size": 2048,
|
40 |
+
"image_token_id": null,
|
41 |
+
"initializer_range": 0.02,
|
42 |
+
"intermediate_size": 11008,
|
43 |
+
"max_position_embeddings": 128000,
|
44 |
+
"max_window_layers": 70,
|
45 |
+
"model_type": "qwen2_5_vl_text",
|
46 |
+
"num_attention_heads": 16,
|
47 |
+
"num_hidden_layers": 36,
|
48 |
+
"num_key_value_heads": 2,
|
49 |
+
"rms_norm_eps": 1e-06,
|
50 |
+
"rope_scaling": {
|
51 |
+
"mrope_section": [
|
52 |
+
16,
|
53 |
+
24,
|
54 |
+
24
|
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+
],
|
56 |
+
"rope_type": "default",
|
57 |
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"type": "default"
|
58 |
+
},
|
59 |
+
"rope_theta": 1000000.0,
|
60 |
+
"sliding_window": 32768,
|
61 |
+
"tie_word_embeddings": true,
|
62 |
+
"torch_dtype": "bfloat16",
|
63 |
+
"use_cache": true,
|
64 |
+
"use_sliding_window": false,
|
65 |
+
"video_token_id": null,
|
66 |
+
"vision_end_token_id": 151653,
|
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"vision_start_token_id": 151652,
|
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"vision_token_id": 151654,
|
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"vocab_size": 151936
|
70 |
+
},
|
71 |
+
"torch_dtype": "bfloat16",
|
72 |
+
"transformers_version": "4.52.3",
|
73 |
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"use_cache": false,
|
74 |
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"use_sliding_window": false,
|
75 |
+
"video_token_id": 151656,
|
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"vision_config": {
|
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"depth": 32,
|
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"fullatt_block_indexes": [
|
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7,
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|
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31
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],
|
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"hidden_act": "silu",
|
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"hidden_size": 1280,
|
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"in_channels": 3,
|
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"in_chans": 3,
|
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"initializer_range": 0.02,
|
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"intermediate_size": 3420,
|
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"model_type": "qwen2_5_vl",
|
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"num_heads": 16,
|
92 |
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"out_hidden_size": 2048,
|
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"patch_size": 14,
|
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"spatial_merge_size": 2,
|
95 |
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"spatial_patch_size": 14,
|
96 |
+
"temporal_patch_size": 2,
|
97 |
+
"tokens_per_second": 2,
|
98 |
+
"torch_dtype": "bfloat16",
|
99 |
+
"window_size": 112
|
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},
|
101 |
+
"vision_end_token_id": 151653,
|
102 |
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"vision_start_token_id": 151652,
|
103 |
+
"vision_token_id": 151654,
|
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"vocab_size": 151936
|
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}
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generation_config.json
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{
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"bos_token_id": 151643,
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"do_sample": true,
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"eos_token_id": [
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151645,
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151643
|
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],
|
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"pad_token_id": 151643,
|
9 |
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"repetition_penalty": 1.05,
|
10 |
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"temperature": 1e-06,
|
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"transformers_version": "4.52.3"
|
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}
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merges.txt
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The diff for this file is too large to render.
See raw diff
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model-00001-of-00002.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:c0bd1bf2cdf09d2aba3c8913a60dffeae4c7e482ec4a7109b5283c72b75ba007
|
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size 4997756664
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model-00002-of-00002.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:464b852d99ffe18b4ab4fbf725c2b3d95ae58db3d6390d3a191ca55799407cbf
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size 2511590128
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model.safetensors.index.json
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special_tokens_map.json
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@@ -0,0 +1,31 @@
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{
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tokenizer.json
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1 |
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version https://git-lfs.github.com/spec/v1
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size 11421896
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tokenizer_config.json
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train_results.json
ADDED
@@ -0,0 +1,8 @@
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{
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trainer_state.json
ADDED
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1 |
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