commit 15002ca93f747089c95b6e9389b9db6f25b29b64 Author: ModelHub XC Date: Mon Jul 13 06:54:05 2026 +0800 初始化项目，由ModelHub XC社区提供模型 Model: prithivMLmods/Enesidaon-VLR-7B-no-Thinking Source: Original Platform diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..d2fc868 --- /dev/null +++ b/.gitattributes @@ -0,0 +1,51 @@ +*.7z filter=lfs diff=lfs merge=lfs -text +*.arrow filter=lfs diff=lfs merge=lfs -text +*.bin filter=lfs diff=lfs merge=lfs -text +*.bin.* filter=lfs diff=lfs merge=lfs -text +*.bz2 filter=lfs diff=lfs merge=lfs -text +*.ftz filter=lfs diff=lfs merge=lfs -text +*.gz filter=lfs diff=lfs merge=lfs -text +*.h5 filter=lfs diff=lfs merge=lfs -text +*.joblib filter=lfs diff=lfs merge=lfs -text +*.lfs.* filter=lfs diff=lfs merge=lfs -text +*.model filter=lfs diff=lfs merge=lfs -text +*.msgpack filter=lfs diff=lfs merge=lfs -text +*.onnx filter=lfs diff=lfs merge=lfs -text +*.ot filter=lfs diff=lfs merge=lfs -text +*.parquet filter=lfs diff=lfs merge=lfs -text +*.pb filter=lfs diff=lfs merge=lfs -text +*.pt filter=lfs diff=lfs merge=lfs -text +*.pth filter=lfs diff=lfs merge=lfs -text +*.rar filter=lfs diff=lfs merge=lfs -text +saved_model/**/* filter=lfs diff=lfs merge=lfs -text +*.tar.* filter=lfs diff=lfs merge=lfs -text +*.tflite filter=lfs diff=lfs merge=lfs -text +*.tgz filter=lfs diff=lfs merge=lfs -text +*.xz filter=lfs diff=lfs merge=lfs -text +*.zip filter=lfs diff=lfs merge=lfs -text +*.zstandard filter=lfs diff=lfs merge=lfs -text +*.tfevents* filter=lfs diff=lfs merge=lfs -text +*.db* filter=lfs diff=lfs merge=lfs -text +*.ark* filter=lfs diff=lfs merge=lfs -text +**/*ckpt*data* filter=lfs diff=lfs merge=lfs -text +**/*ckpt*.meta filter=lfs diff=lfs merge=lfs -text +**/*ckpt*.index filter=lfs diff=lfs merge=lfs -text +*.safetensors filter=lfs diff=lfs merge=lfs -text +*.ckpt filter=lfs diff=lfs merge=lfs -text +*.gguf* filter=lfs diff=lfs merge=lfs -text +*.ggml filter=lfs diff=lfs merge=lfs -text +*.llamafile* filter=lfs diff=lfs merge=lfs -text +*.pt2 filter=lfs diff=lfs merge=lfs -text +*.mlmodel filter=lfs diff=lfs merge=lfs -text +*.npy filter=lfs diff=lfs merge=lfs -text +*.npz filter=lfs diff=lfs merge=lfs -text +*.pickle filter=lfs diff=lfs merge=lfs -text +*.pkl filter=lfs diff=lfs merge=lfs -text +*.tar filter=lfs diff=lfs merge=lfs -text +*.wasm filter=lfs diff=lfs merge=lfs -text +*.zst filter=lfs diff=lfs merge=lfs -text +*tfevents* filter=lfs diff=lfs merge=lfs -text + +merges.txt filter=lfs diff=lfs merge=lfs -text +tokenizer.json filter=lfs diff=lfs merge=lfs -text +vocab.json filter=lfs diff=lfs merge=lfs -text \ No newline at end of file diff --git a/README.md b/README.md new file mode 100644 index 0000000..b636d08 --- /dev/null +++ b/README.md @@ -0,0 +1,113 @@ +--- +license: apache-2.0 +language: +- en +- zh +base_model: +- Qwen/Qwen2.5-VL-7B-Instruct +pipeline_tag: image-text-to-text +library_name: transformers +tags: +- text-generation-inference +- trl +- ocr +- vision-language +- reasoning +- grounded-visual-reasoning +- sft +- grpo +- no-thinking +- code +- thinking=0 +--- + +![1.png](https://cdn-uploads.huggingface.co/production/uploads/65bb837dbfb878f46c77de4c/yiFI0lMGM7SdkmwS09BaZ.png) + +# **Enesidaon-VLR-7B-no-Thinking** + +> The **Enesidaon-VLR-7B-no-Thinking** model is a high-fidelity vision-language reasoning (experimental) model designed for fine-grained multimodal comprehension. Built on top of **Qwen2.5-VL-7B-Instruct**, this model improves image captioning, sampled video reasoning, and detailed document understanding. Unlike standard approaches, it explicitly grounds its textual reasoning steps to visual coordinates, enabling precise and explainable multimodal reasoning. The model is trained using supervised fine-tuning (SFT) on visually-grounded reasoning traces and further optimized via GRPO reinforcement learning, resulting in superior chain-of-thought reasoning without overthinking or unnecessary hallucinations. + +## Key Enhancements + +* **Visually-Grounded Reasoning and Explanation**: Explicitly anchors reasoning chains to image regions and document elements for transparent, explainable multimodal outputs. +* **Advanced Image Captioning**: Produces context-aware, detailed captions with grounded reasoning for improved visual understanding. +* **Sampled Video Reasoning**: Handles long-duration video inputs with temporal reasoning for content summarization and QA. +* **Context-Aware Document Analysis**: Excels in document retrieval, structured and unstructured content extraction, and analytical content recognition. +* **Fine-Grained Visual Grounding**: Enhanced capability for multimodal linking across charts, tables, and graphical elements with spatial grounding. +* **Reinforcement-Learned Reasoning**: Trained with GRPO to incentivize accurate, grounded reasoning aligned with visual cues. +* **State-of-the-Art Benchmarking**: Competitive results on OCR, visual QA, and reasoning tasks including DocVQA, MathVista, RealWorldQA, and MTVQA. + +## Quick Start with Transformers + +```python +from transformers import Qwen2_5_VLForConditionalGeneration, AutoTokenizer, AutoProcessor +from qwen_vl_utils import process_vision_info + +model = Qwen2_5_VLForConditionalGeneration.from_pretrained( + "prithivMLmods/Enesidaon-VLR-7B-no-Thinking", torch_dtype="auto", device_map="auto" +) + +processor = AutoProcessor.from_pretrained("prithivMLmods/Enesidaon-VLR-7B-no-Thinking") + +messages = [ + { + "role": "user", + "content": [ + { + "type": "image", + "image": "https://qianwen-res.oss-cn-beijing.aliyuncs.com/Qwen-VL/assets/demo.jpeg", + }, + {"type": "text", "text": "Describe this image with reasoning."}, + ], + } +] + +text = processor.apply_chat_template( + messages, tokenize=False, add_generation_prompt=True +) +image_inputs, video_inputs = process_vision_info(messages) +inputs = processor( + text=[text], + images=image_inputs, + videos=video_inputs, + padding=True, + return_tensors="pt", +) +inputs = inputs.to("cuda") + +generated_ids = model.generate(**inputs, max_new_tokens=128) +generated_ids_trimmed = [ + out_ids[len(in_ids):] for in_ids, out_ids in zip(inputs.input_ids, generated_ids) +] +output_text = processor.batch_decode( + generated_ids_trimmed, skip_special_tokens=True, clean_up_tokenization_spaces=False +) +print(output_text) +``` + +## Intended Use + +This model is intended for: + +* Grounded visual reasoning with spatially-aligned chain-of-thought explanations. +* Accurate, explainable image captioning and video reasoning. +* Multimodal document analysis with visually-referenced reasoning steps. +* Analytical content recognition, table/chart interpretation, and structured extraction. +* Multilingual reasoning over documents and visual scenes for global applications. +* Educational and enterprise solutions requiring step-by-step reasoning transparency. +* Robotic and mobile device automation with vision-guided contextual decision-making. + +## Limitations + +* May require high memory for long videos and complex document inputs. +* Performance can degrade with extremely low-resolution or heavily occluded images. +* Not fully optimized for real-time inference on low-resource edge devices. +* Visual token configurations significantly impact grounded reasoning performance. +* Some rare cases of reasoning drift or incomplete grounding. + +## References + +* **YaRN: Efficient Context Window Extension of Large Language Models** +* **Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution** +* **Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond** +* **A Comprehensive and Challenging OCR Benchmark for Evaluating Large Multimodal Models in Literacy** \ No newline at end of file diff --git a/added_tokens.json b/added_tokens.json new file mode 100644 index 0000000..482ced4 --- /dev/null +++ b/added_tokens.json @@ -0,0 +1,24 @@ +{ + "": 151658, + "": 151657, + "<|box_end|>": 151649, + "<|box_start|>": 151648, + "<|endoftext|>": 151643, + "<|file_sep|>": 151664, + "<|fim_middle|>": 151660, + "<|fim_pad|>": 151662, + "<|fim_prefix|>": 151659, + "<|fim_suffix|>": 151661, + "<|im_end|>": 151645, + "<|im_start|>": 151644, + "<|image_pad|>": 151655, + "<|object_ref_end|>": 151647, + "<|object_ref_start|>": 151646, + "<|quad_end|>": 151651, + "<|quad_start|>": 151650, + "<|repo_name|>": 151663, + "<|video_pad|>": 151656, + "<|vision_end|>": 151653, + "<|vision_pad|>": 151654, + "<|vision_start|>": 151652 +} diff --git a/chat_template.jinja b/chat_template.jinja new file mode 100644 index 0000000..6c22663 --- /dev/null +++ b/chat_template.jinja @@ -0,0 +1,7 @@ +{% 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 +You are a helpful assistant.<|im_end|> +{% endif %}<|im_start|>{{ message['role'] }} +{% if message['content'] is string %}{{ message['content'] }}<|im_end|> +{% 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|> +{% endif %}{% endfor %}{% if add_generation_prompt %}<|im_start|>assistant +{% endif %} \ No newline at end of file diff --git a/config.json b/config.json new file mode 100644 index 0000000..95d2f74 --- /dev/null +++ b/config.json @@ -0,0 +1,136 @@ +{ + "architectures": [ + "Qwen2_5_VLForConditionalGeneration" + ], + "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": 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": { + "architectures": [ + "Qwen2_5_VLForConditionalGeneration" + ], + "attention_dropout": 0.0, + "bos_token_id": 151643, + "eos_token_id": 151645, + "hidden_act": "silu", + "hidden_size": 3584, + "image_token_id": null, + "initializer_range": 0.02, + "intermediate_size": 18944, + "layer_types": [ + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention", + "full_attention" + ], + "max_position_embeddings": 128000, + "max_window_layers": 28, + "model_type": "qwen2_5_vl_text", + "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 + ], + 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