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--- |
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language: |
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- en |
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license: llama3 |
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datasets: |
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- liuhaotian/LLaVA-CC3M-Pretrain-595K |
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pipeline_tag: image-text-to-text |
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--- |
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# llama3-vision-alpha |
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projection module trained to add vision capabilties to Llama 3 using SigLIP. built by [@yeswondwerr](https://x.com/yeswondwerr) and [@qtnx_](https://x.com/qtnx_) |
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usable directly in Transformers |
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**usage** |
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``` |
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pip install torch transformers pillow |
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``` |
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```python |
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import torch |
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from PIL import Image |
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from transformers import AutoModelForCausalLM, AutoTokenizer |
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from transformers import BitsAndBytesConfig |
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bnb_cfg = BitsAndBytesConfig( |
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load_in_4bit=True, |
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bnb_4bit_compute_dtype=torch.float16, |
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llm_int8_skip_modules=["mm_projector", "vision_model"], |
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) |
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model_id = "qresearch/llama-3-vision-alpha-hf" |
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model = AutoModelForCausalLM.from_pretrained( |
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model_id, |
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trust_remote_code=True, |
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torch_dtype=torch.float16, |
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quantization_config=bnb_cfg, |
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) |
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tokenizer = AutoTokenizer.from_pretrained( |
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model_id, |
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use_fast=True, |
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) |
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image = Image.open("image_path") |
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print( |
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tokenizer.decode( |
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model.answer_question(image, "question", tokenizer), |
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skip_special_tokens=True, |
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) |
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) |
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``` |
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**examples** |
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| Image | Examples | |
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| --- | --- | |
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| <img src="assets/demo-1.jpg" width="300"/> | **What is the title of this book? answer briefly**<br>The title of the book is "The Little Book of Deep Learning".<br><br>**Where is the person standing? answer briefly**<br>The person is standing on the balcony.<br><br>**Describe the image**<br>The image shows a person holding a book with a cityscape visible through the window behind them. The book has a cover with a title that reads "The Little Book of Deep Learning" in bold letters. | |
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| <img src="assets/demo-2.jpg" width="300"/> | **What type of food is the girl holding? answer briefly**<br>A hamburger!<br><br>**What color is the woman's hair? answer briefly**<br>It's white!<br><br>**Describe the image**<br>The image is of a young girl with short, curly hair and a sweet smile, holding a giant hamburger in her hand. She's sitting at a table with a festive dinner setting, surrounded by candles and a warm glow. Her eyes are shining with excitement and contentment as she takes a big bite of the burger. | |
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**acknowledgements** |
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- Liu et al. : [LLaVA](https://arxiv.org/abs/2304.08485) |
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- Moon et al. : [AnyMAL](https://arxiv.org/abs/2309.16058) |
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- vikhyatk : moondream, test images |
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``` |
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``` |
