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--- |
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library_name: pruna-engine |
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thumbnail: "https://assets-global.website-files.com/646b351987a8d8ce158d1940/64ec9e96b4334c0e1ac41504_Logo%20with%20white%20text.svg" |
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metrics: |
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- memory_disk |
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- memory_inference |
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- inference_latency |
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- inference_throughput |
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- inference_CO2_emissions |
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- inference_energy_consumption |
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--- |
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<!-- header start --> |
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<!-- 200823 --> |
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<div style="width: auto; margin-left: auto; margin-right: auto"> |
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<a href="https://www.pruna.ai/" target="_blank" rel="noopener noreferrer"> |
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<img src="https://i.imgur.com/eDAlcgk.png" alt="PrunaAI" style="width: 100%; min-width: 400px; display: block; margin: auto;"> |
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</a> |
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</div> |
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<!-- header end --> |
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[](https://twitter.com/PrunaAI) |
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[](https://github.com/PrunaAI) |
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[](https://www.linkedin.com/company/93832878/admin/feed/posts/?feedType=following) |
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[](https://discord.com/invite/vb6SmA3hxu) |
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# Simply make AI models cheaper, smaller, faster, and greener! |
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- Give a thumbs up if you like this model! |
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- Contact us and tell us which model to compress next [here](https://www.pruna.ai/contact). |
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- Request access to easily compress your *own* AI models [here](https://z0halsaff74.typeform.com/pruna-access?typeform-source=www.pruna.ai). |
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- Read the documentations to know more [here](https://pruna-ai-pruna.readthedocs-hosted.com/en/latest/) |
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- Join Pruna AI community on Discord [here](https://discord.gg/rskEr4BZJx) to share feedback/suggestions or get help. |
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**Frequently Asked Questions** |
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- ***How does the compression work?*** The model is compressed by using bitsandbytes. |
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- ***How does the model quality change?*** The quality of the model output will slightly degrade. |
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- ***What is the model format?*** We the standard safetensors format. |
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- ***How to compress my own models?*** You can request premium access to more compression methods and tech support for your specific use-cases [here](https://z0halsaff74.typeform.com/pruna-access?typeform-source=www.pruna.ai). |
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# Usage |
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```python |
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from transformers import LlavaNextProcessor, LlavaNextForConditionalGeneration |
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import torch |
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from PIL import Image |
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import requests |
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processor = LlavaNextProcessor.from_pretrained("PrunaAI/llava-v1.6-vicuna-7b-bnb-4bit") |
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model = LlavaNextForConditionalGeneration.from_pretrained("PrunaAI/llava-v1.6-vicuna-7b-bnb-4bit") |
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# prepare image and text prompt, using the appropriate prompt template |
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url = "https://github.com/haotian-liu/LLaVA/blob/1a91fc274d7c35a9b50b3cb29c4247ae5837ce39/images/llava_v1_5_radar.jpg?raw=true" |
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image = Image.open(requests.get(url, stream=True).raw) |
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prompt = "A chat between a curious human and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the human's questions. USER: <image>\nWhat is shown in this image? ASSISTANT:" |
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inputs = processor(prompt, image, return_tensors="pt").to("cuda:0") |
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# autoregressively complete prompt |
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output = model.generate(**inputs, max_new_tokens=100) |
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print(processor.decode(output[0], skip_special_tokens=True)) |
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``` |
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## Credits & License |
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The license of the smashed model follows the license of the original model. Please check the license of the original model liuhaotian/llava-v1.6-vicuna-7b before using this model which provided the base model. The license of the `pruna-engine` is [here](https://pypi.org/project/pruna-engine/) on Pypi. |
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## Want to compress other models? |
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- Contact us and tell us which model to compress next [here](https://www.pruna.ai/contact). |
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- Request access to easily compress your own AI models [here](https://z0halsaff74.typeform.com/pruna-access?typeform-source=www.pruna.ai). |
