PrunaAI/llava-v1.6-vicuna-7b-bnb-8bit

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Frequently Asked Questions

• How does the compression work? The model is compressed by using bitsandbytes.
• How does the model quality change? The quality of the model output will slightly degrade.
• What is the model format? We the standard safetensors format.
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Usage

from transformers import LlavaNextProcessor, LlavaNextForConditionalGeneration
import torch
from PIL import Image
import requests

processor = LlavaNextProcessor.from_pretrained("PrunaAI/llava-v1.6-vicuna-7b-bnb-8bit")

model = LlavaNextForConditionalGeneration.from_pretrained("PrunaAI/llava-v1.6-vicuna-7b-bnb-8bit") 

# prepare image and text prompt, using the appropriate prompt template
url = "https://github.com/haotian-liu/LLaVA/blob/1a91fc274d7c35a9b50b3cb29c4247ae5837ce39/images/llava_v1_5_radar.jpg?raw=true"
image = Image.open(requests.get(url, stream=True).raw)
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:"


inputs = processor(prompt, image, return_tensors="pt").to("cuda:0")

# autoregressively complete prompt
output = model.generate(**inputs, max_new_tokens=100)

print(processor.decode(output[0], skip_special_tokens=True))

Credits & License

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 on Pypi.

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