Introduction of llava-vicuna-7b-v1.1-lcs_558k-instruct_80k_1e-lora-preview_alpha
Model Details of llava-vicuna-7b-v1.1-lcs_558k-instruct_80k_1e-lora-preview_alpha
LLaVA Model Card
Model details
Model type:
LLaVA is an open-source chatbot trained by fine-tuning LLaMA/Vicuna on GPT-generated multimodal instruction-following data.
It is an auto-regressive language model, based on the transformer architecture.
Model date:
LLaVA-LoRA-Preview was trained in June 2023.
Primary intended uses:
The primary use of LLaVA is research on large multimodal models and chatbots.
Primary intended users:
The primary intended users of the model are researchers and hobbyists in computer vision, natural language processing, machine learning, and artificial intelligence.
Training dataset
558K filtered image-text pairs from LAION/CC/SBU, captioned by BLIP.
A preliminary evaluation of the model quality is conducted by creating a set of 90 visual reasoning questions from 30 unique images randomly sampled from COCO val 2014 and each is associated with three types of questions: conversational, detailed description, and complex reasoning. We utilize GPT-4 to judge the model outputs.
We also evaluate our model on the ScienceQA dataset. Our synergy with GPT-4 sets a new state-of-the-art on the dataset.
See
https://llava-vl.github.io/
for more details.
Runs of liuhaotian llava-vicuna-7b-v1.1-lcs_558k-instruct_80k_1e-lora-preview_alpha on huggingface.co
12
Total runs
-3
24-hour runs
-5
3-day runs
-6
7-day runs
-3
30-day runs
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