liuhaotian commited on
Commit
7289267
1 Parent(s): 7e2b5e9

Create README.md

Browse files
Files changed (1) hide show
  1. README.md +45 -0
README.md ADDED
@@ -0,0 +1,45 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ inference: false
3
+ ---
4
+
5
+ <br>
6
+ <br>
7
+
8
+ # LLaVA Model Card
9
+
10
+ ## Model details
11
+
12
+ **Model type:**
13
+ LLaVA is an open-source chatbot trained by fine-tuning LLM on multimodal instruction-following data.
14
+ It is an auto-regressive language model, based on the transformer architecture.
15
+ Base LLM: [lmsys/vicuna-7b-v1.5](https://huggingface.co/lmsys/vicuna-7b-v1.5)
16
+
17
+ **Model date:**
18
+ LLaVA-v1.6-Vicuna-7B was trained in December 2023.
19
+
20
+ **Paper or resources for more information:**
21
+ https://llava-vl.github.io/
22
+
23
+ ## License
24
+ Llama 2 is licensed under the LLAMA 2 Community License,
25
+ Copyright (c) Meta Platforms, Inc. All Rights Reserved.
26
+
27
+ **Where to send questions or comments about the model:**
28
+ https://github.com/haotian-liu/LLaVA/issues
29
+
30
+ ## Intended use
31
+ **Primary intended uses:**
32
+ The primary use of LLaVA is research on large multimodal models and chatbots.
33
+
34
+ **Primary intended users:**
35
+ The primary intended users of the model are researchers and hobbyists in computer vision, natural language processing, machine learning, and artificial intelligence.
36
+
37
+ ## Training dataset
38
+ - 558K filtered image-text pairs from LAION/CC/SBU, captioned by BLIP.
39
+ - 158K GPT-generated multimodal instruction-following data.
40
+ - 500K academic-task-oriented VQA data mixture.
41
+ - 50K GPT-4V data mixture.
42
+ - 40K ShareGPT data.
43
+
44
+ ## Evaluation dataset
45
+ A collection of 12 benchmarks, including 5 academic VQA benchmarks and 7 recent benchmarks specifically proposed for instruction-following LMMs.