lmzheng commited on
Commit
a7b9ff7
1 Parent(s): 561422e

Upload README.md

Browse files
Files changed (1) hide show
  1. README.md +47 -0
README.md ADDED
@@ -0,0 +1,47 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
2
+ license: apache-2.0
3
+ inference: false
4
+ ---
5
+
6
+ **NOTE: This "delta model" cannot be used directly.**
7
+ Users have to apply it on top of the original LLaMA weights to get actual Vicuna weights.
8
+ See https://github.com/lm-sys/FastChat#vicuna-weights for instructions.
9
+
10
+ <br>
11
+ <br>
12
+
13
+ # Vicuna Model Card
14
+
15
+ ## Model details
16
+
17
+ **Model type:**
18
+ Vicuna is an open-source chatbot trained by fine-tuning LLaMA on user-shared conversations collected from ShareGPT.
19
+ It is an auto-regressive language model, based on the transformer architecture.
20
+
21
+ **Model date:**
22
+ Vicuna was trained between March 2023 and April 2023.
23
+
24
+ **Organizations developing the model:**
25
+ The Vicuna team with members from UC Berkeley, CMU, Stanford, and UC San Diego.
26
+
27
+ **Paper or resources for more information:**
28
+ https://vicuna.lmsys.org/
29
+
30
+ **License:**
31
+ Apache License 2.0
32
+
33
+ **Where to send questions or comments about the model:**
34
+ https://github.com/lm-sys/FastChat/issues
35
+
36
+ ## Intended use
37
+ **Primary intended uses:**
38
+ The primary use of Vicuna is research on large language models and chatbots.
39
+
40
+ **Primary intended users:**
41
+ The primary intended users of the model are researchers and hobbyists in natural language processing, machine learning, and artificial intelligence.
42
+
43
+ ## Training dataset
44
+ 70K conversations collected from ShareGPT.com.
45
+
46
+ ## Evaluation dataset
47
+ A preliminary evaluation of the model quality is conducted by creating a set of 80 diverse questions and utilizing GPT-4 to judge the model outputs. See https://vicuna.lmsys.org/ for more details.