lmzheng commited on
Commit
809b9b3
1 Parent(s): eeda576

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +28 -23
README.md CHANGED
@@ -9,40 +9,45 @@ If you still want to use this old version, please see the compatibility and diff
9
  **NOTE: This "delta model" cannot be used directly.**
10
  Users have to apply it on top of the original LLaMA weights to get actual Vicuna weights. See [instructions](https://github.com/lm-sys/FastChat/blob/main/docs/vicuna_weights_version.md#how-to-apply-delta-weights-for-weights-v11-and-v0).
11
 
12
- <br>
13
  <br>
14
 
15
  # Vicuna Model Card
16
 
17
- ## Model details
18
-
19
- **Model type:**
20
- Vicuna is an open-source chatbot trained by fine-tuning LLaMA on user-shared conversations collected from ShareGPT.
21
- It is an auto-regressive language model, based on the transformer architecture.
22
 
23
- **Model date:**
24
- Vicuna was trained between March 2023 and April 2023.
25
 
26
- **Organizations developing the model:**
27
- The Vicuna team with members from UC Berkeley, CMU, Stanford, and UC San Diego.
 
 
28
 
29
- **Paper or resources for more information:**
30
- https://lmsys.org/blog/2023-03-30-vicuna/
31
 
32
- **Where to send questions or comments about the model:**
33
- https://github.com/lm-sys/FastChat/issues
 
 
34
 
 
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.
48
- See https://lmsys.org/blog/2023-03-30-vicuna/ for more details.
9
  **NOTE: This "delta model" cannot be used directly.**
10
  Users have to apply it on top of the original LLaMA weights to get actual Vicuna weights. See [instructions](https://github.com/lm-sys/FastChat/blob/main/docs/vicuna_weights_version.md#how-to-apply-delta-weights-for-weights-v11-and-v0).
11
 
 
12
  <br>
13
 
14
  # Vicuna Model Card
15
 
16
+ ## Model Details
 
 
 
 
17
 
18
+ Vicuna is a chat assistant trained by fine-tuning LLaMA on user-shared conversations collected from ShareGPT.
 
19
 
20
+ - **Developed by:** [LMSYS](https://lmsys.org/)
21
+ - **Model type:** An auto-regressive language model based on the transformer architecture.
22
+ - **License:** Non-commercial license
23
+ - **Finetuned from model:** [LLaMA](https://arxiv.org/abs/2302.13971).
24
 
25
+ ### Model Sources
 
26
 
27
+ - **Repository:** https://github.com/lm-sys/FastChat
28
+ - **Blog:** https://lmsys.org/blog/2023-03-30-vicuna/
29
+ - **Paper:** https://arxiv.org/abs/2306.05685
30
+ - **Demo:** https://chat.lmsys.org/
31
 
32
+ ## Uses
33
 
 
 
34
  The primary use of Vicuna is research on large language models and chatbots.
 
 
35
  The primary intended users of the model are researchers and hobbyists in natural language processing, machine learning, and artificial intelligence.
36
 
37
+ ## How to Get Started with the Model
38
+
39
+ Command line interface: https://github.com/lm-sys/FastChat#vicuna-weights.
40
+ APIs (OpenAI API, Huggingface API): https://github.com/lm-sys/FastChat/tree/main#api.
41
+
42
+ ## Training Details
43
+
44
+ Vicuna v1.1 is fine-tuned from LLaMA with supervised instruction fine-tuning.
45
+ The training data is around 70K conversations collected from ShareGPT.com.
46
+ See more details in the "Training Details of Vicuna Models" section in the appendix of this [paper](https://arxiv.org/pdf/2306.05685.pdf).
47
+
48
+ ## Evaluation
49
+
50
+ Vicuna is evaluated with standard benchmarks, human preference, and LLM-as-a-judge. See more details in this [paper](https://arxiv.org/pdf/2306.05685.pdf) and [leaderboard](https://huggingface.co/spaces/lmsys/chatbot-arena-leaderboard).
51
 
52
+ ## Difference between different versions of Vicuna
53
+ See [vicuna_weights_version.md](https://github.com/lm-sys/FastChat/blob/main/docs/vicuna_weights_version.md)