Create README.md
Browse files
README.md
ADDED
@@ -0,0 +1,29 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
license: openrail
|
3 |
+
datasets:
|
4 |
+
- JosephusCheung/GuanacoDataset
|
5 |
+
language:
|
6 |
+
- en
|
7 |
+
- zh
|
8 |
+
- ja
|
9 |
+
---
|
10 |
+
|
11 |
+
# Guanaco: A Multilingual Instruction-Following Language Model Based on LLaMA 7B
|
12 |
+
|
13 |
+
This model is trained with modified [alpaca-lora](https://github.com/tloen/alpaca-lora) with lora + embed_tokens + lm_head be trained.
|
14 |
+
|
15 |
+
The dataset is from alpaca-lora (the cleaned version of alpaca) and [guanaco](https://huggingface.co/datasets/JosephusCheung/GuanacoDataset).
|
16 |
+
With trained embed and head, the model perform better at Chinese and Japanese then original LLaMA, and with instruction based prompt. You can use this model more easily.
|
17 |
+
|
18 |
+
Since this model is trained by guanaco dataset, you can also use this as chatbot. just use this format:
|
19 |
+
```
|
20 |
+
### Instruction:
|
21 |
+
User: xxx
|
22 |
+
Assistant: yyy
|
23 |
+
|
24 |
+
### Response:
|
25 |
+
System: <System response for next message, optional>
|
26 |
+
User: <Next message>
|
27 |
+
```
|
28 |
+
|
29 |
+
**Tips: I just removed the first line of original prompt to reduce token comsumption, plz consider remove it when you want to use this model**
|