Update README.md
Browse files
README.md
CHANGED
@@ -71,7 +71,7 @@ We extended the vocabulary of the base llama model from 32,000 tokens to 57,000
|
|
71 |
### Direct Use
|
72 |
|
73 |
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
74 |
-
|
75 |
|
76 |
|
77 |
### Out-of-Scope Use
|
@@ -95,7 +95,7 @@ Like all LLMs, SambaLingo has certain limitations:
|
|
95 |
- Toxicity: The model could inadvertently generate responses containing inappropriate or harmful content.
|
96 |
|
97 |
## Acknowledgments
|
98 |
-
We extend our heartfelt gratitude to the open-source AI community; this endeavor would not have been
|
99 |
|
100 |
We would like to give a special thanks to the following groups:
|
101 |
- Meta for open sourcing LLama 2 and open sourcing FLORES-200 dataset
|
@@ -108,7 +108,7 @@ We would like to give a special thanks to the following groups:
|
|
108 |
## Cite SambaLingo
|
109 |
```
|
110 |
@software{sambalingo,
|
111 |
-
title = {{SambaLingo: Language Experts
|
112 |
author = {SambaNova Systems},
|
113 |
url = {https://huggingface.co/sambanovasystems/SambaLingo-Thai-Base}
|
114 |
month = {2},
|
|
|
71 |
### Direct Use
|
72 |
|
73 |
<!-- This section is for the model use without fine-tuning or plugging into a larger ecosystem/app. -->
|
74 |
+
Use of this model is governed by the Meta’s [Llama 2 Community License Agreement](https://ai.meta.com/llama/license/). Please review and accept the license before downloading the model weights.
|
75 |
|
76 |
|
77 |
### Out-of-Scope Use
|
|
|
95 |
- Toxicity: The model could inadvertently generate responses containing inappropriate or harmful content.
|
96 |
|
97 |
## Acknowledgments
|
98 |
+
We extend our heartfelt gratitude to the open-source AI community; this endeavor would not have been possible without open source. SambaNova embraces the open-source community and aspires to actively contribute to this initiative.
|
99 |
|
100 |
We would like to give a special thanks to the following groups:
|
101 |
- Meta for open sourcing LLama 2 and open sourcing FLORES-200 dataset
|
|
|
108 |
## Cite SambaLingo
|
109 |
```
|
110 |
@software{sambalingo,
|
111 |
+
title = {{SambaLingo: Open Source Language Experts}},
|
112 |
author = {SambaNova Systems},
|
113 |
url = {https://huggingface.co/sambanovasystems/SambaLingo-Thai-Base}
|
114 |
month = {2},
|