Text Generation
Transformers
Safetensors
Indonesian
English
qwen2
conversational
convAI
text-generation-inference
Inference Endpoints
gmonsoon commited on
Commit
d2fde8c
1 Parent(s): c096974

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +24 -16
README.md CHANGED
@@ -1,12 +1,12 @@
1
  ---
2
  library_name: transformers
3
  widget:
4
- - text: Halo apa kabar?
5
  example_title: Identity
6
- - text: Apa yang dapat kamu lakukan?
7
  example_title: Capabilities
8
- - text: buatlah coding untuk Hello World.
9
- example_title: Coding
10
  pipeline_tag: text-generation
11
  tags:
12
  - convAI
@@ -17,24 +17,24 @@ language:
17
  - en
18
  ---
19
 
20
- # Model Card for Model ID
21
 
22
- <!-- Provide a quick summary of what the model is/does. -->
23
 
24
 
25
 
26
  ### Model Description
27
 
28
- Nusantara is a series of Open Weight Language Model of Indonesia Language (Bahasa Indonesia). Nusantara is based from Qwen1.5 Language Model, finetuned by domain specific of datasets.
29
  As Chat-implemented language model, Nusantara is capable to do Question-Answering and respond to instructions given in Bahasa Indonesia.
 
30
 
31
- - **Developed by:** Kalis AI /
32
- - **Funded by [optional]:** [More Information Needed]
33
- - **Shared by [optional]:** [More Information Needed]
34
- - **Model type:** [More Information Needed]
35
- - **Language(s) (NLP):** [More Information Needed]
36
- - **License:** [More Information Needed]
37
- - **Finetuned from model:** Qwen1.5-4B
38
 
39
 
40
  ## Quickstart
@@ -46,7 +46,7 @@ from transformers import AutoModelForCausalLM, AutoTokenizer
46
  device = "cuda" # the device to load the model onto
47
 
48
  model = AutoModelForCausalLM.from_pretrained(
49
- "Qwen/Qwen1.5-72B-Chat",
50
  torch_dtype="auto",
51
  device_map="auto"
52
  )
@@ -211,13 +211,21 @@ Carbon emissions can be estimated using the [Machine Learning Impact calculator]
211
  If you use the Nusantara language model in your research or project, please cite it as:
212
  ```
213
  @article{Nusantara,
214
- title={Nusantara: A Series of Language Model in Bahasa Indonesia},
215
  author={Zulfikar Aji Kusworo},
216
  publisher={Hugging Face}
217
  journal={Hugging Face Repository},
218
  year={2024}
219
  }
220
  ```
 
 
 
 
 
 
 
 
221
 
222
  **BibTeX:**
223
 
 
1
  ---
2
  library_name: transformers
3
  widget:
4
+ - text: Halo, apa kabar?
5
  example_title: Identity
6
+ - text: Berikan saya resep memasak nasi goreng yang lezat?
7
  example_title: Capabilities
8
+ - text: Bagaimana solusi untuk mengobati jerawat di wajah?
9
+ example_title: Solution
10
  pipeline_tag: text-generation
11
  tags:
12
  - convAI
 
17
  - en
18
  ---
19
 
 
20
 
21
+ ![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/642b04e4ecec03b44649e318/6CCm81lqJ-i7aB38MtrAY.jpeg)
22
 
23
 
24
 
25
  ### Model Description
26
 
27
+ Nusantara is a series of Open Weight Language Model of Bahasa Indonesia (Indonesia language). Nusantara is based from Qwen1.5 Language Model, finetuned by domain specific of datasets.
28
  As Chat-implemented language model, Nusantara is capable to do Question-Answering and respond to instructions given in Bahasa Indonesia.
29
+ Due to limited resources, only 0.5B, 1.8B, 4B and 7B models are available. If you're interested in funding this project for further development, specific usage, or larger parameters, please contact [Zulfikar Aji Kusworo](https://huggingface.co/gmonsoon).
30
 
31
+
32
+ - **Finetuned by:** [Kalis AI](https://huggingface.co/kalisai) / [Zulfikar Aji Kusworo](https://huggingface.co/gmonsoon)
33
+ - **Funded by:** Self-funded
34
+ - **Model type:** transformer-based decoder-only language model
35
+ - **Language(s):** Bahasa Indonesia (id), English (en)
36
+ - **License:** Nusantara is licensed under Apache-2.0, but any usage of this model should comply with [Qwen License](https://huggingface.co/Qwen/Qwen1.5-4B/blob/main/LICENSE)
37
+ - **Finetuned from model:** [Qwen1.5-4B](https://huggingface.co/Qwen/Qwen1.5-4B/tree/main)
38
 
39
 
40
  ## Quickstart
 
46
  device = "cuda" # the device to load the model onto
47
 
48
  model = AutoModelForCausalLM.from_pretrained(
49
+ "kalisai/Nusantara-4B-Indo-Chat",
50
  torch_dtype="auto",
51
  device_map="auto"
52
  )
 
211
  If you use the Nusantara language model in your research or project, please cite it as:
212
  ```
213
  @article{Nusantara,
214
+ title={Nusantara: An Open Weight Language Model of Bahasa Indonesia},
215
  author={Zulfikar Aji Kusworo},
216
  publisher={Hugging Face}
217
  journal={Hugging Face Repository},
218
  year={2024}
219
  }
220
  ```
221
+ ```
222
+ @article{qwen,
223
+ title={Qwen Technical Report},
224
+ author={Jinze Bai and Shuai Bai and Yunfei Chu and Zeyu Cui and Kai Dang and Xiaodong Deng and Yang Fan and Wenbin Ge and Yu Han and Fei Huang and Binyuan Hui and Luo Ji and Mei Li and Junyang Lin and Runji Lin and Dayiheng Liu and Gao Liu and Chengqiang Lu and Keming Lu and Jianxin Ma and Rui Men and Xingzhang Ren and Xuancheng Ren and Chuanqi Tan and Sinan Tan and Jianhong Tu and Peng Wang and Shijie Wang and Wei Wang and Shengguang Wu and Benfeng Xu and Jin Xu and An Yang and Hao Yang and Jian Yang and Shusheng Yang and Yang Yao and Bowen Yu and Hongyi Yuan and Zheng Yuan and Jianwei Zhang and Xingxuan Zhang and Yichang Zhang and Zhenru Zhang and Chang Zhou and Jingren Zhou and Xiaohuan Zhou and Tianhang Zhu},
225
+ journal={arXiv preprint arXiv:2309.16609},
226
+ year={2023}
227
+ }
228
+ ```
229
 
230
  **BibTeX:**
231