Update README.md

README.md

@@ -1,6 +1,11 @@
 ---
 library_name: peft
 base_model: meta-llama/Llama-2-7b-hf
+license: apache-2.0
+language:
+- zh
+- en
+pipeline_tag: text-generation
 ---
 
 # Model Card for Model ID
@@ -17,18 +22,18 @@ base_model: meta-llama/Llama-2-7b-hf
 
 
 
-- **Developed by:** [More Information Needed]
+- **Developed by:** [Chun-Hsien Lin (a.k.a. J.S. Lin)](https://huggingface.co/jslin09)
 - **Shared by [optional]:** [More Information Needed]
-- **Model type:** [More Information Needed]
-- **Language(s) (NLP):** [More Information Needed]
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** [More Information Needed]
+- **Model type:** [Causal Language Modeling](https://huggingface.co/docs/transformers/tasks/language_modeling)
+- **Language(s) (NLP):** Traditional Chinese, English
+- **License:** [Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0)
+- **Finetuned from model [optional]:** [Meta LlaMA 2](https://huggingface.co/meta-llama/Llama-2-7b-hf)
 
 ### Model Sources [optional]
 
 <!-- Provide the basic links for the model. -->
 
-- **Repository:** [More Information Needed]
+- **Repository:** [Meta LlaMA 2](https://huggingface.co/meta-llama/Llama-2-7b-hf)
 - **Paper [optional]:** [More Information Needed]
 - **Demo [optional]:** [More Information Needed]
 
@@ -77,6 +82,7 @@ Use the code below to get started with the model.
 ### Training Data
 
 <!-- This should link to a Data Card, perhaps with a short stub of information on what the training data is all about as well as documentation related to data pre-processing or additional filtering. -->
+[台灣法律諮詢常見問答資料集](https://huggingface.co/datasets/jslin09/Themis_data_TW)
 
 [More Information Needed]
 
@@ -216,4 +222,4 @@ The following `bitsandbytes` quantization config was used during training:
 ### Framework versions
 
 
-- PEFT 0.6.0.dev0
+- PEFT 0.6.0.dev0