Update README.md

README.md

@@ -1,9 +1,39 @@
 ---
 library_name: peft
+license: mit
+language:
+- ar
 ---
-## Training procedure
+BLOOM-7B Arabic [LAPT + CLP+]
+===
+
+## How to use
+```python
+from peft import AutoPeftModelForCausalLM
+from transformers import AutoTokenizer
+
+model = AutoPeftModelForCausalLM.from_pretrained(
+  "atsuki-yamaguchi/bloom-7b1-clpp-ar"
+)
+```
+
+## Citation
+```
+@article{yamaguchi2024empirical,
+  title={An Empirical Study on Cross-lingual Vocabulary Adaptation for Efficient Generative {LLM} Inference}, 
+  author={Atsuki Yamaguchi and Aline Villavicencio and Nikolaos Aletras},
+  journal={ArXiv},
+  year={2024},
+  volume={abs/2402.10712},
+  url={https://arxiv.org/abs/2402.10712}
+}
+```
 
+## Link
+For more details, please visit https://github.com/gucci-j/llm-cva
 
+
+## Training procedure
 The following `bitsandbytes` quantization config was used during training:
 - quant_method: bitsandbytes
 - load_in_8bit: True
@@ -15,7 +45,6 @@ The following `bitsandbytes` quantization config was used during training:
 - bnb_4bit_quant_type: fp4
 - bnb_4bit_use_double_quant: False
 - bnb_4bit_compute_dtype: float32
+  
 ### Framework versions
-
-
-- PEFT 0.5.0
+- PEFT 0.5.0