Super-squash branch 'main' using huggingface_hub

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README.md

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+---
+license: mit
+language: ja
+---
+BLOOM-7B Japanese [LAPT + Random]
+===
+
+## How to use
+```python
+from peft import AutoPeftModelForCausalLM
+from transformers import AutoTokenizer
+
+model = AutoPeftModelForCausalLM.from_pretrained(
+    "atsuki-yamaguchi/bloom-7b1-random-ja"
+)
+tokenizer = AutoTokenizer.from_pretrained(
+    "atsuki-yamaguchi/bloom-7b1-random-ja"
+)
+
+# w/ GPU
+model = AutoPeftModelForCausalLM.from_pretrained(
+    "atsuki-yamaguchi/bloom-7b1-random-ja",
+    device_map="auto", 
+    load_in_8bit=True,
+)
+```
+## 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

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+  "architectures": [
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+  "use_cache": true,
+  "vocab_size": 32000
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