Update README.md

README.md

@@ -21,37 +21,31 @@ datasets:
 tags:
   - llama3.2
 ---
-![chibi-img](./chibi.jpg)
-## Preface
 
+<img src="./chibi.jpg" alt="chibi img" width="500"/>
+
+## Preface
 The importance of a small parameter large language model (LLM) lies in its ability to balance performance and efficiency. As LLMs grow increasingly sophisticated, the trade-off between model size and computational resource demands becomes critical. A smaller parameter model offers significant advantages, such as reduced memory usage, faster inference times, and lower energy consumption, all while retaining a high level of accuracy and contextual understanding. These models are particularly valuable in real-world applications where resources like processing power and storage are limited, such as on mobile devices, edge computing, or low-latency environments.
 
 ## Llama 3.2 Chibi 3B
-
 This experimental model is the result from continual pre-training of [Meta's Llama 3.2 3B](https://huggingface.co/meta-llama/Llama-3.2-3B) on a small mixture of japanese datasets.
 
 ## Architecture
-
 [Llama 3.2 3B](https://huggingface.co/meta-llama/Llama-3.2-3B)
 
 ## Training
-
-The model has been trained with a following mixture of datasets:
+The model has been trained with the following mixture of datasets:
   - [ryota39/izumi-lab-dpo-45k](https://huggingface.co/datasets/ryota39/izumi-lab-dpo-45k)
   - [Aratako/Magpie-Tanuki-8B-97k](https://huggingface.co/datasets/Aratako/Magpie-Tanuki-8B-97k)
   - [kunishou/databricks-dolly-15k-ja](https://huggingface.co/datasets/kunishou/databricks-dolly-15k-ja)
   - [kunishou/oasst1-89k-ja](https://huggingface.co/datasets/kunishou/oasst1-89k-ja)
 
 ## Contributors
-
 - [Hammaam](https://huggingface.co/AELLM)
 
 ## How to use
-
 Starting with transformers >= 4.43.0 onward, you can run conversational inference using the Transformers pipeline abstraction or by leveraging the Auto classes with the generate() function.
-
 Make sure to update your transformers installation via pip install --upgrade transformers.
-
 ```python
 import torch
 from transformers import pipeline
@@ -69,11 +63,9 @@ pipe("人生の鍵は")
 ```
 
 # License
-
 Refer to [Llama 3.2 Community License](https://github.com/meta-llama/llama-models/blob/main/models/llama3_2/LICENSE)
 
 # References
-
 ```bibtex
 @inproceedings{zheng2024llamafactory,
   title={LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models},