Update README.md

README.md

@@ -10,18 +10,15 @@ language:
 ---
 # webbigdata/ALMA-7B-Ja
 
-Original ALMA Model [ALMA-7B](https://huggingface.co/haoranxu/ALMA-7B). (26.95GB)  
-
-ALMA-7B-Ja is a machine translation model that uses ALMA's learning method to translate Japanese to English.(13.3GB)  
-The original ALMA-7B supports English and Russian(ru) translation. This model supports Japanese(ja) and English translations instead of Russian.
+ALMA-7B-Ja(13.3GB) is a machine translation model that uses ALMA's learning method to translate Japanese to English.  
+The [original ALMA-7B (26.95GB)](https://huggingface.co/haoranxu/ALMA-7B) supports English and Russian(ru) translation. This model supports Japanese(ja) and English translations instead of Russian.
 
 Like the original model, This model has been verified that it also has a translation ability between the following languages, but if you want the translation function for these languages, it is better to use the original [ALMA-13B model](https://huggingface.co/haoranxu/ALMA-13B).  
 
-German(de) and English(en)  
-Chinese(zh) and English(en)  
-Icelandic(is) and English(en)  
-Czech(cs) and English(en)  
-
+- German(de) and English(en)  
+- Chinese(zh) and English(en)  
+- Icelandic(is) and English(en)  
+- Czech(cs) and English(en)  
 
 Translating from English (en→xx) BLEU/COMET  
 Models           | de     | cs     | is     | zh     | ru/jp  | Avg.   |
@@ -39,17 +36,31 @@ GPT-3.5-D        | 30.90/84.79 | 44.50/86.16 | 31.90/82.13 | 25.00/81.62 | 38.50
 ALMA-7B(Original)| 30.26/84.00 | 43.91/85.86 | 35.97/86.03 | 23.75/79.85 | 39.37/84.58 | 34.55/84.02 |
 ALMA-7B-Ja(Ours) | 26.41/83.13 | 34.39/83.50 | 24.77/81.12 | 20.60/78.54 | 15.57/78.61 | 24.35/81.76 |
 
+[Sample Code For Free Colab](https://github.com/webbigdata-jp/python_sample/blob/main/ALMA_7B_Ja_Free_Colab_sample.ipynb)  
 
 
-[Sample Code For Free Colab](https://github.com/webbigdata-jp/python_sample/blob/main/ALMA_7B_Ja_Free_Colab_sample.ipynb)  
+
+## Other Version
+
+
+
+
+### webbigdata-ALMA-7B-Ja-gguf
+
+mmnga made llama.cpp(gguf) version [webbigdata-ALMA-7B-Ja-gguf](https://huggingface.co/mmnga/webbigdata-ALMA-7B-Ja-gguf). Thank you!  
+llama.cpp is a tool used primarily on Macs, and gguf is its latest version format. It can be used without gpu.  
+
+
+### ALMA-7B-Ja-GPTQ-Ja-En
+GPTQ is quantized(reduce the size of the model) method and ALMA-7B-Ja-GPTQ has GPTQ quantized version that reduces model size(3.9GB) and memory usage.  
+But the performance is probably lower.  And translation ability for languages other than Japanese and English has deteriorated significantly.  
+
+[Sample Code For Free Colab webbigdata/ALMA-7B-Ja-GPTQ-Ja-En](https://huggingface.co/webbigdata/ALMA-7B-Ja-GPTQ-Ja-En)  
 
 If you want to translate the entire file at once, try Colab below.  
 [ALMA_7B_Ja_GPTQ_Ja_En_batch_translation_sample](https://github.com/webbigdata-jp/python_sample/blob/main/ALMA_7B_Ja_GPTQ_Ja_En_batch_translation_sample.ipynb)
 
 
-There is also a GPTQ quantized version model that reduces model size(3.9GB) and memory usage, although the performance is probably lower.  
-And translation ability for languages other than Japanese and English has deteriorated significantly.   
-[webbigdata/ALMA-7B-Ja-GPTQ-Ja-En](https://huggingface.co/webbigdata/ALMA-7B-Ja-GPTQ-Ja-En)  
 
 
 **ALMA** (**A**dvanced **L**anguage **M**odel-based tr**A**nslator) is an LLM-based translation model, which adopts a new translation model paradigm: it begins with fine-tuning on monolingual data and is further optimized using high-quality parallel data. This two-step fine-tuning process ensures strong translation performance.