Update README.md

README.md

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 ---
 license: mit
+tags:
+  - ctranslate2
+  - quantization
+  - int8
+  - float16
+  - text-generation
+  - ALMA
+  - llama
 ---
+
+# ALMA-13B model for CTranslate2
+
+The model is quantized version of the [haoranxu/ALMA-13B](https://huggingface.co/haoranxu/ALMA-13B) with int8_float16 quantization and can be used in [CTranslate2](https://github.com/OpenNMT/CTranslate2).
+
+**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. 
+
+- Model creator: [Haoran Xu](https://huggingface.co/haoranxu)
+- Original model: [ALMA 13B](https://huggingface.co/haoranxu/ALMA-13B)
+
+
+## Conversion details
+
+The original model was converted on 2023-12 with the following command:
+
+```
+ct2-transformers-converter --model haoranxu/ALMA-13B --quantization int8_float16 --output_dir ALMA-13B-ct2_int8_float16 \
+    --copy_files generation_config.json special_tokens_map.json tokenizer.model tokenizer_config.json
+```
+
+
+## Prompt template: ALMA
+
+```
+Translate this from English to Chinese:
+English: {prompt}
+Chinese:
+```
+
+
+## Example
+
+This example code is obtained from [CTranslate2_transformers](https://opennmt.net/CTranslate2/guides/transformers.html#mpt). 
+More detailed information about the `generate_batch` methon can be found at [CTranslate2_Generator.generate_batch](https://opennmt.net/CTranslate2/python/ctranslate2.Generator.html#ctranslate2.Generator.generate_batch).
+
+```python
+import ctranslate2
+import transformers
+
+generator = ctranslate2.Generator("avans06/ALMA-13B-ct2_int8_float16")
+tokenizer = transformers.AutoTokenizer.from_pretrained("haoranxu/ALMA-13B")
+
+text = "Who is Alan Turing?"
+prompt = f"Translate this from English to Chinese:\nEnglish: {text}\nChinese:"
+tokens = tokenizer.convert_ids_to_tokens(tokenizer.encode(prompt))
+
+results = generator.generate_batch([tokens], max_length=256, sampling_temperature=0.7, sampling_topp=0.9, repetition_penalty=1.1, include_prompt_in_result=False)
+
+output = tokenizer.decode(results[0].sequences_ids[0])
+```
+
+
+## The following explanations are excerpted from the [FAQ section of the author's GitHub README](https://github.com/fe1ixxu/ALMA#what-language-directions-do-alma-support).
+- **What language directions do ALMA support?**  
+Currently, ALMA supports 10 directions: English↔German, Englishs↔Czech, Englishs↔Icelandic, Englishs↔Chinese, Englishs↔Russian. However, it may surprise us in other directions :)
+
+
+## More information
+
+For more information about the original model, see its [GitHub repository](https://github.com/fe1ixxu/ALMA)