Improve language tag

README.md

@@ -1,50 +1,62 @@
----
-library_name: transformers
-tags:
-- LoRA
-license: apache-2.0
-datasets:
-- TIGER-Lab/MathInstruct
-language:
-- en
-base_model:
-- Qwen/Qwen2.5-7B-Instruct
-pipeline_tag: text-generation
----
-
-![Komodo-Logo](Komodo-Logo.jpg)
-
-Komodo is a Qwen 2.5-7B-Instruct-FineTuned model on TIGER-Lab/MathInstruct dataset to increase math performance of the base model.
-
-This model is 4bit-quantized. You should import it 8bit if you want to use 7B parameters!
-
-Suggested Usage:
-```py
-tokenizer = AutoTokenizer.from_pretrained("suayptalha/Komodo-7B-Instruct")
-model = AutoModelForCausalLM.from_pretrained("suayptalha/Komodo-7B-Instruct")
-
-example_prompt = """Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.
-
-### Instruction:
-{}
-
-### Input:
-{}
-
-### Response:
-{}"""
-
-inputs = tokenizer(
-[
-    example_prompt.format(
-        "", #Your question here
-        "", #Given input here
-        "", #Output (for training)
-    )
-], return_tensors = "pt").to("cuda")
-
-outputs = model.generate(**inputs, max_new_tokens = 512, use_cache = True)
-tokenizer.batch_decode(outputs)
-```
-
+---
+library_name: transformers
+tags:
+- LoRA
+license: apache-2.0
+datasets:
+- TIGER-Lab/MathInstruct
+language:
+- zho
+- eng
+- fra
+- spa
+- por
+- deu
+- ita
+- rus
+- jpn
+- kor
+- vie
+- tha
+- ara
+base_model:
+- Qwen/Qwen2.5-7B-Instruct
+pipeline_tag: text-generation
+---
+
+![Komodo-Logo](Komodo-Logo.jpg)
+
+Komodo is a Qwen 2.5-7B-Instruct-FineTuned model on TIGER-Lab/MathInstruct dataset to increase math performance of the base model.
+
+This model is 4bit-quantized. You should import it 8bit if you want to use 7B parameters!
+
+Suggested Usage:
+```py
+tokenizer = AutoTokenizer.from_pretrained("suayptalha/Komodo-7B-Instruct")
+model = AutoModelForCausalLM.from_pretrained("suayptalha/Komodo-7B-Instruct")
+
+example_prompt = """Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.
+
+### Instruction:
+{}
+
+### Input:
+{}
+
+### Response:
+{}"""
+
+inputs = tokenizer(
+[
+    example_prompt.format(
+        "", #Your question here
+        "", #Given input here
+        "", #Output (for training)
+    )
+], return_tensors = "pt").to("cuda")
+
+outputs = model.generate(**inputs, max_new_tokens = 512, use_cache = True)
+tokenizer.batch_decode(outputs)
+```
+
 <a href="https://www.buymeacoffee.com/suayptalha" target="_blank"><img src="https://cdn.buymeacoffee.com/buttons/v2/default-yellow.png" alt="Buy Me A Coffee" style="height: 60px !important;width: 217px !important;" ></a>