Improve language tag

README.md

@@ -1,82 +1,57 @@
----
-license: mit
-language:
-- am
-- ar
-- bn
-- zh
-- cs
-- nl
-- en
-- fr
-- de
-- el
-- ha
-- he
-- hi
-- id
-- it
-- ja
-- jv
-- km
-- ko
-- lo
-- ms
-- mr
-- fa
-- pl
-- pt
-- ro
-- ru
-- es
-- sw
-- sv
-- tl
-- ta
-- te
-- th
-- tr
-- uk
-- ur
-- vi
-datasets:
-- simplescaling/s1K
-- lightblue/reasoning-multilingual-R1-Llama-70B-train
-base_model:
-- Qwen/Qwen2.5-1.5B-Instruct
-library_name: transformers
----
-It's a 1.5B model.
-
-It's a distill model like s1 and deepseek-r1-distill.
-
-It's test model. I hope I can reproduce a rl model like RL-Zero.
-
-This model is a mini-step.
-
-Thanks for evveryone in the open community.
-
-how to use:
-```
-from vllm import LLM, SamplingParams
-from transformers import AutoTokenizer
-
-model = LLM(
-    "Amu/t1-1.5B"
-)
-tok = AutoTokenizer.from_pretrained("simplescaling/s1-32B")
-
-stop_token_ids = tok("<|im_end|>")["input_ids"]
-
-sampling_params = SamplingParams(
-    max_tokens=32768,
-    min_tokens=0,
-    stop_token_ids=stop_token_ids,
-)
-
-prompt = "How many r in raspberry"
-prompt = "<|im_start|>system\nYou are t1, created by Amu. You are a helpful assistant.<|im_end|>\n<|im_start|>user\n" + prompt + "<|im_end|>\n<|im_start|>assistant\n"
-
-o = model.generate(prompt, sampling_params=sampling_params)
-print(o[0].outputs[0].text)
+---
+license: mit
+language:
+- zho
+- eng
+- fra
+- spa
+- por
+- deu
+- ita
+- rus
+- jpn
+- kor
+- vie
+- tha
+- ara
+datasets:
+- simplescaling/s1K
+- lightblue/reasoning-multilingual-R1-Llama-70B-train
+base_model:
+- Qwen/Qwen2.5-1.5B-Instruct
+library_name: transformers
+---
+It's a 1.5B model.
+
+It's a distill model like s1 and deepseek-r1-distill.
+
+It's test model. I hope I can reproduce a rl model like RL-Zero.
+
+This model is a mini-step.
+
+Thanks for evveryone in the open community.
+
+how to use:
+```
+from vllm import LLM, SamplingParams
+from transformers import AutoTokenizer
+
+model = LLM(
+    "Amu/t1-1.5B"
+)
+tok = AutoTokenizer.from_pretrained("simplescaling/s1-32B")
+
+stop_token_ids = tok("<|im_end|>")["input_ids"]
+
+sampling_params = SamplingParams(
+    max_tokens=32768,
+    min_tokens=0,
+    stop_token_ids=stop_token_ids,
+)
+
+prompt = "How many r in raspberry"
+prompt = "<|im_start|>system\nYou are t1, created by Amu. You are a helpful assistant.<|im_end|>\n<|im_start|>user\n" + prompt + "<|im_end|>\n<|im_start|>assistant\n"
+
+o = model.generate(prompt, sampling_params=sampling_params)
+print(o[0].outputs[0].text)
 ```