Improve language tag

README.md

@@ -1,197 +1,203 @@
----
-language:
-- en
-license: apache-2.0
-library_name: transformers
-tags:
-- mergekit
-- merge
-- lazymergekit
-base_model:
-- Qwen/Qwen2.5-32B-Instruct
-license_name: tongyi-qianwen
-license_link: https://huggingface.co/Qwen/Qwen2-72B-Instruct/blob/main/LICENSE
-pipeline_tag: text-generation
-model-index:
-- name: BigQwen2.5-52B-Instruct
-  results:
-  - task:
-      type: text-generation
-      name: Text Generation
-    dataset:
-      name: IFEval (0-Shot)
-      type: HuggingFaceH4/ifeval
-      args:
-        num_few_shot: 0
-    metrics:
-    - type: inst_level_strict_acc and prompt_level_strict_acc
-      value: 79.29
-      name: strict accuracy
-    source:
-      url: >-
-        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=mlabonne/BigQwen2.5-52B-Instruct
-      name: Open LLM Leaderboard
-  - task:
-      type: text-generation
-      name: Text Generation
-    dataset:
-      name: BBH (3-Shot)
-      type: BBH
-      args:
-        num_few_shot: 3
-    metrics:
-    - type: acc_norm
-      value: 59.81
-      name: normalized accuracy
-    source:
-      url: >-
-        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=mlabonne/BigQwen2.5-52B-Instruct
-      name: Open LLM Leaderboard
-  - task:
-      type: text-generation
-      name: Text Generation
-    dataset:
-      name: MATH Lvl 5 (4-Shot)
-      type: hendrycks/competition_math
-      args:
-        num_few_shot: 4
-    metrics:
-    - type: exact_match
-      value: 17.82
-      name: exact match
-    source:
-      url: >-
-        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=mlabonne/BigQwen2.5-52B-Instruct
-      name: Open LLM Leaderboard
-  - task:
-      type: text-generation
-      name: Text Generation
-    dataset:
-      name: GPQA (0-shot)
-      type: Idavidrein/gpqa
-      args:
-        num_few_shot: 0
-    metrics:
-    - type: acc_norm
-      value: 6.94
-      name: acc_norm
-    source:
-      url: >-
-        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=mlabonne/BigQwen2.5-52B-Instruct
-      name: Open LLM Leaderboard
-  - task:
-      type: text-generation
-      name: Text Generation
-    dataset:
-      name: MuSR (0-shot)
-      type: TAUR-Lab/MuSR
-      args:
-        num_few_shot: 0
-    metrics:
-    - type: acc_norm
-      value: 10.45
-      name: acc_norm
-    source:
-      url: >-
-        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=mlabonne/BigQwen2.5-52B-Instruct
-      name: Open LLM Leaderboard
-  - task:
-      type: text-generation
-      name: Text Generation
-    dataset:
-      name: MMLU-PRO (5-shot)
-      type: TIGER-Lab/MMLU-Pro
-      config: main
-      split: test
-      args:
-        num_few_shot: 5
-    metrics:
-    - type: acc
-      value: 50.22
-      name: accuracy
-    source:
-      url: >-
-        https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=mlabonne/BigQwen2.5-52B-Instruct
-      name: Open LLM Leaderboard
----
-# BigQwen2.5-52B-Instruct
-
-![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/61b8e2ba285851687028d395/98GiKtmH1AtHHbIbOUH4Y.jpeg)
-
-BigQwen2.5-52B-Instruct is a [Qwen/Qwen2-32B-Instruct](https://huggingface.co/Qwen/Qwen2-72B-Instruct) self-merge made with [MergeKit](https://github.com/arcee-ai/mergekit/tree/main).
-
-It applies the [mlabonne/Meta-Llama-3-120B-Instruct](https://huggingface.co/mlabonne/Meta-Llama-3-120B-Instruct/) recipe.
-
-I made it due to popular demand but I haven't tested it so use it at your own risk. ¯\\\_(ツ)_/¯
-
-## 🔍 Applications
-
-It might be good for creative writing tasks. I recommend a context length of 32k but you can go up to 131,072 tokens in theory.
-
-## 🏆 Evaluation
-
-|      Metric       |BigQwen2.5-Echo-47B-Instruct|**BigQwen2.5-52B-Instruct**|Qwen2.5-32B-Instruct|
-|-------------------|----:|----:|----:|
-|Avg.               |30.31|37.42|36.17|
-|IFEval (0-Shot)    |73.57|79.29|83.46|
-|BBH (3-Shot)       |44.52|59.81|56.49|
-|MATH Lvl 5 (4-Shot)| 3.47|17.82|0|
-|GPQA (0-shot)      | 8.61| 6.94|11.74|
-|MuSR (0-shot)      |10.19|10.45|13.5|
-|MMLU-PRO (5-shot)  |41.49|50.22|51.85|
-
-## 🧩 Configuration
-
-The following YAML configuration was used to produce this model:
-
-```yaml
-slices:
-- sources:
-  - layer_range: [0, 16]
-    model: Qwen/Qwen2.5-32B-Instruct
-- sources:
-  - layer_range: [8, 24]
-    model: Qwen/Qwen2.5-32B-Instruct
-- sources:
-  - layer_range: [16, 32]
-    model: Qwen/Qwen2.5-32B-Instruct
-- sources:
-  - layer_range: [24, 40]
-    model: Qwen/Qwen2.5-32B-Instruct
-- sources:
-  - layer_range: [32, 48]
-    model: Qwen/Qwen2.5-32B-Instruct
-- sources:
-  - layer_range: [40, 56]
-    model: Qwen/Qwen2.5-32B-Instruct
-- sources:
-  - layer_range: [56, 64]
-    model: Qwen/Qwen2.5-32B-Instruct
-merge_method: passthrough
-dtype: bfloat16
-```
-
-## 💻 Usage
-
-```python
-!pip install -qU transformers accelerate
-
-from transformers import AutoTokenizer
-import transformers
-import torch
-
-model = "mlabonne/BigQwen2.5-52B-Instruct"
-messages = [{"role": "user", "content": "What is a large language model?"}]
-
-tokenizer = AutoTokenizer.from_pretrained(model)
-prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
-pipeline = transformers.pipeline(
-    "text-generation",
-    model=model,
-    torch_dtype=torch.float16,
-    device_map="auto",
-)
-
-outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
-print(outputs[0]["generated_text"])
+---
+language:
+- zho
+- eng
+- fra
+- spa
+- por
+- deu
+- ita
+- rus
+- jpn
+- kor
+- vie
+- tha
+- ara
+license: apache-2.0
+library_name: transformers
+tags:
+- mergekit
+- merge
+- lazymergekit
+base_model:
+- Qwen/Qwen2.5-32B-Instruct
+license_name: tongyi-qianwen
+license_link: https://huggingface.co/Qwen/Qwen2-72B-Instruct/blob/main/LICENSE
+pipeline_tag: text-generation
+model-index:
+- name: BigQwen2.5-52B-Instruct
+  results:
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: IFEval (0-Shot)
+      type: HuggingFaceH4/ifeval
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: inst_level_strict_acc and prompt_level_strict_acc
+      value: 79.29
+      name: strict accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=mlabonne/BigQwen2.5-52B-Instruct
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: BBH (3-Shot)
+      type: BBH
+      args:
+        num_few_shot: 3
+    metrics:
+    - type: acc_norm
+      value: 59.81
+      name: normalized accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=mlabonne/BigQwen2.5-52B-Instruct
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MATH Lvl 5 (4-Shot)
+      type: hendrycks/competition_math
+      args:
+        num_few_shot: 4
+    metrics:
+    - type: exact_match
+      value: 17.82
+      name: exact match
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=mlabonne/BigQwen2.5-52B-Instruct
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: GPQA (0-shot)
+      type: Idavidrein/gpqa
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 6.94
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=mlabonne/BigQwen2.5-52B-Instruct
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MuSR (0-shot)
+      type: TAUR-Lab/MuSR
+      args:
+        num_few_shot: 0
+    metrics:
+    - type: acc_norm
+      value: 10.45
+      name: acc_norm
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=mlabonne/BigQwen2.5-52B-Instruct
+      name: Open LLM Leaderboard
+  - task:
+      type: text-generation
+      name: Text Generation
+    dataset:
+      name: MMLU-PRO (5-shot)
+      type: TIGER-Lab/MMLU-Pro
+      config: main
+      split: test
+      args:
+        num_few_shot: 5
+    metrics:
+    - type: acc
+      value: 50.22
+      name: accuracy
+    source:
+      url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=mlabonne/BigQwen2.5-52B-Instruct
+      name: Open LLM Leaderboard
+---
+# BigQwen2.5-52B-Instruct
+
+![image/jpeg](https://cdn-uploads.huggingface.co/production/uploads/61b8e2ba285851687028d395/98GiKtmH1AtHHbIbOUH4Y.jpeg)
+
+BigQwen2.5-52B-Instruct is a [Qwen/Qwen2-32B-Instruct](https://huggingface.co/Qwen/Qwen2-72B-Instruct) self-merge made with [MergeKit](https://github.com/arcee-ai/mergekit/tree/main).
+
+It applies the [mlabonne/Meta-Llama-3-120B-Instruct](https://huggingface.co/mlabonne/Meta-Llama-3-120B-Instruct/) recipe.
+
+I made it due to popular demand but I haven't tested it so use it at your own risk. ¯\\\_(ツ)_/¯
+
+## 🔍 Applications
+
+It might be good for creative writing tasks. I recommend a context length of 32k but you can go up to 131,072 tokens in theory.
+
+## 🏆 Evaluation
+
+|      Metric       |BigQwen2.5-Echo-47B-Instruct|**BigQwen2.5-52B-Instruct**|Qwen2.5-32B-Instruct|
+|-------------------|----:|----:|----:|
+|Avg.               |30.31|37.42|36.17|
+|IFEval (0-Shot)    |73.57|79.29|83.46|
+|BBH (3-Shot)       |44.52|59.81|56.49|
+|MATH Lvl 5 (4-Shot)| 3.47|17.82|0|
+|GPQA (0-shot)      | 8.61| 6.94|11.74|
+|MuSR (0-shot)      |10.19|10.45|13.5|
+|MMLU-PRO (5-shot)  |41.49|50.22|51.85|
+
+## 🧩 Configuration
+
+The following YAML configuration was used to produce this model:
+
+```yaml
+slices:
+- sources:
+  - layer_range: [0, 16]
+    model: Qwen/Qwen2.5-32B-Instruct
+- sources:
+  - layer_range: [8, 24]
+    model: Qwen/Qwen2.5-32B-Instruct
+- sources:
+  - layer_range: [16, 32]
+    model: Qwen/Qwen2.5-32B-Instruct
+- sources:
+  - layer_range: [24, 40]
+    model: Qwen/Qwen2.5-32B-Instruct
+- sources:
+  - layer_range: [32, 48]
+    model: Qwen/Qwen2.5-32B-Instruct
+- sources:
+  - layer_range: [40, 56]
+    model: Qwen/Qwen2.5-32B-Instruct
+- sources:
+  - layer_range: [56, 64]
+    model: Qwen/Qwen2.5-32B-Instruct
+merge_method: passthrough
+dtype: bfloat16
+```
+
+## 💻 Usage
+
+```python
+!pip install -qU transformers accelerate
+
+from transformers import AutoTokenizer
+import transformers
+import torch
+
+model = "mlabonne/BigQwen2.5-52B-Instruct"
+messages = [{"role": "user", "content": "What is a large language model?"}]
+
+tokenizer = AutoTokenizer.from_pretrained(model)
+prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
+pipeline = transformers.pipeline(
+    "text-generation",
+    model=model,
+    torch_dtype=torch.float16,
+    device_map="auto",
+)
+
+outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
+print(outputs[0]["generated_text"])
 ```