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Model: mesolitica/Malaysian-Qwen2.5-7B-Instruct
Source: Original Platform

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README.md

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+---
+language:
+- ms
+- en
+- zh
+- ta
+---
+
+# Malaysian Qwen 2.5 7B Instruct
+
+Continue finetuning https://huggingface.co/Qwen/Qwen2.5-7B-Instruct on highly curated 1.5B tokens Malaysian instruction dataset.
+
+We provide 2 different revisions,
+
+1. Rank 128, Alpha 256, [83a0e145c726385502898ab7e016982eae1b684d](https://huggingface.co/mesolitica/Malaysian-Qwen2.5-7B-Instruct/commit/83a0e145c726385502898ab7e016982eae1b684d)
+2. Rank 256, Alpha 512, [5679143eadc2e7deb3bc61ec69ff301b2ba6a4e1](https://huggingface.co/mesolitica/Malaysian-Qwen2.5-7B-Instruct/commit/5679143eadc2e7deb3bc61ec69ff301b2ba6a4e1)
+
+## Improvement
+
+1. Support respond in Mandarin, Tamil, Jawi, Manglish, Johor, Kedah, Kelantan, Pahang, Perak, Sabah, Sarawak, Selangor, Negeri Sembilan and Terengganu.
+2. Able to code in Mandarin, Tamil, Jawi, Manglish, Johor, Kedah, Kelantan, Pahang, Perak, Sabah, Sarawak, Selangor, Negeri Sembilan and Terengganu.
+3. Multi-turn Malaysian context such as related to Malaysian Legislation, politics, religions and languages.
+
+## Training session
+
+Finetune on [mesolitica/Malaysian-SFT](https://huggingface.co/datasets/mesolitica/Malaysian-SFT) to make the model understand Malaysian context.
+
+## How we train
+
+1. LoRA on `["q_proj", "k_proj", "v_proj", "o_proj", "gate_proj", "up_proj", "down_proj", "embed_tokens", "lm_head"]`.
+2. Multipacking 8192 context length with proper SDPA causal masking to prevent document contamination and also make sure proper position ids.
+3. Chunk CCE loss for LoRA.
+   
+### Revision 83a0e145c726385502898ab7e016982eae1b684d
+
+1. Rank 128, Alpha 256.
+2. WanDB at https://wandb.ai/huseinzol05/lora-embedding-128-qwen2.5-7b-malaysian-8k
+
+Source code at https://github.com/mesolitica/malaya/tree/master/session/qwen2.5
+
+### Revision 5679143eadc2e7deb3bc61ec69ff301b2ba6a4e1
+
+1. Rank 256, Alpha 512.
+2. WanDB at https://wandb.ai/huseinzol05/lora-embedding-256-qwen2.5-7b-malaysian-8k
+
+Source code at https://github.com/mesolitica/malaya/tree/master/session/qwen2.5
+
+## Benchmark
+
+### MalayMMLU
+
+#### Probability next tokens
+
+Based on 0-shot official MalayMMLU First token accuracy,
+
+Revision 83a0e145c726385502898ab7e016982eae1b684d,
+
+```
+                          Model   Accuracy   shot by_letter        category
+0  Malaysian-Qwen2.5-7B-Instruct  72.042571  0shot      True            STEM
+1  Malaysian-Qwen2.5-7B-Instruct  70.690204  0shot      True        Language
+2  Malaysian-Qwen2.5-7B-Instruct  66.536571  0shot      True  Social science
+3  Malaysian-Qwen2.5-7B-Instruct  67.306308  0shot      True          Others
+4  Malaysian-Qwen2.5-7B-Instruct  71.808874  0shot      True      Humanities
+{'Social science': 6918, 'Language': 6288, 'Humanities': 4395, 'Others': 4169, 'STEM': 2443}
+Model : Malaysian-Qwen2.5-7B-Instruct
+Metric : first
+Shot : 0shot
+average accuracy 69.26031470697559
+accuracy for STEM 72.04257060990585
+accuracy for Language 70.69020356234097
+accuracy for Social science 66.53657126337092
+accuracy for Others 67.30630846725833
+accuracy for Humanities 71.80887372013652
+```
+
+Revision 5679143eadc2e7deb3bc61ec69ff301b2ba6a4e1,
+
+```
+```
+
+While the original model,
+
+```
+                 Model   Accuracy   shot by_letter        category
+0  Qwen2.5-7B-Instruct  70.609906  0shot      True            STEM
+1  Qwen2.5-7B-Instruct  68.034351  0shot      True        Language
+2  Qwen2.5-7B-Instruct  63.486557  0shot      True  Social science
+3  Qwen2.5-7B-Instruct  64.164068  0shot      True          Others
+4  Qwen2.5-7B-Instruct  69.101251  0shot      True      Humanities
+{'Social science': 6918, 'Language': 6288, 'Humanities': 4395, 'Others': 4169, 'STEM': 2443}
+Model : Qwen2.5-7B-Instruct
+Metric : first
+Shot : 0shot
+average accuracy 66.52211621856027
+accuracy for STEM 70.60990585345887
+accuracy for Language 68.03435114503816
+accuracy for Social science 63.486556808326114
+accuracy for Others 64.16406812185176
+accuracy for Humanities 69.10125142207053
+```
+
+#### First token match using vLLM
+
+Based on 0-shot exact first token match using vLLM Guided Decoding,
+
+Revision 83a0e145c726385502898ab7e016982eae1b684d,
+
+```
+                           Model   Accuracy  shot        category
+0  Malaysian-Qwen2.5-7B-Instruct  70.159640     0            STEM
+1  Malaysian-Qwen2.5-7B-Instruct  66.682570     0        Language
+2  Malaysian-Qwen2.5-7B-Instruct  62.893900     0  Social science
+3  Malaysian-Qwen2.5-7B-Instruct  64.379947     0          Others
+4  Malaysian-Qwen2.5-7B-Instruct  66.780432     0      Humanities
+Model : Malaysian-Qwen2.5-7B-Instruct
+Metric : full
+Shot : 0
+average accuracy 65.57221327386115
+accuracy for STEM 70.15963978714696
+accuracy for Language 66.68256997455471
+accuracy for Social science 62.89389997108991
+accuracy for Others 64.37994722955145
+accuracy for Humanities 66.78043230944255
+```
+
+Revision 5679143eadc2e7deb3bc61ec69ff301b2ba6a4e1,
+
+```
+```
+
+While the original model,
+
+```
+                 Model   Accuracy  shot        category
+0  Qwen2.5-7B-Instruct  70.978305     0            STEM
+1  Qwen2.5-7B-Instruct  68.177481     0        Language
+2  Qwen2.5-7B-Instruct  64.238219     0  Social science
+3  Qwen2.5-7B-Instruct  64.643799     0          Others
+4  Qwen2.5-7B-Instruct  70.443686     0      Humanities
+Model : Qwen2.5-7B-Instruct
+Metric : full
+Shot : 0
+average accuracy 67.13748812621319
+accuracy for STEM 70.97830536225952
+accuracy for Language 68.17748091603053
+accuracy for Social science 64.23821913847932
+accuracy for Others 64.64379947229551
+accuracy for Humanities 70.44368600682593
+```
+
+## Acknowledgement
+
+Special thanks to https://www.sns.com.my and Nvidia for 8x H100 node!

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config.json

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+  "vocab_size": 152064
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+}

special_tokens_map.json

@@ -0,0 +1,31 @@
+{
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "eos_token": {
+    "content": "<|im_end|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  },
+  "pad_token": {
+    "content": "<|endoftext|>",
+    "lstrip": false,
+    "normalized": false,
+    "rstrip": false,
+    "single_word": false
+  }
+}

tokenizer.json

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:9c5ae00e602b8860cbd784ba82a8aa14e8feecec692e7076590d014d7b7fdafa
+size 11421896

tokenizer_config.json

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+{
+  "add_bos_token": false,
+  "add_prefix_space": false,
+  "added_tokens_decoder": {
+    "151643": {
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+      "lstrip": false,
+      "normalized": false,
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+      "single_word": false,
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+      "single_word": false,
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+      "special": true
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+      "special": true
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+      "single_word": false,
+      "special": false
+    },
+    "151658": {
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+    },
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+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151660": {
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+      "special": false
+    },
+    "151661": {
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+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151662": {
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+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151663": {
+      "content": "<|repo_name|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    },
+    "151664": {
+      "content": "<|file_sep|>",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": false
+    }
+  },
+  "additional_special_tokens": [
+    "<|im_start|>",
+    "<|im_end|>",
+    "<|object_ref_start|>",
+    "<|object_ref_end|>",
+    "<|box_start|>",
+    "<|box_end|>",
+    "<|quad_start|>",
+    "<|quad_end|>",
+    "<|vision_start|>",
+    "<|vision_end|>",
+    "<|vision_pad|>",
+    "<|image_pad|>",
+    "<|video_pad|>"
+  ],
+  "bos_token": null,
+  "chat_template": "{%- if tools %}\n    {{- '<|im_start|>system\\n' }}\n    {%- if messages[0]['role'] == 'system' %}\n        {{- messages[0]['content'] }}\n    {%- else %}\n        {{- 'You are Qwen, created by Alibaba Cloud. You are a helpful assistant.' }}\n    {%- endif %}\n    {{- \"\\n\\n# Tools\\n\\nYou may call one or more functions to assist with the user query.\\n\\nYou are provided with function signatures within <tools></tools> XML tags:\\n<tools>\" }}\n    {%- for tool in tools %}\n        {{- \"\\n\" }}\n        {{- tool | tojson }}\n    {%- endfor %}\n    {{- \"\\n</tools>\\n\\nFor each function call, return a json object with function name and arguments within <tool_call></tool_call> XML tags:\\n<tool_call>\\n{\\\"name\\\": <function-name>, \\\"arguments\\\": <args-json-object>}\\n</tool_call><|im_end|>\\n\" }}\n{%- else %}\n    {%- if messages[0]['role'] == 'system' %}\n        {{- '<|im_start|>system\\n' + messages[0]['content'] + '<|im_end|>\\n' }}\n    {%- else %}\n        {{- '<|im_start|>system\\nYou are Qwen, created by Alibaba Cloud. You are a helpful assistant.<|im_end|>\\n' }}\n    {%- endif %}\n{%- endif %}\n{%- for message in messages %}\n    {%- if (message.role == \"user\") or (message.role == \"system\" and not loop.first) or (message.role == \"assistant\" and not message.tool_calls) %}\n        {{- '<|im_start|>' + message.role + '\\n' + message.content + '<|im_end|>' + '\\n' }}\n    {%- elif message.role == \"assistant\" %}\n        {{- '<|im_start|>' + message.role }}\n        {%- if message.content %}\n            {{- '\\n' + message.content }}\n        {%- endif %}\n        {%- for tool_call in message.tool_calls %}\n            {%- if tool_call.function is defined %}\n                {%- set tool_call = tool_call.function %}\n            {%- endif %}\n            {{- '\\n<tool_call>\\n{\"name\": \"' }}\n            {{- tool_call.name }}\n            {{- '\", \"arguments\": ' }}\n            {{- tool_call.arguments | tojson }}\n            {{- '}\\n</tool_call>' }}\n        {%- endfor %}\n        {{- '<|im_end|>\\n' }}\n    {%- elif message.role == \"tool\" %}\n        {%- if (loop.index0 == 0) or (messages[loop.index0 - 1].role != \"tool\") %}\n            {{- '<|im_start|>user' }}\n        {%- endif %}\n        {{- '\\n<tool_response>\\n' }}\n        {{- message.content }}\n        {{- '\\n</tool_response>' }}\n        {%- if loop.last or (messages[loop.index0 + 1].role != \"tool\") %}\n            {{- '<|im_end|>\\n' }}\n        {%- endif %}\n    {%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|im_start|>assistant\\n' }}\n{%- endif %}\n",
+  "clean_up_tokenization_spaces": false,
+  "eos_token": "<|im_end|>",
+  "errors": "replace",
+  "extra_special_tokens": {},
+  "model_max_length": 131072,
+  "pad_token": "<|endoftext|>",
+  "split_special_tokens": false,
+  "tokenizer_class": "Qwen2Tokenizer",
+  "unk_token": null
+}