SuperkingbasSKB
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Update README.md
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README.md
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@@ -36,7 +36,7 @@ KeyError: 'qwen2'
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```
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## **Support Community**
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**https://discord.gg/
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## **Implementation**
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prompt = "บริษัท A มีต้นทุนคงที่ 100,000 บาท และต้นทุนผันแปรต่อหน่วย 50 บาท ขายสินค้าได้ในราคา 150 บาทต่อหน่วย ต้องขายสินค้าอย่างน้อยกี่หน่วยเพื่อให้ถึงจุดคุ้มทุน?"
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messages = [
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{"role": "system", "content": "
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{"role": "user", "content": prompt}
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]
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text = tokenizer.apply_chat_template(
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generated_ids = model.generate(
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model_inputs.input_ids,
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max_new_tokens=4096,
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repetition_penalty=1.
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)
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response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
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print(response)
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```
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## **Evaluation Performance**
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| Model |
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| :--- | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |
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| Meta-Llama-3.1-8B |
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## **Citation**
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```
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## **Support Community**
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**https://discord.gg/3WJwJjZt7r**
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## **Implementation**
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prompt = "บริษัท A มีต้นทุนคงที่ 100,000 บาท และต้นทุนผันแปรต่อหน่วย 50 บาท ขายสินค้าได้ในราคา 150 บาทต่อหน่วย ต้องขายสินค้าอย่างน้อยกี่หน่วยเพื่อให้ถึงจุดคุ้มทุน?"
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messages = [
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{"role": "system", "content": "You are Pathumma LLM, created by NECTEC. Your are a helpful assistant."},
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{"role": "user", "content": prompt}
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]
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text = tokenizer.apply_chat_template(
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generated_ids = model.generate(
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model_inputs.input_ids,
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max_new_tokens=4096,
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repetition_penalty=1.1,
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temperature = 0.4
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)
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response = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
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print(response)
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```
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## **Evaluation Performance**
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| Model | m3exam | thaiexam | xcopa | belebele | xnli | thaisentiment | XL sum | flores200 eng > th | flores200 th > eng | iapp | AVG(NLU) | AVG(MC) | AVG(NLG)
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| :--- | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: | :---: |
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| Pathumma-llm-text-1.0.0 | 55.02 | 51.32 | 83 | 77.77 | 40.11 | 41.29 | 16.9286253 | 26.54 | 51.88 | 41.28 |
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| Openthaigpt1.5-7b-instruct | 54.01 | 52.04 | 85.4 | 79.44 | 39.7 | 50.24 | 18.11 | 29.09 | 29.58 | 32.49 | 63.70 | 53.03 | 27.32 |
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| SeaLLMs-v3-7B-Chat | 51.43 | 51.33 | 83.4 | 78.22 | 34.05 | 39.57 | 20.27 | 32.91 | 28.8 | 48.12 | 58.81 | 51.38 | 32.53 |
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| llama-3-typhoon-v1.5-8B | 43.82 | 41.95 | 81.6 | 71.89 | 33.35 | 38.45 | 16.66 | 31.94 | 28.86 | 54.78 | 56.32 | 42.89 | 33.06 |
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| Meta-Llama-3.1-8B-Instruct | 45.11 | 43.89 | 73.4 | 74.89 | 33.49 | 45.45 | 21.61 | 30.45 | 32.28 | 68.57 | 56.81 | 44.50 | 38.23 |
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## **Citation**
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