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  1. README.md +14 -9
README.md CHANGED
@@ -1,20 +1,21 @@
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  ---
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  base_model: LGAI-EXAONE/EXAONE-Deep-7.8B
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- base_model_relation: quantized
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- license: other
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- license_name: exaone
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- license_link: LICENSE
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  language:
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  - en
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  - ko
 
 
 
 
 
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  tags:
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  - lg-ai
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  - exaone
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  - exaone-deep
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- pipeline_tag: text-generation
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- library_name: transformers
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  ---
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  <p align="center">
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  <img src="assets/EXAONE_Symbol+BI_3d.png", width="300", style="margin: 40 auto;">
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  <br>
@@ -145,8 +146,11 @@ We provide the pre-quantized EXAONE Deep models with **AWQ** and several quantiz
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  To achieve the expected performance, we recommend using the following configurations:
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- 1. Ensure the model starts with `<thought>\n` for reasoning steps. The model's output quality may be degraded when you omit it. You can easily apply this feature by using `tokenizer.apply_chat_template()` with `add_generation_prompt=True`. Please check the example code on [Quickstart](#quickstart) section.
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- 2. The reasoning steps of EXAONE Deep models enclosed by `<thought>\n...\n</thought>` usually have lots of tokens, so previous reasoning steps may be necessary to be removed in multi-turn situation. The provided tokenizer handles this automatically.
 
 
 
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  3. Avoid using system prompt, and build the instruction on the user prompt.
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  4. Additional instructions help the models reason more deeply, so that the models generate better output.
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  - For math problems, the instructions **"Please reason step by step, and put your final answer within \boxed{}."** are helpful.
@@ -184,4 +188,5 @@ The model is licensed under [EXAONE AI Model License Agreement 1.1 - NC](./LICEN
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  ```
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  ## Contact
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- LG AI Research Technical Support: [email protected]
 
 
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  ---
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  base_model: LGAI-EXAONE/EXAONE-Deep-7.8B
 
 
 
 
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  language:
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  - en
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  - ko
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+ library_name: transformers
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+ license: other
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+ license_name: exaone
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+ license_link: LICENSE
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+ pipeline_tag: text-generation
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  tags:
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  - lg-ai
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  - exaone
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  - exaone-deep
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+ base_model_relation: quantized
 
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  ---
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+ ```markdown
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  <p align="center">
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  <img src="assets/EXAONE_Symbol+BI_3d.png", width="300", style="margin: 40 auto;">
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  <br>
 
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  To achieve the expected performance, we recommend using the following configurations:
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+ 1. Ensure the model starts with `<thought>
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+ ` for reasoning steps. The model's output quality may be degraded when you omit it. You can easily apply this feature by using `tokenizer.apply_chat_template()` with `add_generation_prompt=True`. Please check the example code on [Quickstart](#quickstart) section.
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+ 2. The reasoning steps of EXAONE Deep models enclosed by `<thought>
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+ ...
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+ </thought>` usually have lots of tokens, so previous reasoning steps may be necessary to be removed in multi-turn situation. The provided tokenizer handles this automatically.
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  3. Avoid using system prompt, and build the instruction on the user prompt.
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  4. Additional instructions help the models reason more deeply, so that the models generate better output.
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  - For math problems, the instructions **"Please reason step by step, and put your final answer within \boxed{}."** are helpful.
 
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  ```
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  ## Contact
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+ LG AI Research Technical Support: [email protected]
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+ ```