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Add pipeline tag, link to project page (#1)

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- Add pipeline tag, link to project page (777f6fa55cd8aac371d4de321e683e6befa788f6)


Co-authored-by: Niels Rogge <[email protected]>

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  1. README.md +6 -1
README.md CHANGED
@@ -4,9 +4,12 @@ base_model:
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  library_name: transformers
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  tags:
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  - verilog
 
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  ---
 
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  ## CodeV-R1-Qwen-7B
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  ### 1. Introduction
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@@ -78,7 +81,9 @@ vllm serve zhuyaoyu/CodeV-R1-Distill-Qwen-7B --tensor-parallel-size 2 --max-mode
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  During training and evaluation, we use a system prompt
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  ```
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- You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and<answer> </answer> tags, respectively, i.e., <think> reasoning process here </think><answer> answer here </answer>. Now the user asks you to write verilog code. After thinking, when you finally reach a conclusion, enclose the final verilog code in ```verilog ``` within <answer> </answer> tags. i.e., <answer> ```verilog\n module top_module(in, out, ...) ... ``` </answer>.\n
 
 
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  ```
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  It is recommended to use this prompt during inference.
 
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  library_name: transformers
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  tags:
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  - verilog
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+ pipeline_tag: text-generation
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  ---
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+
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  ## CodeV-R1-Qwen-7B
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+ [Project page](https://iprc-dip.github.io/CodeV-R1)
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  ### 1. Introduction
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  During training and evaluation, we use a system prompt
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  ```
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+ You are a helpful assistant. The assistant first thinks about the reasoning process in the mind and then provides the user with the answer. The reasoning process and answer are enclosed within <think> </think> and<answer> </answer> tags, respectively, i.e., <think> reasoning process here </think><answer> answer here </answer>. Now the user asks you to write verilog code. After thinking, when you finally reach a conclusion, enclose the final verilog code in ```verilog ``` within <answer> </answer> tags. i.e., <answer> ```verilog
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+ module top_module(in, out, ...) ... ``` </answer>.
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+
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  ```
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  It is recommended to use this prompt during inference.