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  InverseCoder is a series of code LLMs instruction-tuned by generating data from itself through Inverse-Instruct.
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- ## Models
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  | | Base Model | InverseCoder | Dataset |
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  | --- | ---------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------ |
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  | 7B | [codellama/CodeLlama-7b-Python-hf](https://huggingface.co/codellama/CodeLlama-7b-Python-hf) | [wyt2000/InverseCoder-CL-7B](https://huggingface.co/wyt2000/InverseCoder-CL-7B) | [wyt2000/InverseCoder-CL-7B-Evol-Instruct-90K](https://huggingface.co/datasets/wyt2000/InverseCoder-DS-6.7B-Evol-Instruct-90K) |
@@ -152,7 +152,7 @@ InverseCoder is a series of code LLMs instruction-tuned by generating data from
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  ## Paper
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  **Arxiv:** <https://arxiv.org/abs/2407.05700>
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- Please cite the paper if you use the data or code from InverseCoder.
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  ```
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  @misc{wu2024inversecoderunleashingpowerinstructiontuned,
 
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  InverseCoder is a series of code LLMs instruction-tuned by generating data from itself through Inverse-Instruct.
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+ ## Models and Datasets
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  | | Base Model | InverseCoder | Dataset |
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  | --- | ---------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------------------------ |
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  | 7B | [codellama/CodeLlama-7b-Python-hf](https://huggingface.co/codellama/CodeLlama-7b-Python-hf) | [wyt2000/InverseCoder-CL-7B](https://huggingface.co/wyt2000/InverseCoder-CL-7B) | [wyt2000/InverseCoder-CL-7B-Evol-Instruct-90K](https://huggingface.co/datasets/wyt2000/InverseCoder-DS-6.7B-Evol-Instruct-90K) |
 
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  ## Paper
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  **Arxiv:** <https://arxiv.org/abs/2407.05700>
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+ Please cite the paper if you use the models or datasets from InverseCoder.
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  ```
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  @misc{wu2024inversecoderunleashingpowerinstructiontuned,