move folders and update readme (#528)

* move folders

* update readme

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Co-authored-by: liukai <your_email@abc.example>
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@ -20,15 +20,15 @@ git clone github.com/open-mmlab/mmrazor-examples.git
## Model-Algorithm Example Matrix
| | ResNet | OPT | LLama | Stable diffusion |
| --------------------------------------------- | ------------------------------------------------------------------------- | --------------------------------------------------------------------------- | ----------------------------------------------------------------------------- | ---------------- |
| [SparseGPT](examples/algorithms/SparseGPT.md) | [:white_check_mark:](examples/model_examples/ResNet/sparse_gpt/README.md) | [:white_check_mark:](examples/model_examples/language_models/OPT/README.md) | [:white_check_mark:](examples/model_examples/language_models/Llama/README.md) | |
| | ResNet | OPT | LLama | Stable diffusion |
| ------------------------------------ | ---------------------------------------------------------- | ------------------------------------------------------------ | -------------------------------------------------------------- | ---------------- |
| [SparseGPT](algorithms/SparseGPT.md) | [:white_check_mark:](examples/ResNet/sparse_gpt/README.md) | [:white_check_mark:](examples/language_models/OPT/README.md) | [:white_check_mark:](examples/language_models/Llama/README.md) | |
## PaperList
We provide a paperlist for researchers in the field of model compression for large models. If you want to add your paper to this list, please submit a PR.
| Paper | Title | Type | MMRazor |
| --------- | --------------------------------------------------------------------------------------------------------------------- | ------- | ------------------------------------------------------ |
| SparseGPT | [SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot](https://arxiv.org/abs/2301.00774) | Pruning | [:white_check_mark:](examples/algorithms/SparseGPT.md) |
| GPTQ | [GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers](https://arxiv.org/abs/2210.17323) | Quant | |
| Paper | Title | Type | MMRazor |
| --------- | --------------------------------------------------------------------------------------------------------------------- | ------- | --------------------------------------------- |
| SparseGPT | [SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot](https://arxiv.org/abs/2301.00774) | Pruning | [:white_check_mark:](algorithms/SparseGPT.md) |
| GPTQ | [GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers](https://arxiv.org/abs/2210.17323) | Quant | |

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@ -34,9 +34,9 @@ model = mutator.to_static_model(model)
## Full Examples
- [ResNet](../model_examples/ResNet/sparse_gpt/README.md)
- [OPT](../model_examples/language_models/OPT/README.md)
- [Llama](../model_examples/language_models/Llama/README.md)
- [ResNet](../examples/ResNet/sparse_gpt/README.md)
- [OPT](../examples/language_models/OPT/README.md)
- [Llama](../examples/language_models/Llama/README.md)
## Cite