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mergekit-configs

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魔搭社区2025-11-27 更新2025-11-03 收录
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https://modelscope.cn/datasets/louisbrulenaudet/mergekit-configs
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## Dataset Description - **Repository:** https://huggingface.co/datasets/louisbrulenaudet/mergekit-configs - **Leaderboard:** N/A - **Point of Contact:** [Louis Brulé Naudet](mailto:louisbrulenaudet@icloud.com) <img src="assets/thumbnail.webp"> # MergeKit-configs: access all Hub architectures and automate your model merging process This dataset facilitates the search for compatible architectures for model merging with MergeKit, streamlining the automation of high-performance merge searches. It provides a snapshot of the Hub’s configuration state, eliminating the need to manually open configuration files. ```python import polars as pl # Login using e.g. `huggingface-cli login` to access this dataset df = pl.read_parquet('hf://datasets/louisbrulenaudet/mergekit-configs/data/raw-00000-of-00001.parquet') result = ( df.groupby( [ "architectures", "hidden_size", "model_type", "intermediate_size" ] ).agg( pl.struct([pl.col("id")]).alias("models") ) ) ``` ## Citing & Authors If you use this dataset in your research, please use the following BibTeX entry. ```BibTeX @misc{HFforLegal2024, author = {Louis Brulé Naudet}, title = {MergeKit-configs: access all Hub architectures and automate your model merging process}, year = {2024} howpublished = {\url{https://huggingface.co/datasets/louisbrulenaudet/mergekit-configs}}, } ``` ## Feedback If you have any feedback, please reach out at [louisbrulenaudet@icloud.com](mailto:louisbrulenaudet@icloud.com).

## 数据集说明 - **仓库地址:** https://huggingface.co/datasets/louisbrulenaudet/mergekit-configs - **排行榜:** 无 - **联系人:** [Louis Brulé Naudet](mailto:louisbrulenaudet@icloud.com) ![数据集缩略图](assets/thumbnail.webp) # MergeKit-configs:接入所有Hugging Face Hub架构,自动化模型合并流程 本数据集可辅助查找适配MergeKit(模型合并工具)的模型合并兼容架构,简化高性能合并搜索的自动化流程。该数据集收录了Hub的配置状态快照,无需手动打开配置文件即可获取相关信息。 python import polars as pl # 请使用例如 `huggingface-cli login` 登录以访问本数据集 df = pl.read_parquet('hf://datasets/louisbrulenaudet/mergekit-configs/data/raw-00000-of-00001.parquet') result = ( df.groupby( [ "architectures", "hidden_size", "model_type", "intermediate_size" ] ).agg( pl.struct([pl.col("id")]).alias("models") ) ) ## 引用与作者 若您在研究中使用本数据集,请遵循以下BibTeX引用格式。 BibTeX @misc{HFforLegal2024, author = {Louis Brulé Naudet}, title = {MergeKit-configs: access all Hub architectures and automate your model merging process}, year = {2024} howpublished = {url{https://huggingface.co/datasets/louisbrulenaudet/mergekit-configs}}, } ## 反馈 如有任何反馈,请联系[louisbrulenaudet@icloud.com](mailto:louisbrulenaudet@icloud.com).
提供机构:
maas
创建时间:
2025-10-13
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