Datasets:
File size: 3,896 Bytes
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---
dataset_info:
features:
- name: id
dtype: string
- name: author
dtype: string
- name: sha
dtype: 'null'
- name: created_at
dtype: timestamp[us, tz=UTC]
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dtype: 'null'
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dtype: 'null'
- name: downloads
dtype: int64
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dtype: 'null'
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dtype: 'null'
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dtype: int64
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sequence: string
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dtype: int64
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dtype: int64
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dtype: int64
- name: tie_word_embeddings
dtype: bool
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struct:
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dtype: float64
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dtype: float64
splits:
- name: raw
num_bytes: 70119636
num_examples: 129379
download_size: 9132674
dataset_size: 70119636
configs:
- config_name: default
data_files:
- split: raw
path: data/raw-*
license: apache-2.0
task_categories:
- question-answering
language:
- en
- fr
tags:
- merge
- mergekit
- configs
- code
- automation
pretty_name: 'mergekit-configs: access all Hub architecture'
size_categories:
- 100K<n<1M
---
## Dataset Description
- **Repository:** https://huggingface.co/datasets/louisbrulenaudet/mergekit-configs
- **Leaderboard:** N/A
- **Point of Contact:** [Louis Brulé Naudet](mailto:[email protected])
<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 [[email protected]](mailto:[email protected]). |