README.md

metadata

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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    - name: disabled
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    - name: downloads
      dtype: int64
    - name: downloads_all_time
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    - name: gated
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    - name: gguf
      dtype: 'null'
    - name: inference
      dtype: 'null'
    - name: likes
      dtype: int64
    - name: library_name
      dtype: string
    - name: tags
      sequence: string
    - name: pipeline_tag
      dtype: string
    - name: mask_token
      dtype: 'null'
    - name: model_index
      dtype: 'null'
    - name: trending_score
      dtype: int64
    - name: architectures
      sequence: string
    - name: bos_token_id
      dtype: int64
    - name: eos_token_id
      dtype: int64
    - name: hidden_act
      dtype: string
    - name: hidden_size
      dtype: int64
    - name: initializer_range
      dtype: float64
    - name: intermediate_size
      dtype: int64
    - name: max_position_embeddings
      dtype: int64
    - name: model_type
      dtype: string
    - name: num_attention_heads
      dtype: int64
    - name: num_hidden_layers
      dtype: int64
    - name: num_key_value_heads
      dtype: int64
    - name: rms_norm_eps
      dtype: float64
    - name: rope_theta
      dtype: float64
    - name: sliding_window
      dtype: int64
    - name: tie_word_embeddings
      dtype: bool
    - name: torch_dtype
      dtype: string
    - name: transformers_version
      dtype: string
    - name: use_cache
      dtype: bool
    - name: vocab_size
      dtype: int64
    - name: attention_bias
      dtype: bool
    - name: attention_dropout
      dtype: float64
    - name: head_dim
      dtype: int64
    - name: mlp_bias
      dtype: bool
    - name: pretraining_tp
      dtype: int64
    - name: rope_scaling
      struct:
        - name: factor
          dtype: float64
        - name: original_max_position_embeddings
          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

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.

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.

@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].