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mmnga/webbigdata-alma-7b-ja-v2-gguf overview

webbigdataさんが公開しているALMA-7B-Ja-V2のggufフォーマット変換版です。 v1のggufの各量子化の評価がwebbigdataさんのblogで公開されています webbigdata/1.日英・英日機械翻訳モデルALMA-7B-Ja-V2の公開 モデル一覧 mmnga/webbigdata-ALMA-7B-Ja-V2-gguf mmnga/webbigdata-ALMA-7B-Ja-gguf

ggufarxiv:2309.11674license:llama2endpoints_compatibleregion:us
mmnga/webbigdata-alma-7b-ja-v2-gguf visual
Downloads
333
Likes
3
Pipeline
Library
Visibility
Public
Access
Open

Repository Files & Downloads

12 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
webbigdata-ALMA-7B-Ja-V2-q2_K.gguf GGUF Q2_K 2.63 GB Download
webbigdata-ALMA-7B-Ja-V2-q3_K_L.gguf GGUF Q3_K_L 3.35 GB Download
webbigdata-ALMA-7B-Ja-V2-q3_K_M.gguf GGUF Q3_K_M 3.07 GB Download
webbigdata-ALMA-7B-Ja-V2-q3_K_S.gguf GGUF Q3_K_S 2.75 GB Download
webbigdata-ALMA-7B-Ja-V2-q4_0.gguf GGUF 3.56 GB Download
webbigdata-ALMA-7B-Ja-V2-q4_K_M.gguf GGUF Q4_K_M 3.80 GB Download
webbigdata-ALMA-7B-Ja-V2-q4_K_S.gguf GGUF Q4_K_S 3.59 GB Download
webbigdata-ALMA-7B-Ja-V2-q5_0.gguf GGUF 4.33 GB Download
webbigdata-ALMA-7B-Ja-V2-q5_K_M.gguf GGUF Q5_K_M 4.45 GB Download
webbigdata-ALMA-7B-Ja-V2-q5_K_S.gguf GGUF Q5_K_S 4.33 GB Download
webbigdata-ALMA-7B-Ja-V2-q6_K.gguf GGUF Q6_K 5.15 GB Download
webbigdata-ALMA-7B-Ja-V2-q8_0.gguf GGUF 6.67 GB Download

Model Details Live

Model Slug
mmnga/webbigdata-alma-7b-ja-v2-gguf
Author
mmnga
Pipeline Task
Library
Created
2023-11-06
Last Modified
2023-11-06
Gated
No
Private
No
HF SHA
a513f3348d02e940d12f01b703962bbd7244b621
License
llama2
Language
Unknown
Base Model
Unknown

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "license": "llama2",
    "frontmatter": {
      "license": "llama2"
    },
    "hero_image_url": "",
    "summary": "webbigdataさんが公開しているALMA-7B-Ja-V2のggufフォーマット変換版です。 v1のggufの各量子化の評価がwebbigdataさんのblogで公開されています webbigdata/1.日英・英日機械翻訳モデルALMA-7B-Ja-V2の公開 モデル一覧 mmnga/webbigdata-ALMA-7B-Ja-V2-gguf mmnga/webbigdata-ALMA-7B-Ja-gguf",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nlicense: llama2\n---\n\n# webbigdata-ALMA-7B-Ja-V2-gguf\n[webbigdataさんが公開しているALMA-7B-Ja-V2](https://huggingface.co/webbigdata/ALMA-7B-Ja-V2)のggufフォーマット変換版です。\n\nv1のggufの各量子化の評価がwebbigdataさんのblogで公開されています  \n[webbigdata/1.日英・英日機械翻訳モデルALMA-7B-Ja-V2の公開](https://webbigdata.jp/post-21151/)  \n  \nモデル一覧  \n[mmnga/webbigdata-ALMA-7B-Ja-V2-gguf](https://huggingface.co/mmnga/webbigdata-ALMA-7B-Ja-V2-gguf)  \n[mmnga/webbigdata-ALMA-7B-Ja-gguf](https://huggingface.co/mmnga/webbigdata-ALMA-7B-Ja-gguf)  \n  \n\n## Usage\n\n```\ngit clone https://github.com/ggerganov/llama.cpp.git\ncd llama.cpp\nmake -j\n./main -m 'webbigdata-ALMA-7B-Ja-V2-q4_0.gguf' -n 128 -p 'Translate this from Japanese to English:\\nJapanese: 今日の夕食はピザです。\\nEnglish:'\n```\n\n### 引用 Citations\n\n\n~~~tex\n@misc{xu2023paradigm,\n      title={A Paradigm Shift in Machine Translation: Boosting Translation Performance of Large Language Models}, \n      author={Haoran Xu and Young Jin Kim and Amr Sharaf and Hany Hassan Awadalla},\n      year={2023},\n      eprint={2309.11674},\n      archivePrefix={arXiv},\n      primaryClass={cs.CL}\n}\n~~~\n",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "arxiv:2309.11674",
    "license:llama2",
    "endpoints_compatible",
    "region:us"
  ],
  "likes": 3,
  "downloads": 333,
  "gated": false,
  "private": false,
  "last_modified": "2023-11-06T13:52:03.000Z",
  "created_at": "2023-11-06T12:48:37.000Z",
  "pipeline_tag": "",
  "library_name": ""
}
Source payload excerpt (from Hugging Face API)
{
  "_id": "6548e0a57c66ca163cff0e1d",
  "id": "mmnga/webbigdata-ALMA-7B-Ja-V2-gguf",
  "modelId": "mmnga/webbigdata-ALMA-7B-Ja-V2-gguf",
  "sha": "a513f3348d02e940d12f01b703962bbd7244b621",
  "createdAt": "2023-11-06T12:48:37.000Z",
  "lastModified": "2023-11-06T13:52:03.000Z",
  "author": "mmnga",
  "downloads": 333,
  "likes": 3,
  "gated": false,
  "private": false,
  "pipeline_tag": "",
  "library_name": "",
  "siblings_count": 14
}