GraySoft
Projects Models About FAQ Contact Download guIDE →

mmnga/tokyotech-llm-llama-3.1-swallow-70b-instruct-v0.1-gguf IQ2_XXS GGUF - Free GGUF Download is indexed on GraySoft with repository links, GGUF quant files, and Hugging Face metadata. This page helps you pick a local model for guIDE or other runtimes. See related models in the same shard below.

Model Intelligence Sheet

mmnga/tokyotech-llm-llama-3.1-swallow-70b-instruct-v0.1-gguf overview

tokyotech-llmさんが公開しているLlama-3.1-Swallow-70B-Instruct-v0.1のggufフォーマット変換版です。 imatrixのデータはTFMC/imatrix-dataset-for-japanese-llmを使用して作成しました。 # convert llama.cppで変換に失敗する場合は、こちらの修正してみてください。

ggufenjadataset:TFMC/imatrix-dataset-for-japanese-llmlicense:llama3.1license:gemmaendpoints_compatibleregion:usimatrixconversational
mmnga/tokyotech-llm-llama-3.1-swallow-70b-instruct-v0.1-gguf visual
Downloads
369
Likes
3
Pipeline
Library
Visibility
Public
Access
Open

Repository Files & Downloads

20 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
tokyotech-llm-Llama-3.1-Swallow-70B-Instruct-v0.1-IQ1_M.gguf GGUF IQ1_M 15.60 GB Download
tokyotech-llm-Llama-3.1-Swallow-70B-Instruct-v0.1-IQ1_S.gguf GGUF IQ1_S 14.29 GB Download
tokyotech-llm-Llama-3.1-Swallow-70B-Instruct-v0.1-IQ2_M.gguf GGUF IQ2_M 22.46 GB Download
tokyotech-llm-Llama-3.1-Swallow-70B-Instruct-v0.1-IQ2_S.gguf GGUF IQ2_S 20.71 GB Download
tokyotech-llm-Llama-3.1-Swallow-70B-Instruct-v0.1-IQ2_XS.gguf GGUF IQ2_XS 19.69 GB Download
tokyotech-llm-Llama-3.1-Swallow-70B-Instruct-v0.1-IQ2_XXS.gguf GGUF IQ2_XXS 17.79 GB Download
tokyotech-llm-Llama-3.1-Swallow-70B-Instruct-v0.1-IQ3_M.gguf GGUF IQ3_M 29.74 GB Download
tokyotech-llm-Llama-3.1-Swallow-70B-Instruct-v0.1-IQ3_S.gguf GGUF IQ3_S 28.79 GB Download
tokyotech-llm-Llama-3.1-Swallow-70B-Instruct-v0.1-IQ3_XS.gguf GGUF IQ3_XS 27.29 GB Download
tokyotech-llm-Llama-3.1-Swallow-70B-Instruct-v0.1-IQ3_XXS.gguf GGUF IQ3_XXS 25.58 GB Download
tokyotech-llm-Llama-3.1-Swallow-70B-Instruct-v0.1-IQ4_NL.gguf GGUF IQ4_NL 37.30 GB Download
tokyotech-llm-Llama-3.1-Swallow-70B-Instruct-v0.1-IQ4_XS.gguf GGUF IQ4_XS 35.30 GB Download
tokyotech-llm-Llama-3.1-Swallow-70B-Instruct-v0.1-Q2_K.gguf GGUF Q2_K 24.56 GB Download
tokyotech-llm-Llama-3.1-Swallow-70B-Instruct-v0.1-Q3_K_L.gguf GGUF Q3_K_L 34.59 GB Download
tokyotech-llm-Llama-3.1-Swallow-70B-Instruct-v0.1-Q3_K_M.gguf GGUF Q3_K_M 31.91 GB Download
tokyotech-llm-Llama-3.1-Swallow-70B-Instruct-v0.1-Q3_K_S.gguf GGUF Q3_K_S 28.79 GB Download
tokyotech-llm-Llama-3.1-Swallow-70B-Instruct-v0.1-Q4_0.gguf GGUF 37.22 GB Download
tokyotech-llm-Llama-3.1-Swallow-70B-Instruct-v0.1-Q4_K_M.gguf GGUF Q4_K_M 39.60 GB Download
tokyotech-llm-Llama-3.1-Swallow-70B-Instruct-v0.1-Q4_K_S.gguf GGUF Q4_K_S 37.58 GB Download
tokyotech-llm-Llama-3.1-Swallow-70B-Instruct-v0.1-Q5_K_S.gguf GGUF Q5_K_S 45.32 GB Download

Model Details Live

Model Slug
mmnga/tokyotech-llm-llama-3.1-swallow-70b-instruct-v0.1-gguf
Author
mmnga
Pipeline Task
Library
Created
2024-10-10
Last Modified
2024-10-10
Gated
No
Private
No
HF SHA
ecb7ae63620e4e7708ec4fc5f7effb69abb9eb13
License
Unknown
Language
Unknown
Base Model
Unknown

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "license": [
      "llama3.1",
      "gemma"
    ],
    "language": [
      "en",
      "ja"
    ],
    "datasets": [
      "TFMC/imatrix-dataset-for-japanese-llm"
    ],
    "frontmatter": {},
    "hero_image_url": "",
    "summary": "tokyotech-llmさんが公開しているLlama-3.1-Swallow-70B-Instruct-v0.1のggufフォーマット変換版です。 imatrixのデータはTFMC/imatrix-dataset-for-japanese-llmを使用して作成しました。 # convert llama.cppで変換に失敗する場合は、こちらの修正してみてください。",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "\n---\nlicense:\n- llama3.1\n- gemma\nlanguage:\n- en\n- ja\ndatasets:\n- TFMC/imatrix-dataset-for-japanese-llm\n---\n\n# tokyotech-llm-Llama-3.1-Swallow-70B-Instruct-v0.1-gguf\n[tokyotech-llmさんが公開しているLlama-3.1-Swallow-70B-Instruct-v0.1](https://huggingface.co/tokyotech-llm/Llama-3.1-Swallow-70B-Instruct-v0.1)のggufフォーマット変換版です。  \n\nimatrixのデータは[TFMC/imatrix-dataset-for-japanese-llm](https://huggingface.co/datasets/TFMC/imatrix-dataset-for-japanese-llm)を使用して作成しました。  \n\n# convert\nllama.cppで変換に失敗する場合は、[こちらの修正](https://github.com/ggerganov/llama.cpp/pull/9807/files)してみてください。\n  \n## Usage\n\n```\ngit clone https://github.com/ggerganov/llama.cpp.git\ncd llama.cpp\nmake -j\n./llama-cli -m 'tokyotech-llm-Llama-3.1-Swallow-70B-Instruct-v0.1-Q4_0.gguf' -n 128 -c 128 -p 'あなたはプロの料理人です。レシピを教えて' -cnv\n```\n",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "en",
    "ja",
    "dataset:TFMC/imatrix-dataset-for-japanese-llm",
    "license:llama3.1",
    "license:gemma",
    "endpoints_compatible",
    "region:us",
    "imatrix",
    "conversational"
  ],
  "likes": 3,
  "downloads": 369,
  "gated": false,
  "private": false,
  "last_modified": "2024-10-10T09:34:20.000Z",
  "created_at": "2024-10-10T01:38:48.000Z",
  "pipeline_tag": "",
  "library_name": ""
}
Source payload excerpt (from Hugging Face API)
{
  "_id": "6707302810cecf0ee8e99293",
  "id": "mmnga/tokyotech-llm-Llama-3.1-Swallow-70B-Instruct-v0.1-gguf",
  "modelId": "mmnga/tokyotech-llm-Llama-3.1-Swallow-70B-Instruct-v0.1-gguf",
  "sha": "ecb7ae63620e4e7708ec4fc5f7effb69abb9eb13",
  "createdAt": "2024-10-10T01:38:48.000Z",
  "lastModified": "2024-10-10T09:34:20.000Z",
  "author": "mmnga",
  "downloads": 369,
  "likes": 3,
  "gated": false,
  "private": false,
  "pipeline_tag": "",
  "library_name": "",
  "siblings_count": 26
}