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mmnga/abeja-qwen2.5-7b-japanese-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/abeja-qwen2.5-7b-japanese-v0.1-gguf overview

abejaさんが公開しているABEJA-Qwen2.5-7b-Japanese-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。

ggufenjadataset:TFMC/imatrix-dataset-for-japanese-llmbase_model:abeja/ABEJA-Qwen2.5-7b-Japanese-v0.1base_model:quantized:abeja/ABEJA-Qwen2.5-7b-Japanese-v0.1license:apache-2.0endpoints_compatibleregion:usimatrixconversational
mmnga/abeja-qwen2.5-7b-japanese-v0.1-gguf visual
Downloads
233
Likes
3
Pipeline
Library
Visibility
Public
Access
Open

Repository Files & Downloads

24 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
ABEJA-Qwen2.5-7b-Japanese-v0.1-IQ1_M.gguf GGUF IQ1_M 1.90 GB Download
ABEJA-Qwen2.5-7b-Japanese-v0.1-IQ1_S.gguf GGUF IQ1_S 1.77 GB Download
ABEJA-Qwen2.5-7b-Japanese-v0.1-IQ2_M.gguf GGUF IQ2_M 2.59 GB Download
ABEJA-Qwen2.5-7b-Japanese-v0.1-IQ2_S.gguf GGUF IQ2_S 2.42 GB Download
ABEJA-Qwen2.5-7b-Japanese-v0.1-IQ2_XS.gguf GGUF IQ2_XS 2.30 GB Download
ABEJA-Qwen2.5-7b-Japanese-v0.1-IQ2_XXS.gguf GGUF IQ2_XXS 2.12 GB Download
ABEJA-Qwen2.5-7b-Japanese-v0.1-IQ3_M.gguf GGUF IQ3_M 3.33 GB Download
ABEJA-Qwen2.5-7b-Japanese-v0.1-IQ3_S.gguf GGUF IQ3_S 3.26 GB Download
ABEJA-Qwen2.5-7b-Japanese-v0.1-IQ3_XS.gguf GGUF IQ3_XS 3.12 GB Download
ABEJA-Qwen2.5-7b-Japanese-v0.1-IQ3_XXS.gguf GGUF IQ3_XXS 2.90 GB Download
ABEJA-Qwen2.5-7b-Japanese-v0.1-IQ4_NL.gguf GGUF IQ4_NL 4.13 GB Download
ABEJA-Qwen2.5-7b-Japanese-v0.1-IQ4_XS.gguf GGUF IQ4_XS 3.93 GB Download
ABEJA-Qwen2.5-7b-Japanese-v0.1-Q2_K.gguf GGUF Q2_K 2.81 GB Download
ABEJA-Qwen2.5-7b-Japanese-v0.1-Q3_K_L.gguf GGUF Q3_K_L 3.81 GB Download
ABEJA-Qwen2.5-7b-Japanese-v0.1-Q3_K_M.gguf GGUF Q3_K_M 3.55 GB Download
ABEJA-Qwen2.5-7b-Japanese-v0.1-Q3_K_S.gguf GGUF Q3_K_S 3.25 GB Download
ABEJA-Qwen2.5-7b-Japanese-v0.1-Q4_0.gguf GGUF 4.13 GB Download
ABEJA-Qwen2.5-7b-Japanese-v0.1-Q4_K_M.gguf GGUF Q4_K_M 4.36 GB Download
ABEJA-Qwen2.5-7b-Japanese-v0.1-Q4_K_S.gguf GGUF Q4_K_S 4.15 GB Download
ABEJA-Qwen2.5-7b-Japanese-v0.1-Q5_0.gguf GGUF 4.95 GB Download
ABEJA-Qwen2.5-7b-Japanese-v0.1-Q5_K_M.gguf GGUF Q5_K_M 5.07 GB Download
ABEJA-Qwen2.5-7b-Japanese-v0.1-Q5_K_S.gguf GGUF Q5_K_S 4.95 GB Download
ABEJA-Qwen2.5-7b-Japanese-v0.1-Q6_K.gguf GGUF Q6_K 5.82 GB Download
ABEJA-Qwen2.5-7b-Japanese-v0.1-Q8_0.gguf GGUF 7.54 GB Download

Model Details Live

Model Slug
mmnga/abeja-qwen2.5-7b-japanese-v0.1-gguf
Author
mmnga
Pipeline Task
Library
Created
2025-04-17
Last Modified
2025-04-17
Gated
No
Private
No
HF SHA
e9edf6f2d3a4890dac56d6dde158e388f7d2690c
License
Unknown
Language
Unknown
Base Model
Unknown

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "license": "apache-2.0",
    "language": [
      "en",
      "ja"
    ],
    "datasets": [
      "TFMC/imatrix-dataset-for-japanese-llm"
    ],
    "base_model": [
      "abeja/ABEJA-Qwen2.5-7b-Japanese-v0.1"
    ],
    "frontmatter": {},
    "hero_image_url": "",
    "summary": "abejaさんが公開しているABEJA-Qwen2.5-7b-Japanese-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。",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "\n---\nlicense: apache-2.0\nlanguage:\n- en\n- ja\ndatasets:\n- TFMC/imatrix-dataset-for-japanese-llm\nbase_model:\n- abeja/ABEJA-Qwen2.5-7b-Japanese-v0.1\n---\n\n# ABEJA-Qwen2.5-7b-Japanese-v0.1-gguf\n[abejaさんが公開しているABEJA-Qwen2.5-7b-Japanese-v0.1](https://huggingface.co/abeja/ABEJA-Qwen2.5-7b-Japanese-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## Usage\n\n```\ngit clone https://github.com/ggml-org/llama.cpp.git\ncd llama.cpp\ncmake -B build -DGGML_CUDA=ON\ncmake --build build --config Release\nbuild/bin/llama-cli -m 'ABEJA-Qwen2.5-7b-Japanese-v0.1-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",
    "base_model:abeja/ABEJA-Qwen2.5-7b-Japanese-v0.1",
    "base_model:quantized:abeja/ABEJA-Qwen2.5-7b-Japanese-v0.1",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "imatrix",
    "conversational"
  ],
  "likes": 3,
  "downloads": 233,
  "gated": false,
  "private": false,
  "last_modified": "2025-04-17T14:10:37.000Z",
  "created_at": "2025-04-17T12:18:38.000Z",
  "pipeline_tag": "",
  "library_name": ""
}
Source payload excerpt (from Hugging Face API)
{
  "_id": "6800f19e14e0b9b1d48ed8cf",
  "id": "mmnga/ABEJA-Qwen2.5-7b-Japanese-v0.1-gguf",
  "modelId": "mmnga/ABEJA-Qwen2.5-7b-Japanese-v0.1-gguf",
  "sha": "e9edf6f2d3a4890dac56d6dde158e388f7d2690c",
  "createdAt": "2025-04-17T12:18:38.000Z",
  "lastModified": "2025-04-17T14:10:37.000Z",
  "author": "mmnga",
  "downloads": 233,
  "likes": 3,
  "gated": false,
  "private": false,
  "pipeline_tag": "",
  "library_name": "",
  "siblings_count": 26
}