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mmnga/gemma-2-llama-swallow-9b-it-v0.1-gguf IQ4_NL 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/gemma-2-llama-swallow-9b-it-v0.1-gguf overview

tokyotech-llmさんが公開しているGemma-2-Llama-Swallow-9b-it-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:tokyotech-llm/Gemma-2-Llama-Swallow-9b-it-v0.1base_model:quantized:tokyotech-llm/Gemma-2-Llama-Swallow-9b-it-v0.1license:gemmalicense:llama3.3endpoints_compatibleregion:usimatrixconversational
mmnga/gemma-2-llama-swallow-9b-it-v0.1-gguf visual
Downloads
260
Likes
1
Pipeline
Library
Visibility
Public
Access
Open

Repository Files & Downloads

19 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
Gemma-2-Llama-Swallow-9b-it-v0.1-IQ2_M.gguf GGUF IQ2_M 3.20 GB Download
Gemma-2-Llama-Swallow-9b-it-v0.1-IQ3_M.gguf GGUF IQ3_M 4.19 GB Download
Gemma-2-Llama-Swallow-9b-it-v0.1-IQ3_S.gguf GGUF IQ3_S 4.04 GB Download
Gemma-2-Llama-Swallow-9b-it-v0.1-IQ3_XS.gguf GGUF IQ3_XS 3.86 GB Download
Gemma-2-Llama-Swallow-9b-it-v0.1-IQ3_XXS.gguf GGUF IQ3_XXS 3.54 GB Download
Gemma-2-Llama-Swallow-9b-it-v0.1-IQ4_NL.gguf GGUF IQ4_NL 5.07 GB Download
Gemma-2-Llama-Swallow-9b-it-v0.1-IQ4_XS.gguf GGUF IQ4_XS 4.83 GB Download
Gemma-2-Llama-Swallow-9b-it-v0.1-Q2_K.gguf GGUF Q2_K 3.54 GB Download
Gemma-2-Llama-Swallow-9b-it-v0.1-Q3_K_L.gguf GGUF Q3_K_L 4.78 GB Download
Gemma-2-Llama-Swallow-9b-it-v0.1-Q3_K_M.gguf GGUF Q3_K_M 4.43 GB Download
Gemma-2-Llama-Swallow-9b-it-v0.1-Q3_K_S.gguf GGUF Q3_K_S 4.04 GB Download
Gemma-2-Llama-Swallow-9b-it-v0.1-Q4_0.gguf GGUF 5.07 GB Download
Gemma-2-Llama-Swallow-9b-it-v0.1-Q4_K_M.gguf GGUF Q4_K_M 5.37 GB Download
Gemma-2-Llama-Swallow-9b-it-v0.1-Q4_K_S.gguf GGUF Q4_K_S 5.10 GB Download
Gemma-2-Llama-Swallow-9b-it-v0.1-Q5_0.gguf GGUF 6.04 GB Download
Gemma-2-Llama-Swallow-9b-it-v0.1-Q5_K_M.gguf GGUF Q5_K_M 6.19 GB Download
Gemma-2-Llama-Swallow-9b-it-v0.1-Q5_K_S.gguf GGUF Q5_K_S 6.04 GB Download
Gemma-2-Llama-Swallow-9b-it-v0.1-Q6_K.gguf GGUF Q6_K 7.07 GB Download
Gemma-2-Llama-Swallow-9b-it-v0.1-Q8_0.gguf GGUF 9.15 GB Download

Model Details Live

Model Slug
mmnga/gemma-2-llama-swallow-9b-it-v0.1-gguf
Author
mmnga
Pipeline Task
Library
Created
2025-05-19
Last Modified
2025-05-19
Gated
No
Private
No
HF SHA
edc96cbb8afb3d83340e83b8640e75dd13761f6e
License
Unknown
Language
Unknown
Base Model
Unknown

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "license": [
      "gemma",
      "llama3.3"
    ],
    "language": [
      "en",
      "ja"
    ],
    "datasets": [
      "TFMC/imatrix-dataset-for-japanese-llm"
    ],
    "base_model": [
      "tokyotech-llm/Gemma-2-Llama-Swallow-9b-it-v0.1"
    ],
    "frontmatter": {},
    "hero_image_url": "",
    "summary": "tokyotech-llmさんが公開しているGemma-2-Llama-Swallow-9b-it-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: \n - gemma\n - llama3.3\nlanguage:\n- en\n- ja\ndatasets:\n- TFMC/imatrix-dataset-for-japanese-llm\nbase_model:\n- tokyotech-llm/Gemma-2-Llama-Swallow-9b-it-v0.1\n---\n\n# Gemma-2-Llama-Swallow-9b-it-v0.1-gguf\n[tokyotech-llmさんが公開しているGemma-2-Llama-Swallow-9b-it-v0.1](https://huggingface.co/tokyotech-llm/Gemma-2-Llama-Swallow-9b-it-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 'Gemma-2-Llama-Swallow-9b-it-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:tokyotech-llm/Gemma-2-Llama-Swallow-9b-it-v0.1",
    "base_model:quantized:tokyotech-llm/Gemma-2-Llama-Swallow-9b-it-v0.1",
    "license:gemma",
    "license:llama3.3",
    "endpoints_compatible",
    "region:us",
    "imatrix",
    "conversational"
  ],
  "likes": 1,
  "downloads": 260,
  "gated": false,
  "private": false,
  "last_modified": "2025-05-19T14:52:08.000Z",
  "created_at": "2025-05-19T12:52:17.000Z",
  "pipeline_tag": "",
  "library_name": ""
}
Source payload excerpt (from Hugging Face API)
{
  "_id": "682b298153986de7866facc1",
  "id": "mmnga/Gemma-2-Llama-Swallow-9b-it-v0.1-gguf",
  "modelId": "mmnga/Gemma-2-Llama-Swallow-9b-it-v0.1-gguf",
  "sha": "edc96cbb8afb3d83340e83b8640e75dd13761f6e",
  "createdAt": "2025-05-19T12:52:17.000Z",
  "lastModified": "2025-05-19T14:52:08.000Z",
  "author": "mmnga",
  "downloads": 260,
  "likes": 1,
  "gated": false,
  "private": false,
  "pipeline_tag": "",
  "library_name": "",
  "siblings_count": 21
}