mmnga/gemma-2-llama-swallow-9b-it-v0.1-gguf Q4_0 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.
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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。
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260
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1
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Visibility
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Repository Files & Downloads
19 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| 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
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,
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"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)
{
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"id": "mmnga/Gemma-2-Llama-Swallow-9b-it-v0.1-gguf",
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"sha": "edc96cbb8afb3d83340e83b8640e75dd13761f6e",
"createdAt": "2025-05-19T12:52:17.000Z",
"lastModified": "2025-05-19T14:52:08.000Z",
"author": "mmnga",
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}