mmnga/cyberagent-mistral-nemo-japanese-instruct-2408-gguf Q8_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.
Model Intelligence Sheet
mmnga/cyberagent-mistral-nemo-japanese-instruct-2408-gguf overview
cyberagentさんが公開しているMistral-Nemo-Japanese-Instruct-2408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。
Downloads
305
Likes
4
Pipeline
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Library
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Visibility
Public
Access
Open
Repository Files & Downloads
24 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| cyberagent-Mistral-Nemo-Japanese-Instruct-2408-IQ1_M.gguf | GGUF | IQ1_M | 3.00 GB | Download |
| cyberagent-Mistral-Nemo-Japanese-Instruct-2408-IQ1_S.gguf | GGUF | IQ1_S | 2.79 GB | Download |
| cyberagent-Mistral-Nemo-Japanese-Instruct-2408-IQ2_M.gguf | GGUF | IQ2_M | 4.13 GB | Download |
| cyberagent-Mistral-Nemo-Japanese-Instruct-2408-IQ2_S.gguf | GGUF | IQ2_S | 3.85 GB | Download |
| cyberagent-Mistral-Nemo-Japanese-Instruct-2408-IQ2_XS.gguf | GGUF | IQ2_XS | 3.65 GB | Download |
| cyberagent-Mistral-Nemo-Japanese-Instruct-2408-IQ2_XXS.gguf | GGUF | IQ2_XXS | 3.35 GB | Download |
| cyberagent-Mistral-Nemo-Japanese-Instruct-2408-IQ3_M.gguf | GGUF | IQ3_M | 5.33 GB | Download |
| cyberagent-Mistral-Nemo-Japanese-Instruct-2408-IQ3_S.gguf | GGUF | IQ3_S | 5.18 GB | Download |
| cyberagent-Mistral-Nemo-Japanese-Instruct-2408-IQ3_XS.gguf | GGUF | IQ3_XS | 4.94 GB | Download |
| cyberagent-Mistral-Nemo-Japanese-Instruct-2408-IQ3_XXS.gguf | GGUF | IQ3_XXS | 4.61 GB | Download |
| cyberagent-Mistral-Nemo-Japanese-Instruct-2408-IQ4_NL.gguf | GGUF | IQ4_NL | 6.61 GB | Download |
| cyberagent-Mistral-Nemo-Japanese-Instruct-2408-IQ4_XS.gguf | GGUF | IQ4_XS | 6.28 GB | Download |
| cyberagent-Mistral-Nemo-Japanese-Instruct-2408-Q2_K.gguf | GGUF | Q2_K | 4.46 GB | Download |
| cyberagent-Mistral-Nemo-Japanese-Instruct-2408-Q3_K_L.gguf | GGUF | Q3_K_L | 6.11 GB | Download |
| cyberagent-Mistral-Nemo-Japanese-Instruct-2408-Q3_K_M.gguf | GGUF | Q3_K_M | 5.67 GB | Download |
| cyberagent-Mistral-Nemo-Japanese-Instruct-2408-Q3_K_S.gguf | GGUF | Q3_K_S | 5.15 GB | Download |
| cyberagent-Mistral-Nemo-Japanese-Instruct-2408-Q4_0.gguf | GGUF | — | 6.59 GB | Download |
| cyberagent-Mistral-Nemo-Japanese-Instruct-2408-Q4_K_M.gguf | GGUF | Q4_K_M | 6.96 GB | Download |
| cyberagent-Mistral-Nemo-Japanese-Instruct-2408-Q4_K_S.gguf | GGUF | Q4_K_S | 6.63 GB | Download |
| cyberagent-Mistral-Nemo-Japanese-Instruct-2408-Q5_0.gguf | GGUF | — | 7.93 GB | Download |
| cyberagent-Mistral-Nemo-Japanese-Instruct-2408-Q5_K_M.gguf | GGUF | Q5_K_M | 8.13 GB | Download |
| cyberagent-Mistral-Nemo-Japanese-Instruct-2408-Q5_K_S.gguf | GGUF | Q5_K_S | 7.93 GB | Download |
| cyberagent-Mistral-Nemo-Japanese-Instruct-2408-Q6_K.gguf | GGUF | Q6_K | 9.37 GB | Download |
| cyberagent-Mistral-Nemo-Japanese-Instruct-2408-Q8_0.gguf | GGUF | — | 12.13 GB | Download |
Model Details Live
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": [
"cyberagent/cyberagent-Mistral-Nemo-Japanese-Instruct-2408"
],
"frontmatter": {},
"hero_image_url": "",
"summary": "cyberagentさんが公開しているMistral-Nemo-Japanese-Instruct-2408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- cyberagent/cyberagent-Mistral-Nemo-Japanese-Instruct-2408\n---\n\n# cyberagent-Mistral-Nemo-Japanese-Instruct-2408-gguf\n[cyberagentさんが公開しているMistral-Nemo-Japanese-Instruct-2408](https://huggingface.co/cyberagent/Mistral-Nemo-Japanese-Instruct-2408)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/ggerganov/llama.cpp.git\ncd llama.cpp\ncmake -B build -DGGML_CUDA=ON\ncmake --build build --config Release\nbuild/bin/llama-cli -m 'cyberagent-Mistral-Nemo-Japanese-Instruct-2408-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:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
],
"likes": 4,
"downloads": 305,
"gated": false,
"private": false,
"last_modified": "2025-01-27T12:36:56.000Z",
"created_at": "2025-01-25T12:37:13.000Z",
"pipeline_tag": "",
"library_name": ""
}
Source payload excerpt (from Hugging Face API)
{
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"id": "mmnga/cyberagent-Mistral-Nemo-Japanese-Instruct-2408-gguf",
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"sha": "0bd1756e730acbbba59f01dc6b3adb57a29742a5",
"createdAt": "2025-01-25T12:37:13.000Z",
"lastModified": "2025-01-27T12:36:56.000Z",
"author": "mmnga",
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"siblings_count": 26
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