mmnga/lightblue-deepseek-r1-distill-qwen-7b-japanese-gguf Q4_K_M 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/lightblue-deepseek-r1-distill-qwen-7b-japanese-gguf overview
lightblueさんが公開しているDeepSeek-R1-Distill-Qwen-7B-Japanese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
120
Likes
6
Pipeline
—
Library
—
Visibility
Public
Access
Open
Repository Files & Downloads
24 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| lightblue-DeepSeek-R1-Distill-Qwen-7B-Japanese-IQ1_M.gguf | GGUF | IQ1_M | 1.90 GB | Download |
| lightblue-DeepSeek-R1-Distill-Qwen-7B-Japanese-IQ1_S.gguf | GGUF | IQ1_S | 1.77 GB | Download |
| lightblue-DeepSeek-R1-Distill-Qwen-7B-Japanese-IQ2_M.gguf | GGUF | IQ2_M | 2.59 GB | Download |
| lightblue-DeepSeek-R1-Distill-Qwen-7B-Japanese-IQ2_S.gguf | GGUF | IQ2_S | 2.42 GB | Download |
| lightblue-DeepSeek-R1-Distill-Qwen-7B-Japanese-IQ2_XS.gguf | GGUF | IQ2_XS | 2.30 GB | Download |
| lightblue-DeepSeek-R1-Distill-Qwen-7B-Japanese-IQ2_XXS.gguf | GGUF | IQ2_XXS | 2.12 GB | Download |
| lightblue-DeepSeek-R1-Distill-Qwen-7B-Japanese-IQ3_M.gguf | GGUF | IQ3_M | 3.33 GB | Download |
| lightblue-DeepSeek-R1-Distill-Qwen-7B-Japanese-IQ3_S.gguf | GGUF | IQ3_S | 3.26 GB | Download |
| lightblue-DeepSeek-R1-Distill-Qwen-7B-Japanese-IQ3_XS.gguf | GGUF | IQ3_XS | 3.12 GB | Download |
| lightblue-DeepSeek-R1-Distill-Qwen-7B-Japanese-IQ3_XXS.gguf | GGUF | IQ3_XXS | 2.90 GB | Download |
| lightblue-DeepSeek-R1-Distill-Qwen-7B-Japanese-IQ4_NL.gguf | GGUF | IQ4_NL | 4.13 GB | Download |
| lightblue-DeepSeek-R1-Distill-Qwen-7B-Japanese-IQ4_XS.gguf | GGUF | IQ4_XS | 3.93 GB | Download |
| lightblue-DeepSeek-R1-Distill-Qwen-7B-Japanese-Q2_K.gguf | GGUF | Q2_K | 2.81 GB | Download |
| lightblue-DeepSeek-R1-Distill-Qwen-7B-Japanese-Q3_K_L.gguf | GGUF | Q3_K_L | 3.81 GB | Download |
| lightblue-DeepSeek-R1-Distill-Qwen-7B-Japanese-Q3_K_M.gguf | GGUF | Q3_K_M | 3.55 GB | Download |
| lightblue-DeepSeek-R1-Distill-Qwen-7B-Japanese-Q3_K_S.gguf | GGUF | Q3_K_S | 3.25 GB | Download |
| lightblue-DeepSeek-R1-Distill-Qwen-7B-Japanese-Q4_0.gguf | GGUF | — | 4.13 GB | Download |
| lightblue-DeepSeek-R1-Distill-Qwen-7B-Japanese-Q4_K_M.gguf | GGUF | Q4_K_M | 4.36 GB | Download |
| lightblue-DeepSeek-R1-Distill-Qwen-7B-Japanese-Q4_K_S.gguf | GGUF | Q4_K_S | 4.15 GB | Download |
| lightblue-DeepSeek-R1-Distill-Qwen-7B-Japanese-Q5_0.gguf | GGUF | — | 4.95 GB | Download |
| lightblue-DeepSeek-R1-Distill-Qwen-7B-Japanese-Q5_K_M.gguf | GGUF | Q5_K_M | 5.07 GB | Download |
| lightblue-DeepSeek-R1-Distill-Qwen-7B-Japanese-Q5_K_S.gguf | GGUF | Q5_K_S | 4.95 GB | Download |
| lightblue-DeepSeek-R1-Distill-Qwen-7B-Japanese-Q6_K.gguf | GGUF | Q6_K | 5.82 GB | Download |
| lightblue-DeepSeek-R1-Distill-Qwen-7B-Japanese-Q8_0.gguf | GGUF | — | 7.54 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"license": "mit",
"language": [
"en",
"ja"
],
"datasets": [
"TFMC/imatrix-dataset-for-japanese-llm"
],
"base_model": [
"lightblue/lightblue-DeepSeek-R1-Distill-Qwen-7B-Japanese"
],
"frontmatter": {},
"hero_image_url": "",
"summary": "lightblueさんが公開しているDeepSeek-R1-Distill-Qwen-7B-Japanese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: mit\nlanguage:\n- en\n- ja\ndatasets:\n- TFMC/imatrix-dataset-for-japanese-llm\nbase_model:\n- lightblue/lightblue-DeepSeek-R1-Distill-Qwen-7B-Japanese\n---\n\n# lightblue-DeepSeek-R1-Distill-Qwen-7B-Japanese-gguf\n[lightblueさんが公開しているDeepSeek-R1-Distill-Qwen-7B-Japanese](https://huggingface.co/lightblue/DeepSeek-R1-Distill-Qwen-7B-Japanese)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 'lightblue-DeepSeek-R1-Distill-Qwen-7B-Japanese-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:mit",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
],
"likes": 6,
"downloads": 120,
"gated": false,
"private": false,
"last_modified": "2025-01-29T10:57:18.000Z",
"created_at": "2025-01-29T09:31:13.000Z",
"pipeline_tag": "",
"library_name": ""
}
Source payload excerpt (from Hugging Face API)
{
"_id": "6799f5614e26e4e4a1a36433",
"id": "mmnga/lightblue-DeepSeek-R1-Distill-Qwen-7B-Japanese-gguf",
"modelId": "mmnga/lightblue-DeepSeek-R1-Distill-Qwen-7B-Japanese-gguf",
"sha": "d5a63bd4cb76aec396fad7602a72352cc02e6006",
"createdAt": "2025-01-29T09:31:13.000Z",
"lastModified": "2025-01-29T10:57:18.000Z",
"author": "mmnga",
"downloads": 120,
"likes": 6,
"gated": false,
"private": false,
"pipeline_tag": "",
"library_name": "",
"siblings_count": 26
}