mmnga/ryota39-phi-3-mini-4k-instruct-dpo-gguf Q5_K_S 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/ryota39-phi-3-mini-4k-instruct-dpo-gguf overview
ryota39-Phi-3-mini-4k-instruct-dpo-gguf ryota39さんが公開しているPhi-3-mini-4k-instruct-dpo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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Repository Files & Downloads
24 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| ryota39-Phi-3-mini-4k-instruct-dpo-IQ1_M.gguf | GGUF | IQ1_M | 874.62 MB | Download |
| ryota39-Phi-3-mini-4k-instruct-dpo-IQ1_S.gguf | GGUF | IQ1_S | 802.62 MB | Download |
| ryota39-Phi-3-mini-4k-instruct-dpo-IQ2_M.gguf | GGUF | IQ2_M | 1.23 GB | Download |
| ryota39-Phi-3-mini-4k-instruct-dpo-IQ2_S.gguf | GGUF | IQ2_S | 1.13 GB | Download |
| ryota39-Phi-3-mini-4k-instruct-dpo-IQ2_XS.gguf | GGUF | IQ2_XS | 1.07 GB | Download |
| ryota39-Phi-3-mini-4k-instruct-dpo-IQ2_XXS.gguf | GGUF | IQ2_XXS | 994.62 MB | Download |
| ryota39-Phi-3-mini-4k-instruct-dpo-IQ3_M.gguf | GGUF | IQ3_M | 1.73 GB | Download |
| ryota39-Phi-3-mini-4k-instruct-dpo-IQ3_S.gguf | GGUF | IQ3_S | 1.57 GB | Download |
| ryota39-Phi-3-mini-4k-instruct-dpo-IQ3_XS.gguf | GGUF | IQ3_XS | 1.51 GB | Download |
| ryota39-Phi-3-mini-4k-instruct-dpo-IQ3_XXS.gguf | GGUF | IQ3_XXS | 1.41 GB | Download |
| ryota39-Phi-3-mini-4k-instruct-dpo-IQ4_NL.gguf | GGUF | IQ4_NL | 2.03 GB | Download |
| ryota39-Phi-3-mini-4k-instruct-dpo-IQ4_XS.gguf | GGUF | IQ4_XS | 1.92 GB | Download |
| ryota39-Phi-3-mini-4k-instruct-dpo-Q2_K.gguf | GGUF | Q2_K | 1.32 GB | Download |
| ryota39-Phi-3-mini-4k-instruct-dpo-Q3_K_L.gguf | GGUF | Q3_K_L | 1.94 GB | Download |
| ryota39-Phi-3-mini-4k-instruct-dpo-Q3_K_M.gguf | GGUF | Q3_K_M | 1.82 GB | Download |
| ryota39-Phi-3-mini-4k-instruct-dpo-Q3_K_S.gguf | GGUF | Q3_K_S | 1.57 GB | Download |
| ryota39-Phi-3-mini-4k-instruct-dpo-Q4_0.gguf | GGUF | — | 2.03 GB | Download |
| ryota39-Phi-3-mini-4k-instruct-dpo-Q4_K_M.gguf | GGUF | Q4_K_M | 2.23 GB | Download |
| ryota39-Phi-3-mini-4k-instruct-dpo-Q4_K_S.gguf | GGUF | Q4_K_S | 2.04 GB | Download |
| ryota39-Phi-3-mini-4k-instruct-dpo-Q5_0.gguf | GGUF | — | 2.46 GB | Download |
| ryota39-Phi-3-mini-4k-instruct-dpo-Q5_K_M.gguf | GGUF | Q5_K_M | 2.62 GB | Download |
| ryota39-Phi-3-mini-4k-instruct-dpo-Q5_K_S.gguf | GGUF | Q5_K_S | 2.46 GB | Download |
| ryota39-Phi-3-mini-4k-instruct-dpo-Q6_K.gguf | GGUF | Q6_K | 2.92 GB | Download |
| ryota39-Phi-3-mini-4k-instruct-dpo-Q8_0.gguf | GGUF | — | 3.78 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"
],
"frontmatter": {
"license": "mit",
"language": [
"en",
"ja"
],
"datasets": [
"TFMC/imatrix-dataset-for-japanese-llm"
]
},
"hero_image_url": "",
"summary": "# ryota39-Phi-3-mini-4k-instruct-dpo-gguf ryota39さんが公開しているPhi-3-mini-4k-instruct-dpo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": "---\nlicense: mit\nlanguage:\n- en\n- ja\ndatasets:\n- TFMC/imatrix-dataset-for-japanese-llm\n---\n# ryota39-Phi-3-mini-4k-instruct-dpo-gguf \n[ryota39さんが公開しているPhi-3-mini-4k-instruct-dpo](https://huggingface.co/ryota39/Phi-3-mini-4k-instruct-dpo)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\n## Usage\n\n```\ngit clone https://github.com/ggerganov/llama.cpp.git\ncd llama.cpp\nmake -j\n./main -m 'ryota39-Phi-3-mini-4k-instruct-dpo-Q4_0.gguf' -p \"<|user|>\\n今晩の夕食のレシピを教えて<|end>\\n<|assistant|>\\n\" -n 128\n```",
"related_quantizations": []
},
"tags": [
"gguf",
"en",
"ja",
"dataset:TFMC/imatrix-dataset-for-japanese-llm",
"license:mit",
"endpoints_compatible",
"region:us",
"conversational"
],
"likes": 0,
"downloads": 192,
"gated": false,
"private": false,
"last_modified": "2024-04-29T16:53:45.000Z",
"created_at": "2024-04-29T14:27:25.000Z",
"pipeline_tag": "",
"library_name": ""
}
Source payload excerpt (from Hugging Face API)
{
"_id": "662fae4d0e54acad9c7ad86f",
"id": "mmnga/ryota39-Phi-3-mini-4k-instruct-dpo-gguf",
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"sha": "beb283361b177ed0147079890991b60ea6d3aafd",
"createdAt": "2024-04-29T14:27:25.000Z",
"lastModified": "2024-04-29T16:53:45.000Z",
"author": "mmnga",
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"siblings_count": 26
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