mmnga/pfnet-nekomata-14b-pfn-qfin-gguf IQ3_XS 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/pfnet-nekomata-14b-pfn-qfin-gguf overview
pfnet-nekomata-14b-pfn-qfin-gguf pfnetさんが公開しているnekomata-14b-pfn-qfin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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Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| pfnet-nekomata-14b-pfn-qfin-IQ1_M.gguf | GGUF | IQ1_M | 4.25 GB | Download |
| pfnet-nekomata-14b-pfn-qfin-IQ1_S.gguf | GGUF | IQ1_S | 4.06 GB | Download |
| pfnet-nekomata-14b-pfn-qfin-IQ2_M.gguf | GGUF | IQ2_M | 5.32 GB | Download |
| pfnet-nekomata-14b-pfn-qfin-IQ2_S.gguf | GGUF | IQ2_S | 5.07 GB | Download |
| pfnet-nekomata-14b-pfn-qfin-IQ2_XS.gguf | GGUF | IQ2_XS | 4.85 GB | Download |
| pfnet-nekomata-14b-pfn-qfin-IQ2_XXS.gguf | GGUF | IQ2_XXS | 4.57 GB | Download |
| pfnet-nekomata-14b-pfn-qfin-IQ3_M.gguf | GGUF | IQ3_M | 6.87 GB | Download |
| pfnet-nekomata-14b-pfn-qfin-IQ3_S.gguf | GGUF | IQ3_S | 6.31 GB | Download |
| pfnet-nekomata-14b-pfn-qfin-IQ3_XS.gguf | GGUF | IQ3_XS | 6.12 GB | Download |
| pfnet-nekomata-14b-pfn-qfin-IQ3_XXS.gguf | GGUF | IQ3_XXS | 5.83 GB | Download |
| pfnet-nekomata-14b-pfn-qfin-IQ4_NL.gguf | GGUF | IQ4_NL | 7.62 GB | Download |
| pfnet-nekomata-14b-pfn-qfin-IQ4_XS.gguf | GGUF | IQ4_XS | 7.31 GB | Download |
| pfnet-nekomata-14b-pfn-qfin-Q2_K.gguf | GGUF | Q2_K | 5.41 GB | Download |
| pfnet-nekomata-14b-pfn-qfin-Q3_K_L.gguf | GGUF | Q3_K_L | 7.44 GB | Download |
| pfnet-nekomata-14b-pfn-qfin-Q3_K_M.gguf | GGUF | Q3_K_M | 7.16 GB | Download |
| pfnet-nekomata-14b-pfn-qfin-Q3_K_S.gguf | GGUF | Q3_K_S | 6.31 GB | Download |
| pfnet-nekomata-14b-pfn-qfin-Q4_0.gguf | GGUF | — | 7.62 GB | Download |
| pfnet-nekomata-14b-pfn-qfin-Q4_K_M.gguf | GGUF | Q4_K_M | 8.80 GB | Download |
| pfnet-nekomata-14b-pfn-qfin-Q4_K_S.gguf | GGUF | Q4_K_S | 7.96 GB | Download |
| pfnet-nekomata-14b-pfn-qfin-Q5_0.gguf | GGUF | — | 9.18 GB | Download |
| pfnet-nekomata-14b-pfn-qfin-Q5_K_M.gguf | GGUF | Q5_K_M | 10.14 GB | Download |
| pfnet-nekomata-14b-pfn-qfin-Q5_K_S.gguf | GGUF | Q5_K_S | 9.34 GB | Download |
| pfnet-nekomata-14b-pfn-qfin-Q6_K.gguf | GGUF | Q6_K | 11.46 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"license": "other",
"license_name": "tongyi-qianwen",
"license_link": "https://huggingface.co/pfnet/nekomata-14b-pfn-qfin/blob/main/LICENSE",
"language": [
"en",
"ja"
],
"tags": [
"qwen"
],
"datasets": [
"TFMC/imatrix-dataset-for-japanese-llm"
],
"frontmatter": {
"license": "other",
"license_name": "tongyi-qianwen",
"license_link": "https://huggingface.co/pfnet/nekomata-14b-pfn-qfin/blob/main/LICENSE",
"language": [
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"ja"
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"tags": [
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],
"datasets": [
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]
},
"hero_image_url": "",
"summary": "# pfnet-nekomata-14b-pfn-qfin-gguf pfnetさんが公開しているnekomata-14b-pfn-qfin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: other\nlicense_name: tongyi-qianwen\nlicense_link: https://huggingface.co/pfnet/nekomata-14b-pfn-qfin/blob/main/LICENSE\nlanguage:\n- en\n- ja\ntags:\n- qwen\ndatasets:\n- TFMC/imatrix-dataset-for-japanese-llm\n---\n# pfnet-nekomata-14b-pfn-qfin-gguf \n[pfnetさんが公開しているnekomata-14b-pfn-qfin](https://huggingface.co/pfnet/nekomata-14b-pfn-qfin)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を使用して作成しました。\n\n\n## ライセンス\ntongyi-qianwenライセンスになります。 \n[ご使用前にライセンスをご確認ください](https://huggingface.co/pfnet/nekomata-14b-pfn-qfin/blob/main/LICENSE)\n\n## 他のモデル\n[mmnga/pfnet-nekomata-14b-pfn-qfin-gguf](https://huggingface.co/mmnga/pfnet-nekomata-14b-pfn-qfin-gguf) \n[mmnga/pfnet-nekomata-14b-pfn-qfin-inst-merge-gguf](https://huggingface.co/mmnga/pfnet-nekomata-14b-pfn-qfin-inst-merge-gguf) \n\n\n## Usage\n\n```\ngit clone https://github.com/ggerganov/llama.cpp.git\ncd llama.cpp\nmake -j\n./main -m 'pfnet-nekomata-14b-pfn-qfin-q4_0.gguf' -n 128 --temp 0.5 -p '### 指示:次の日本語を英語に翻訳してください。\\n\\n### 入力: 大規模言語モデル(だいきぼげんごモデル、英: large language model、LLM)は、多数のパラメータ(数千万から数十億)を持つ人工ニューラルネットワークで構成されるコンピュータ言語モデルで、膨大なラベルなしテキストを使用して自己教師あり学習または半教師あり学習によって訓練が行われる。 \\n\\n### 応答:'\n```",
"related_quantizations": []
},
"tags": [
"gguf",
"qwen",
"en",
"ja",
"dataset:TFMC/imatrix-dataset-for-japanese-llm",
"license:other",
"endpoints_compatible",
"region:us"
],
"likes": 1,
"downloads": 96,
"gated": false,
"private": false,
"last_modified": "2024-04-24T14:46:15.000Z",
"created_at": "2024-04-24T12:58:09.000Z",
"pipeline_tag": "",
"library_name": ""
}
Source payload excerpt (from Hugging Face API)
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"id": "mmnga/pfnet-nekomata-14b-pfn-qfin-gguf",
"modelId": "mmnga/pfnet-nekomata-14b-pfn-qfin-gguf",
"sha": "648fd758efadf5665ba592c361853d48b66308c9",
"createdAt": "2024-04-24T12:58:09.000Z",
"lastModified": "2024-04-24T14:46:15.000Z",
"author": "mmnga",
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