mmnga/tokyotech-llm-llama-3.1-swallow-70b-instruct-v0.1-gguf IQ2_XXS 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/tokyotech-llm-llama-3.1-swallow-70b-instruct-v0.1-gguf overview
tokyotech-llmさんが公開しているLlama-3.1-Swallow-70B-Instruct-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。 # convert llama.cppで変換に失敗する場合は、こちらの修正してみてください。
Downloads
369
Likes
3
Pipeline
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Library
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Visibility
Public
Access
Open
Repository Files & Downloads
20 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| tokyotech-llm-Llama-3.1-Swallow-70B-Instruct-v0.1-IQ1_M.gguf | GGUF | IQ1_M | 15.60 GB | Download |
| tokyotech-llm-Llama-3.1-Swallow-70B-Instruct-v0.1-IQ1_S.gguf | GGUF | IQ1_S | 14.29 GB | Download |
| tokyotech-llm-Llama-3.1-Swallow-70B-Instruct-v0.1-IQ2_M.gguf | GGUF | IQ2_M | 22.46 GB | Download |
| tokyotech-llm-Llama-3.1-Swallow-70B-Instruct-v0.1-IQ2_S.gguf | GGUF | IQ2_S | 20.71 GB | Download |
| tokyotech-llm-Llama-3.1-Swallow-70B-Instruct-v0.1-IQ2_XS.gguf | GGUF | IQ2_XS | 19.69 GB | Download |
| tokyotech-llm-Llama-3.1-Swallow-70B-Instruct-v0.1-IQ2_XXS.gguf | GGUF | IQ2_XXS | 17.79 GB | Download |
| tokyotech-llm-Llama-3.1-Swallow-70B-Instruct-v0.1-IQ3_M.gguf | GGUF | IQ3_M | 29.74 GB | Download |
| tokyotech-llm-Llama-3.1-Swallow-70B-Instruct-v0.1-IQ3_S.gguf | GGUF | IQ3_S | 28.79 GB | Download |
| tokyotech-llm-Llama-3.1-Swallow-70B-Instruct-v0.1-IQ3_XS.gguf | GGUF | IQ3_XS | 27.29 GB | Download |
| tokyotech-llm-Llama-3.1-Swallow-70B-Instruct-v0.1-IQ3_XXS.gguf | GGUF | IQ3_XXS | 25.58 GB | Download |
| tokyotech-llm-Llama-3.1-Swallow-70B-Instruct-v0.1-IQ4_NL.gguf | GGUF | IQ4_NL | 37.30 GB | Download |
| tokyotech-llm-Llama-3.1-Swallow-70B-Instruct-v0.1-IQ4_XS.gguf | GGUF | IQ4_XS | 35.30 GB | Download |
| tokyotech-llm-Llama-3.1-Swallow-70B-Instruct-v0.1-Q2_K.gguf | GGUF | Q2_K | 24.56 GB | Download |
| tokyotech-llm-Llama-3.1-Swallow-70B-Instruct-v0.1-Q3_K_L.gguf | GGUF | Q3_K_L | 34.59 GB | Download |
| tokyotech-llm-Llama-3.1-Swallow-70B-Instruct-v0.1-Q3_K_M.gguf | GGUF | Q3_K_M | 31.91 GB | Download |
| tokyotech-llm-Llama-3.1-Swallow-70B-Instruct-v0.1-Q3_K_S.gguf | GGUF | Q3_K_S | 28.79 GB | Download |
| tokyotech-llm-Llama-3.1-Swallow-70B-Instruct-v0.1-Q4_0.gguf | GGUF | — | 37.22 GB | Download |
| tokyotech-llm-Llama-3.1-Swallow-70B-Instruct-v0.1-Q4_K_M.gguf | GGUF | Q4_K_M | 39.60 GB | Download |
| tokyotech-llm-Llama-3.1-Swallow-70B-Instruct-v0.1-Q4_K_S.gguf | GGUF | Q4_K_S | 37.58 GB | Download |
| tokyotech-llm-Llama-3.1-Swallow-70B-Instruct-v0.1-Q5_K_S.gguf | GGUF | Q5_K_S | 45.32 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"license": [
"llama3.1",
"gemma"
],
"language": [
"en",
"ja"
],
"datasets": [
"TFMC/imatrix-dataset-for-japanese-llm"
],
"frontmatter": {},
"hero_image_url": "",
"summary": "tokyotech-llmさんが公開しているLlama-3.1-Swallow-70B-Instruct-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。 # convert llama.cppで変換に失敗する場合は、こちらの修正してみてください。",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "\n---\nlicense:\n- llama3.1\n- gemma\nlanguage:\n- en\n- ja\ndatasets:\n- TFMC/imatrix-dataset-for-japanese-llm\n---\n\n# tokyotech-llm-Llama-3.1-Swallow-70B-Instruct-v0.1-gguf\n[tokyotech-llmさんが公開しているLlama-3.1-Swallow-70B-Instruct-v0.1](https://huggingface.co/tokyotech-llm/Llama-3.1-Swallow-70B-Instruct-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# convert\nllama.cppで変換に失敗する場合は、[こちらの修正](https://github.com/ggerganov/llama.cpp/pull/9807/files)してみてください。\n \n## Usage\n\n```\ngit clone https://github.com/ggerganov/llama.cpp.git\ncd llama.cpp\nmake -j\n./llama-cli -m 'tokyotech-llm-Llama-3.1-Swallow-70B-Instruct-v0.1-Q4_0.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:llama3.1",
"license:gemma",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
],
"likes": 3,
"downloads": 369,
"gated": false,
"private": false,
"last_modified": "2024-10-10T09:34:20.000Z",
"created_at": "2024-10-10T01:38:48.000Z",
"pipeline_tag": "",
"library_name": ""
}
Source payload excerpt (from Hugging Face API)
{
"_id": "6707302810cecf0ee8e99293",
"id": "mmnga/tokyotech-llm-Llama-3.1-Swallow-70B-Instruct-v0.1-gguf",
"modelId": "mmnga/tokyotech-llm-Llama-3.1-Swallow-70B-Instruct-v0.1-gguf",
"sha": "ecb7ae63620e4e7708ec4fc5f7effb69abb9eb13",
"createdAt": "2024-10-10T01:38:48.000Z",
"lastModified": "2024-10-10T09:34:20.000Z",
"author": "mmnga",
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"siblings_count": 26
}