Model Intelligence Sheet
quant-cartel/magnum-72b-v1-imat-gguf overview
Downloads
116
Likes
3
Pipeline
—
Library
—
Visibility
Public
Access
Open
Repository Files & Downloads
22 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| magnum-72b-v1-iMat-IQ1_M.gguf | GGUF | IQ1_M | 22.11 GB | Download |
| magnum-72b-v1-iMat-IQ1_S.gguf | GGUF | IQ1_S | 21.13 GB | Download |
| magnum-72b-v1-iMat-IQ2_S.gguf | GGUF | IQ2_S | 26.02 GB | Download |
| magnum-72b-v1-iMat-IQ2_XS.gguf | GGUF | IQ2_XS | 25.20 GB | Download |
| magnum-72b-v1-iMat-IQ2_XXS.gguf | GGUF | IQ2_XXS | 23.74 GB | Download |
| magnum-72b-v1-iMat-IQ3_M.gguf | GGUF | IQ3_M | 33.07 GB | Download |
| magnum-72b-v1-iMat-IQ3_S.gguf | GGUF | IQ3_S | 32.12 GB | Download |
| magnum-72b-v1-iMat-IQ3_XS.gguf | GGUF | IQ3_XS | 30.59 GB | Download |
| magnum-72b-v1-iMat-IQ3_XXS.gguf | GGUF | IQ3_XXS | 29.66 GB | Download |
| magnum-72b-v1-iMat-IQ4_XS.gguf | GGUF | IQ4_XS | 36.98 GB | Download |
| magnum-72b-v1-iMat-Q2_K.gguf | GGUF | Q2_K | 27.76 GB | Download |
| magnum-72b-v1-iMat-Q3_K_M.gguf | GGUF | Q3_K_M | 35.11 GB | Download |
| magnum-72b-v1-iMat-Q4_K_M.gguf | GGUF | Q4_K_M | 44.16 GB | Download |
| magnum-72b-v1-iMat-Q4_K_S.gguf | GGUF | Q4_K_S | 40.88 GB | Download |
| magnum-72b-v1-iMat-Q5_K_M-00001-of-00002.gguf | GGUF | Q5_K_M | 41.90 GB | Download |
| magnum-72b-v1-iMat-Q5_K_M-00002-of-00002.gguf | GGUF | Q5_K_M | 8.81 GB | Download |
| magnum-72b-v1-iMat-Q5_K_S-00001-of-00002.gguf | GGUF | Q5_K_S | 41.88 GB | Download |
| magnum-72b-v1-iMat-Q5_K_S-00002-of-00002.gguf | GGUF | Q5_K_S | 5.97 GB | Download |
| magnum-72b-v1-iMat-Q6_K-00001-of-00002.gguf | GGUF | Q6_K | 41.69 GB | Download |
| magnum-72b-v1-iMat-Q6_K-00002-of-00002.gguf | GGUF | Q6_K | 18.24 GB | Download |
| magnum-72b-v1-iMat-Q8_0-00001-of-00002.gguf | GGUF | — | 41.91 GB | Download |
| magnum-72b-v1-iMat-Q8_0-00002-of-00002.gguf | GGUF | — | 30.04 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"license": "other",
"license_name": "tongyi-qianwen",
"license_link": "LICENSE",
"tags": [
"chat",
"qwen",
"opus"
],
"frontmatter": {
"license": "other",
"license_name": "tongyi-qianwen",
"license_link": "LICENSE",
"tags": [
"chat",
"qwen",
"opus"
]
},
"hero_image_url": "",
"summary": "`` e88 88e d8 d888 888b 8888 8888 ,\"Y88b 888 8e d88 C8888 8888D 8888 8888 \"8\" 888 888 88b d88888 Y888 888P Y888 888P ,ee 888 888 888 888 \"88 88\" \"88 88\" \"88 888 888 888 888 b 8b, e88'Y88 d8 888 d888 'Y ,\"Y88b 888,8, d88 ,e e, 888 C8888 \"8\" 888 888 \" d88888 d88 88b 888 Y888 ,d ,ee 888 888 888 888 , 888 \"88,d88 \"88 888 888 888 \"YeeP\" 888 PROUDLY PRESENTS ``",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nlicense: other\nlicense_name: tongyi-qianwen\nlicense_link: LICENSE\ntags:\n- chat\n- qwen\n- opus\n---\n\n```\n e88 88e d8 \n d888 888b 8888 8888 ,\"Y88b 888 8e d88 \nC8888 8888D 8888 8888 \"8\" 888 888 88b d88888 \n Y888 888P Y888 888P ,ee 888 888 888 888 \n \"88 88\" \"88 88\" \"88 888 888 888 888 \n b \n 8b, \n \n e88'Y88 d8 888 \n d888 'Y ,\"Y88b 888,8, d88 ,e e, 888 \nC8888 \"8\" 888 888 \" d88888 d88 88b 888 \n Y888 ,d ,ee 888 888 888 888 , 888 \n \"88,d88 \"88 888 888 888 \"YeeP\" 888 \n \nPROUDLY PRESENTS \n```\n\n## magnum-72b-v1-iMat-GGUF\n\n\n\nQuantized from fp16 with love.\n* Weighted quantizations were created using fp16 GGUF and [groups_merged.txt](https://github.com/ggerganov/llama.cpp/discussions/5263#discussioncomment-8395384) in 92 chunks and n_ctx=512\n\nFor a brief rundown of iMatrix quant performance please see this [PR](https://github.com/ggerganov/llama.cpp/pull/5747)\n\n<b>All quants are verified working prior to uploading to repo for your safety and convenience. </b>\n\nOriginal model card [here](https://huggingface.co/alpindale/magnum-72b-v1)",
"related_quantizations": []
},
"tags": [
"gguf",
"chat",
"qwen",
"opus",
"license:other",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
],
"likes": 3,
"downloads": 116,
"gated": false,
"private": false,
"last_modified": "2024-06-19T05:18:52.000Z",
"created_at": "2024-06-18T05:36:58.000Z",
"pipeline_tag": "",
"library_name": ""
}
Source payload excerpt (from Hugging Face API)
{
"_id": "66711cfaabdd1ea72bee75e4",
"id": "Quant-Cartel/magnum-72b-v1-iMat-GGUF",
"modelId": "Quant-Cartel/magnum-72b-v1-iMat-GGUF",
"sha": "688f25d3273f391948542003841be5996c062c23",
"createdAt": "2024-06-18T05:36:58.000Z",
"lastModified": "2024-06-19T05:18:52.000Z",
"author": "Quant-Cartel",
"downloads": 116,
"likes": 3,
"gated": false,
"private": false,
"pipeline_tag": "",
"library_name": "",
"siblings_count": 25
}