mradermacher/ia_14b-gguf IQ3_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
mradermacher/ia_14b-gguf overview
About static quants of https://huggingface.co/Minami-su/IA_14B weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.
Downloads
83
Likes
1
Pipeline
—
Library
transformers
Visibility
Public
Access
Open
Repository Files & Downloads
14 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| IA_14B.IQ3_M.gguf | GGUF | IQ3_M | 7.46 GB | Download |
| IA_14B.IQ3_S.gguf | GGUF | IQ3_S | 7.16 GB | Download |
| IA_14B.IQ3_XS.gguf | GGUF | IQ3_XS | 6.89 GB | Download |
| IA_14B.IQ4_XS.gguf | GGUF | IQ4_XS | 8.22 GB | Download |
| IA_14B.Q2_K.gguf | GGUF | Q2_K | 6.36 GB | Download |
| IA_14B.Q3_K_L.gguf | GGUF | Q3_K_L | 8.16 GB | Download |
| IA_14B.Q3_K_M.gguf | GGUF | Q3_K_M | 7.76 GB | Download |
| IA_14B.Q3_K_S.gguf | GGUF | Q3_K_S | 7.16 GB | Download |
| IA_14B.Q4_K_M.gguf | GGUF | Q4_K_M | 9.41 GB | Download |
| IA_14B.Q4_K_S.gguf | GGUF | Q4_K_S | 8.83 GB | Download |
| IA_14B.Q5_K_M.gguf | GGUF | Q5_K_M | 10.67 GB | Download |
| IA_14B.Q5_K_S.gguf | GGUF | Q5_K_S | 10.19 GB | Download |
| IA_14B.Q6_K.gguf | GGUF | Q6_K | 12.32 GB | Download |
| IA_14B.Q8_0.gguf | GGUF | — | 14.71 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"base_model": "Minami-su/IA_14B",
"language": [
"en",
"zh"
],
"library_name": "transformers",
"license": "other",
"license_link": "https://huggingface.co/Qwen/Qwen1.5-14B-Chat/blob/main/LICENSE",
"license_name": "tongyi-qianwen",
"quantized_by": "mradermacher",
"tags": [
"love",
"philosophy",
"literature"
],
"frontmatter": {
"base_model": "Minami-su/IA_14B",
"language": [
"en",
"zh"
],
"library_name": "transformers",
"license": "other",
"license_link": "https://huggingface.co/Qwen/Qwen1.5-14B-Chat/blob/main/LICENSE",
"license_name": "tongyi-qianwen",
"quantized_by": "mradermacher",
"tags": [
"love",
"philosophy",
"literature"
]
},
"hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
"summary": "## About static quants of https://huggingface.co/Minami-su/IA_14B weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nbase_model: Minami-su/IA_14B\nlanguage:\n- en\n- zh\nlibrary_name: transformers\nlicense: other\nlicense_link: https://huggingface.co/Qwen/Qwen1.5-14B-Chat/blob/main/LICENSE\nlicense_name: tongyi-qianwen\nquantized_by: mradermacher\ntags:\n- love\n- philosophy\n- literature\n---\n## About\n\nstatic quants of https://huggingface.co/Minami-su/IA_14B\n\n<!-- provided-files -->\nweighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.\n## Usage\n\nIf you are unsure how to use GGUF files, refer to one of [TheBloke's\nREADMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for\nmore details, including on how to concatenate multi-part files.\n\n## Provided Quants\n\n(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)\n\n| Link | Type | Size/GB | Notes |\n|:-----|:-----|--------:|:------|\n| [GGUF](https://huggingface.co/mradermacher/IA_14B-GGUF/resolve/main/IA_14B.Q2_K.gguf) | Q2_K | 6.9 | |\n| [GGUF](https://huggingface.co/mradermacher/IA_14B-GGUF/resolve/main/IA_14B.IQ3_XS.gguf) | IQ3_XS | 7.5 | |\n| [GGUF](https://huggingface.co/mradermacher/IA_14B-GGUF/resolve/main/IA_14B.IQ3_S.gguf) | IQ3_S | 7.8 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/IA_14B-GGUF/resolve/main/IA_14B.Q3_K_S.gguf) | Q3_K_S | 7.8 | |\n| [GGUF](https://huggingface.co/mradermacher/IA_14B-GGUF/resolve/main/IA_14B.IQ3_M.gguf) | IQ3_M | 8.1 | |\n| [GGUF](https://huggingface.co/mradermacher/IA_14B-GGUF/resolve/main/IA_14B.Q3_K_M.gguf) | Q3_K_M | 8.4 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/IA_14B-GGUF/resolve/main/IA_14B.Q3_K_L.gguf) | Q3_K_L | 8.9 | |\n| [GGUF](https://huggingface.co/mradermacher/IA_14B-GGUF/resolve/main/IA_14B.IQ4_XS.gguf) | IQ4_XS | 8.9 | |\n| [GGUF](https://huggingface.co/mradermacher/IA_14B-GGUF/resolve/main/IA_14B.Q4_K_S.gguf) | Q4_K_S | 9.6 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/IA_14B-GGUF/resolve/main/IA_14B.Q4_K_M.gguf) | Q4_K_M | 10.2 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/IA_14B-GGUF/resolve/main/IA_14B.Q5_K_S.gguf) | Q5_K_S | 11.0 | |\n| [GGUF](https://huggingface.co/mradermacher/IA_14B-GGUF/resolve/main/IA_14B.Q5_K_M.gguf) | Q5_K_M | 11.6 | |\n| [GGUF](https://huggingface.co/mradermacher/IA_14B-GGUF/resolve/main/IA_14B.Q6_K.gguf) | Q6_K | 13.3 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/IA_14B-GGUF/resolve/main/IA_14B.Q8_0.gguf) | Q8_0 | 15.9 | fast, best quality |\n\nHere is a handy graph by ikawrakow comparing some lower-quality quant\ntypes (lower is better):\n\n\n\nAnd here are Artefact2's thoughts on the matter:\nhttps://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9\n\n## FAQ / Model Request\n\nSee https://huggingface.co/mradermacher/model_requests for some answers to\nquestions you might have and/or if you want some other model quantized.\n\n## Thanks\n\nI thank my company, [nethype GmbH](https://www.nethype.de/), for letting\nme use its servers and providing upgrades to my workstation to enable\nthis work in my free time.\n\n<!-- end -->\n",
"related_quantizations": []
},
"tags": [
"transformers",
"gguf",
"love",
"philosophy",
"literature",
"en",
"zh",
"base_model:Minami-su/IA_14B",
"base_model:quantized:Minami-su/IA_14B",
"license:other",
"endpoints_compatible",
"region:us",
"conversational"
],
"likes": 1,
"downloads": 83,
"gated": false,
"private": false,
"last_modified": "2024-05-06T06:08:39.000Z",
"created_at": "2024-03-19T07:57:19.000Z",
"pipeline_tag": "",
"library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
{
"_id": "65f9455f660163af56a95318",
"id": "mradermacher/IA_14B-GGUF",
"modelId": "mradermacher/IA_14B-GGUF",
"sha": "57231f7c97acf0e8a305399272cdf1e399028826",
"createdAt": "2024-03-19T07:57:19.000Z",
"lastModified": "2024-05-06T06:08:39.000Z",
"author": "mradermacher",
"downloads": 83,
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"gated": false,
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"library_name": "transformers",
"siblings_count": 16
}