mradermacher/babel-9b-gguf Q5_K_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/babel-9b-gguf overview
About static quants of https://huggingface.co/Tower-Babel/Babel-9B For a convenient overview and download list, visit our model page for this model. weighted/imatrix quants are available at https://huggingface.co/mradermacher/Babel-9B-i1-GGUF
Downloads
646
Likes
0
Pipeline
—
Library
transformers
Visibility
Public
Access
Open
Repository Files & Downloads
12 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Babel-9B.IQ4_XS.gguf | GGUF | IQ4_XS | 4.66 GB | Download |
| Babel-9B.Q2_K.gguf | GGUF | Q2_K | 3.28 GB | Download |
| Babel-9B.Q3_K_L.gguf | GGUF | Q3_K_L | 4.49 GB | Download |
| Babel-9B.Q3_K_M.gguf | GGUF | Q3_K_M | 4.18 GB | Download |
| Babel-9B.Q3_K_S.gguf | GGUF | Q3_K_S | 3.81 GB | Download |
| Babel-9B.Q4_K_M.gguf | GGUF | Q4_K_M | 5.14 GB | Download |
| Babel-9B.Q4_K_S.gguf | GGUF | Q4_K_S | 4.89 GB | Download |
| Babel-9B.Q5_K_M.gguf | GGUF | Q5_K_M | 5.99 GB | Download |
| Babel-9B.Q5_K_S.gguf | GGUF | Q5_K_S | 5.85 GB | Download |
| Babel-9B.Q6_K.gguf | GGUF | Q6_K | 6.89 GB | Download |
| Babel-9B.Q8_0.gguf | GGUF | — | 8.93 GB | Download |
| Babel-9B.f16.gguf | GGUF | F16 | 16.80 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"base_model": "Tower-Babel/Babel-9B",
"language": [
"en",
"zh",
"hi",
"es",
"fr",
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"library_name": "transformers",
"license": "other",
"license_link": "https://huggingface.co/SeaLLMs/SeaLLM-13B-Chat/blob/main/LICENSE",
"license_name": "seallm",
"mradermacher": {
"readme_rev": 1
},
"quantized_by": "mradermacher",
"tags": [
"multilingual",
"babel"
],
"frontmatter": {
"base_model": "Tower-Babel/Babel-9B",
"language": [
"en",
"zh",
"hi",
"es",
"fr",
"ar",
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"library_name": "transformers",
"license": "other",
"license_link": "https://huggingface.co/SeaLLMs/SeaLLM-13B-Chat/blob/main/LICENSE",
"license_name": "seallm",
"mradermacher": [],
"quantized_by": "mradermacher",
"tags": [
"multilingual",
"babel"
]
},
"hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
"summary": "## About static quants of https://huggingface.co/Tower-Babel/Babel-9B ***For a convenient overview and download list, visit our model page for this model.*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/Babel-9B-i1-GGUF",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nbase_model: Tower-Babel/Babel-9B\nlanguage:\n- en\n- zh\n- hi\n- es\n- fr\n- ar\n- bn\n- ru\n- pt\n- id\n- ur\n- de\n- ja\n- sw\n- ta\n- tr\n- ko\n- vi\n- jv\n- it\n- ha\n- th\n- fa\n- tl\n- my\nlibrary_name: transformers\nlicense: other\nlicense_link: https://huggingface.co/SeaLLMs/SeaLLM-13B-Chat/blob/main/LICENSE\nlicense_name: seallm\nmradermacher:\n readme_rev: 1\nquantized_by: mradermacher\ntags:\n- multilingual\n- babel\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type: -->\n<!-- ### tags: -->\nstatic quants of https://huggingface.co/Tower-Babel/Babel-9B\n\n<!-- provided-files -->\n\n***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Babel-9B-GGUF).***\n\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/Babel-9B-i1-GGUF\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/Babel-9B-GGUF/resolve/main/Babel-9B.Q2_K.gguf) | Q2_K | 3.6 | |\n| [GGUF](https://huggingface.co/mradermacher/Babel-9B-GGUF/resolve/main/Babel-9B.Q3_K_S.gguf) | Q3_K_S | 4.2 | |\n| [GGUF](https://huggingface.co/mradermacher/Babel-9B-GGUF/resolve/main/Babel-9B.Q3_K_M.gguf) | Q3_K_M | 4.6 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Babel-9B-GGUF/resolve/main/Babel-9B.Q3_K_L.gguf) | Q3_K_L | 4.9 | |\n| [GGUF](https://huggingface.co/mradermacher/Babel-9B-GGUF/resolve/main/Babel-9B.IQ4_XS.gguf) | IQ4_XS | 5.1 | |\n| [GGUF](https://huggingface.co/mradermacher/Babel-9B-GGUF/resolve/main/Babel-9B.Q4_K_S.gguf) | Q4_K_S | 5.4 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Babel-9B-GGUF/resolve/main/Babel-9B.Q4_K_M.gguf) | Q4_K_M | 5.6 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Babel-9B-GGUF/resolve/main/Babel-9B.Q5_K_S.gguf) | Q5_K_S | 6.4 | |\n| [GGUF](https://huggingface.co/mradermacher/Babel-9B-GGUF/resolve/main/Babel-9B.Q5_K_M.gguf) | Q5_K_M | 6.5 | |\n| [GGUF](https://huggingface.co/mradermacher/Babel-9B-GGUF/resolve/main/Babel-9B.Q6_K.gguf) | Q6_K | 7.5 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/Babel-9B-GGUF/resolve/main/Babel-9B.Q8_0.gguf) | Q8_0 | 9.7 | fast, best quality |\n| [GGUF](https://huggingface.co/mradermacher/Babel-9B-GGUF/resolve/main/Babel-9B.f16.gguf) | f16 | 18.1 | 16 bpw, overkill |\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",
"multilingual",
"babel",
"en",
"zh",
"hi",
"es",
"fr",
"ar",
"bn",
"ru",
"pt",
"id",
"ur",
"de",
"ja",
"sw",
"ta",
"tr",
"ko",
"vi",
"jv",
"it",
"ha",
"th",
"fa",
"tl",
"my",
"base_model:Tower-Babel/Babel-9B",
"base_model:quantized:Tower-Babel/Babel-9B",
"license:other",
"endpoints_compatible",
"region:us",
"conversational"
],
"likes": 0,
"downloads": 646,
"gated": false,
"private": false,
"last_modified": "2025-07-31T10:02:28.000Z",
"created_at": "2025-03-03T11:36:55.000Z",
"pipeline_tag": "",
"library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
{
"_id": "67c594578ae7d8d1c801ce0c",
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"lastModified": "2025-07-31T10:02:28.000Z",
"author": "mradermacher",
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