Model Intelligence Sheet
mradermacher/ostrich-32b-qwen3-251003-gguf overview
About static quants of https://huggingface.co/etemiz/Ostrich-32B-Qwen3-251003 For a convenient overview and download list, visit our model page for this model. weighted/imatrix quants are available at https://huggingface.co/mradermacher/Ostrich-32B-Qwen3-251003-i1-GGUF
Downloads
223
Likes
1
Pipeline
—
Library
transformers
Visibility
Public
Access
Open
Repository Files & Downloads
11 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Ostrich-32B-Qwen3-251003.IQ4_XS.gguf | GGUF | IQ4_XS | 16.63 GB | Download |
| Ostrich-32B-Qwen3-251003.Q2_K.gguf | GGUF | Q2_K | 11.50 GB | Download |
| Ostrich-32B-Qwen3-251003.Q3_K_L.gguf | GGUF | Q3_K_L | 16.14 GB | Download |
| Ostrich-32B-Qwen3-251003.Q3_K_M.gguf | GGUF | Q3_K_M | 14.87 GB | Download |
| Ostrich-32B-Qwen3-251003.Q3_K_S.gguf | GGUF | Q3_K_S | 13.40 GB | Download |
| Ostrich-32B-Qwen3-251003.Q4_K_M.gguf | GGUF | Q4_K_M | 18.40 GB | Download |
| Ostrich-32B-Qwen3-251003.Q4_K_S.gguf | GGUF | Q4_K_S | 17.48 GB | Download |
| Ostrich-32B-Qwen3-251003.Q5_K_M.gguf | GGUF | Q5_K_M | 21.62 GB | Download |
| Ostrich-32B-Qwen3-251003.Q5_K_S.gguf | GGUF | Q5_K_S | 21.08 GB | Download |
| Ostrich-32B-Qwen3-251003.Q6_K.gguf | GGUF | Q6_K | 25.04 GB | Download |
| Ostrich-32B-Qwen3-251003.Q8_0.gguf | GGUF | — | 32.43 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"base_model": "etemiz/Ostrich-32B-Qwen3-251003",
"language": [
"en"
],
"library_name": "transformers",
"license": "apache-2.0",
"mradermacher": {
"readme_rev": 1
},
"quantized_by": "mradermacher",
"tags": [
"#aha",
"#health",
"#nutrition",
"#medicinalherbs",
"#fasting",
"#faith",
"#healing",
"#bitcoin",
"#nostr"
],
"frontmatter": {
"base_model": "etemiz/Ostrich-32B-Qwen3-251003",
"language": [
"en"
],
"library_name": "transformers",
"license": "apache-2.0",
"mradermacher": [],
"quantized_by": "mradermacher",
"tags": [
"'#aha'",
"'#health'",
"'#nutrition'",
"'#medicinalherbs'",
"'#fasting'",
"'#faith'",
"'#healing'",
"'#bitcoin'",
"'#nostr'"
]
},
"hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
"summary": "## About static quants of https://huggingface.co/etemiz/Ostrich-32B-Qwen3-251003 ***For a convenient overview and download list, visit our model page for this model.*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/Ostrich-32B-Qwen3-251003-i1-GGUF",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nbase_model: etemiz/Ostrich-32B-Qwen3-251003\nlanguage:\n- en\nlibrary_name: transformers\nlicense: apache-2.0\nmradermacher:\n readme_rev: 1\nquantized_by: mradermacher\ntags:\n- '#aha'\n- '#health'\n- '#nutrition'\n- '#medicinalherbs'\n- '#fasting'\n- '#faith'\n- '#healing'\n- '#bitcoin'\n- '#nostr'\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type: -->\n<!-- ### tags: -->\n<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->\n<!-- ### quants_skip: -->\n<!-- ### skip_mmproj: -->\nstatic quants of https://huggingface.co/etemiz/Ostrich-32B-Qwen3-251003\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#Ostrich-32B-Qwen3-251003-GGUF).***\n\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/Ostrich-32B-Qwen3-251003-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/Ostrich-32B-Qwen3-251003-GGUF/resolve/main/Ostrich-32B-Qwen3-251003.Q2_K.gguf) | Q2_K | 12.4 | |\n| [GGUF](https://huggingface.co/mradermacher/Ostrich-32B-Qwen3-251003-GGUF/resolve/main/Ostrich-32B-Qwen3-251003.Q3_K_S.gguf) | Q3_K_S | 14.5 | |\n| [GGUF](https://huggingface.co/mradermacher/Ostrich-32B-Qwen3-251003-GGUF/resolve/main/Ostrich-32B-Qwen3-251003.Q3_K_M.gguf) | Q3_K_M | 16.1 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Ostrich-32B-Qwen3-251003-GGUF/resolve/main/Ostrich-32B-Qwen3-251003.Q3_K_L.gguf) | Q3_K_L | 17.4 | |\n| [GGUF](https://huggingface.co/mradermacher/Ostrich-32B-Qwen3-251003-GGUF/resolve/main/Ostrich-32B-Qwen3-251003.IQ4_XS.gguf) | IQ4_XS | 18.0 | |\n| [GGUF](https://huggingface.co/mradermacher/Ostrich-32B-Qwen3-251003-GGUF/resolve/main/Ostrich-32B-Qwen3-251003.Q4_K_S.gguf) | Q4_K_S | 18.9 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Ostrich-32B-Qwen3-251003-GGUF/resolve/main/Ostrich-32B-Qwen3-251003.Q4_K_M.gguf) | Q4_K_M | 19.9 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Ostrich-32B-Qwen3-251003-GGUF/resolve/main/Ostrich-32B-Qwen3-251003.Q5_K_S.gguf) | Q5_K_S | 22.7 | |\n| [GGUF](https://huggingface.co/mradermacher/Ostrich-32B-Qwen3-251003-GGUF/resolve/main/Ostrich-32B-Qwen3-251003.Q5_K_M.gguf) | Q5_K_M | 23.3 | |\n| [GGUF](https://huggingface.co/mradermacher/Ostrich-32B-Qwen3-251003-GGUF/resolve/main/Ostrich-32B-Qwen3-251003.Q6_K.gguf) | Q6_K | 27.0 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/Ostrich-32B-Qwen3-251003-GGUF/resolve/main/Ostrich-32B-Qwen3-251003.Q8_0.gguf) | Q8_0 | 34.9 | 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",
"#aha",
"#health",
"#nutrition",
"#medicinalherbs",
"#fasting",
"#faith",
"#healing",
"#bitcoin",
"#nostr",
"en",
"base_model:etemiz/Ostrich-32B-Qwen3-251003",
"base_model:quantized:etemiz/Ostrich-32B-Qwen3-251003",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
],
"likes": 1,
"downloads": 223,
"gated": false,
"private": false,
"last_modified": "2025-10-26T02:54:46.000Z",
"created_at": "2025-10-04T20:58:37.000Z",
"pipeline_tag": "",
"library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
{
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"createdAt": "2025-10-04T20:58:37.000Z",
"lastModified": "2025-10-26T02:54:46.000Z",
"author": "mradermacher",
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}