Model Intelligence Sheet
mradermacher/olmo-2-1124-7b-instructsftv00.03-i1-gguf overview
About weighted/imatrix quants of https://huggingface.co/Neelectric/OLMo-2-1124-7B-InstructSFTv00.03 For a convenient overview and download list, visit our model page for this model. static quants are available at https://huggingface.co/mradermacher/OLMo-2-1124-7B-InstructSFTv00.03-GGUF
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transformers
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Repository Files & Downloads
24 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| OLMo-2-1124-7B-InstructSFTv00.03.i1-IQ1_M.gguf | GGUF | IQ1_M | 1.81 GB | Download |
| OLMo-2-1124-7B-InstructSFTv00.03.i1-IQ1_S.gguf | GGUF | IQ1_S | 1.69 GB | Download |
| OLMo-2-1124-7B-InstructSFTv00.03.i1-IQ2_M.gguf | GGUF | IQ2_M | 2.49 GB | Download |
| OLMo-2-1124-7B-InstructSFTv00.03.i1-IQ2_S.gguf | GGUF | IQ2_S | 2.34 GB | Download |
| OLMo-2-1124-7B-InstructSFTv00.03.i1-IQ2_XS.gguf | GGUF | IQ2_XS | 2.16 GB | Download |
| OLMo-2-1124-7B-InstructSFTv00.03.i1-IQ2_XXS.gguf | GGUF | IQ2_XXS | 2.00 GB | Download |
| OLMo-2-1124-7B-InstructSFTv00.03.i1-IQ3_M.gguf | GGUF | IQ3_M | 3.23 GB | Download |
| OLMo-2-1124-7B-InstructSFTv00.03.i1-IQ3_S.gguf | GGUF | IQ3_S | 3.08 GB | Download |
| OLMo-2-1124-7B-InstructSFTv00.03.i1-IQ3_XS.gguf | GGUF | IQ3_XS | 2.93 GB | Download |
| OLMo-2-1124-7B-InstructSFTv00.03.i1-IQ3_XXS.gguf | GGUF | IQ3_XXS | 2.70 GB | Download |
| OLMo-2-1124-7B-InstructSFTv00.03.i1-IQ4_NL.gguf | GGUF | IQ4_NL | 3.93 GB | Download |
| OLMo-2-1124-7B-InstructSFTv00.03.i1-IQ4_XS.gguf | GGUF | IQ4_XS | 3.73 GB | Download |
| OLMo-2-1124-7B-InstructSFTv00.03.i1-Q2_K.gguf | GGUF | Q2_K | 2.66 GB | Download |
| OLMo-2-1124-7B-InstructSFTv00.03.i1-Q2_K_S.gguf | GGUF | Q2_K_S | 2.46 GB | Download |
| OLMo-2-1124-7B-InstructSFTv00.03.i1-Q3_K_L.gguf | GGUF | Q3_K_L | 3.68 GB | Download |
| OLMo-2-1124-7B-InstructSFTv00.03.i1-Q3_K_M.gguf | GGUF | Q3_K_M | 3.40 GB | Download |
| OLMo-2-1124-7B-InstructSFTv00.03.i1-Q3_K_S.gguf | GGUF | Q3_K_S | 3.08 GB | Download |
| OLMo-2-1124-7B-InstructSFTv00.03.i1-Q4_0.gguf | GGUF | — | 3.94 GB | Download |
| OLMo-2-1124-7B-InstructSFTv00.03.i1-Q4_1.gguf | GGUF | — | 4.33 GB | Download |
| OLMo-2-1124-7B-InstructSFTv00.03.i1-Q4_K_M.gguf | GGUF | Q4_K_M | 4.16 GB | Download |
| OLMo-2-1124-7B-InstructSFTv00.03.i1-Q4_K_S.gguf | GGUF | Q4_K_S | 3.96 GB | Download |
| OLMo-2-1124-7B-InstructSFTv00.03.i1-Q5_K_M.gguf | GGUF | Q5_K_M | 4.85 GB | Download |
| OLMo-2-1124-7B-InstructSFTv00.03.i1-Q5_K_S.gguf | GGUF | Q5_K_S | 4.73 GB | Download |
| OLMo-2-1124-7B-InstructSFTv00.03.i1-Q6_K.gguf | GGUF | Q6_K | 5.58 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"base_model": "Neelectric/OLMo-2-1124-7B-InstructSFTv00.03",
"datasets": "open-r1/OpenR1-Math-220k",
"language": [
"en"
],
"library_name": "transformers",
"model_name": "OLMo-2-1124-7B-InstructSFTv00.03",
"mradermacher": {
"readme_rev": 1
},
"quantized_by": "mradermacher",
"tags": [
"generated_from_trainer",
"open-r1",
"trl",
"sft"
],
"frontmatter": {
"base_model": "Neelectric/OLMo-2-1124-7B-InstructSFTv00.03",
"datasets": "open-r1/OpenR1-Math-220k",
"language": [
"en"
],
"library_name": "transformers",
"model_name": "OLMo-2-1124-7B-InstructSFTv00.03",
"mradermacher": [],
"quantized_by": "mradermacher",
"tags": [
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"open-r1",
"trl",
"sft"
]
},
"hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
"summary": "## About weighted/imatrix quants of https://huggingface.co/Neelectric/OLMo-2-1124-7B-InstructSFTv00.03 ***For a convenient overview and download list, visit our model page for this model.*** static quants are available at https://huggingface.co/mradermacher/OLMo-2-1124-7B-InstructSFTv00.03-GGUF",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nbase_model: Neelectric/OLMo-2-1124-7B-InstructSFTv00.03\ndatasets: open-r1/OpenR1-Math-220k\nlanguage:\n- en\nlibrary_name: transformers\nmodel_name: OLMo-2-1124-7B-InstructSFTv00.03\nmradermacher:\n readme_rev: 1\nquantized_by: mradermacher\ntags:\n- generated_from_trainer\n- open-r1\n- trl\n- sft\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type: -->\n<!-- ### tags: nicoboss -->\nweighted/imatrix quants of https://huggingface.co/Neelectric/OLMo-2-1124-7B-InstructSFTv00.03\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#OLMo-2-1124-7B-InstructSFTv00.03-i1-GGUF).***\n\nstatic quants are available at https://huggingface.co/mradermacher/OLMo-2-1124-7B-InstructSFTv00.03-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/OLMo-2-1124-7B-InstructSFTv00.03-i1-GGUF/resolve/main/OLMo-2-1124-7B-InstructSFTv00.03.i1-IQ1_S.gguf) | i1-IQ1_S | 1.9 | for the desperate |\n| [GGUF](https://huggingface.co/mradermacher/OLMo-2-1124-7B-InstructSFTv00.03-i1-GGUF/resolve/main/OLMo-2-1124-7B-InstructSFTv00.03.i1-IQ1_M.gguf) | i1-IQ1_M | 2.0 | mostly desperate |\n| [GGUF](https://huggingface.co/mradermacher/OLMo-2-1124-7B-InstructSFTv00.03-i1-GGUF/resolve/main/OLMo-2-1124-7B-InstructSFTv00.03.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 2.2 | |\n| [GGUF](https://huggingface.co/mradermacher/OLMo-2-1124-7B-InstructSFTv00.03-i1-GGUF/resolve/main/OLMo-2-1124-7B-InstructSFTv00.03.i1-IQ2_XS.gguf) | i1-IQ2_XS | 2.4 | |\n| [GGUF](https://huggingface.co/mradermacher/OLMo-2-1124-7B-InstructSFTv00.03-i1-GGUF/resolve/main/OLMo-2-1124-7B-InstructSFTv00.03.i1-IQ2_S.gguf) | i1-IQ2_S | 2.6 | |\n| [GGUF](https://huggingface.co/mradermacher/OLMo-2-1124-7B-InstructSFTv00.03-i1-GGUF/resolve/main/OLMo-2-1124-7B-InstructSFTv00.03.i1-Q2_K_S.gguf) | i1-Q2_K_S | 2.7 | very low quality |\n| [GGUF](https://huggingface.co/mradermacher/OLMo-2-1124-7B-InstructSFTv00.03-i1-GGUF/resolve/main/OLMo-2-1124-7B-InstructSFTv00.03.i1-IQ2_M.gguf) | i1-IQ2_M | 2.8 | |\n| [GGUF](https://huggingface.co/mradermacher/OLMo-2-1124-7B-InstructSFTv00.03-i1-GGUF/resolve/main/OLMo-2-1124-7B-InstructSFTv00.03.i1-Q2_K.gguf) | i1-Q2_K | 3.0 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/OLMo-2-1124-7B-InstructSFTv00.03-i1-GGUF/resolve/main/OLMo-2-1124-7B-InstructSFTv00.03.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 3.0 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/OLMo-2-1124-7B-InstructSFTv00.03-i1-GGUF/resolve/main/OLMo-2-1124-7B-InstructSFTv00.03.i1-IQ3_XS.gguf) | i1-IQ3_XS | 3.3 | |\n| [GGUF](https://huggingface.co/mradermacher/OLMo-2-1124-7B-InstructSFTv00.03-i1-GGUF/resolve/main/OLMo-2-1124-7B-InstructSFTv00.03.i1-IQ3_S.gguf) | i1-IQ3_S | 3.4 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/OLMo-2-1124-7B-InstructSFTv00.03-i1-GGUF/resolve/main/OLMo-2-1124-7B-InstructSFTv00.03.i1-Q3_K_S.gguf) | i1-Q3_K_S | 3.4 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/OLMo-2-1124-7B-InstructSFTv00.03-i1-GGUF/resolve/main/OLMo-2-1124-7B-InstructSFTv00.03.i1-IQ3_M.gguf) | i1-IQ3_M | 3.6 | |\n| [GGUF](https://huggingface.co/mradermacher/OLMo-2-1124-7B-InstructSFTv00.03-i1-GGUF/resolve/main/OLMo-2-1124-7B-InstructSFTv00.03.i1-Q3_K_M.gguf) | i1-Q3_K_M | 3.8 | IQ3_S probably better |\n| [GGUF](https://huggingface.co/mradermacher/OLMo-2-1124-7B-InstructSFTv00.03-i1-GGUF/resolve/main/OLMo-2-1124-7B-InstructSFTv00.03.i1-Q3_K_L.gguf) | i1-Q3_K_L | 4.1 | IQ3_M probably better |\n| [GGUF](https://huggingface.co/mradermacher/OLMo-2-1124-7B-InstructSFTv00.03-i1-GGUF/resolve/main/OLMo-2-1124-7B-InstructSFTv00.03.i1-IQ4_XS.gguf) | i1-IQ4_XS | 4.1 | |\n| [GGUF](https://huggingface.co/mradermacher/OLMo-2-1124-7B-InstructSFTv00.03-i1-GGUF/resolve/main/OLMo-2-1124-7B-InstructSFTv00.03.i1-IQ4_NL.gguf) | i1-IQ4_NL | 4.3 | prefer IQ4_XS |\n| [GGUF](https://huggingface.co/mradermacher/OLMo-2-1124-7B-InstructSFTv00.03-i1-GGUF/resolve/main/OLMo-2-1124-7B-InstructSFTv00.03.i1-Q4_0.gguf) | i1-Q4_0 | 4.3 | fast, low quality |\n| [GGUF](https://huggingface.co/mradermacher/OLMo-2-1124-7B-InstructSFTv00.03-i1-GGUF/resolve/main/OLMo-2-1124-7B-InstructSFTv00.03.i1-Q4_K_S.gguf) | i1-Q4_K_S | 4.3 | optimal size/speed/quality |\n| [GGUF](https://huggingface.co/mradermacher/OLMo-2-1124-7B-InstructSFTv00.03-i1-GGUF/resolve/main/OLMo-2-1124-7B-InstructSFTv00.03.i1-Q4_K_M.gguf) | i1-Q4_K_M | 4.6 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/OLMo-2-1124-7B-InstructSFTv00.03-i1-GGUF/resolve/main/OLMo-2-1124-7B-InstructSFTv00.03.i1-Q4_1.gguf) | i1-Q4_1 | 4.7 | |\n| [GGUF](https://huggingface.co/mradermacher/OLMo-2-1124-7B-InstructSFTv00.03-i1-GGUF/resolve/main/OLMo-2-1124-7B-InstructSFTv00.03.i1-Q5_K_S.gguf) | i1-Q5_K_S | 5.2 | |\n| [GGUF](https://huggingface.co/mradermacher/OLMo-2-1124-7B-InstructSFTv00.03-i1-GGUF/resolve/main/OLMo-2-1124-7B-InstructSFTv00.03.i1-Q5_K_M.gguf) | i1-Q5_K_M | 5.3 | |\n| [GGUF](https://huggingface.co/mradermacher/OLMo-2-1124-7B-InstructSFTv00.03-i1-GGUF/resolve/main/OLMo-2-1124-7B-InstructSFTv00.03.i1-Q6_K.gguf) | i1-Q6_K | 6.1 | practically like static Q6_K |\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. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.\n\n<!-- end -->\n",
"related_quantizations": []
},
"tags": [
"transformers",
"gguf",
"generated_from_trainer",
"open-r1",
"trl",
"sft",
"en",
"dataset:open-r1/OpenR1-Math-220k",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
],
"likes": 0,
"downloads": 93,
"gated": false,
"private": false,
"last_modified": "2025-07-11T08:01:58.000Z",
"created_at": "2025-03-26T07:31:21.000Z",
"pipeline_tag": "",
"library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
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"id": "mradermacher/OLMo-2-1124-7B-InstructSFTv00.03-i1-GGUF",
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"sha": "7f55c84d29194b6b5e39529b235a175026cf6415",
"createdAt": "2025-03-26T07:31:21.000Z",
"lastModified": "2025-07-11T08:01:58.000Z",
"author": "mradermacher",
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}