mradermacher/glm-4.5-air-reap-82b-a12b-i1-gguf Q3_K_S 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/glm-4.5-air-reap-82b-a12b-i1-gguf overview
About weighted/imatrix quants of https://huggingface.co/cerebras/GLM-4.5-Air-REAP-82B-A12B For a convenient overview and download list, visit our model page for this model. static quants are available at https://huggingface.co/mradermacher/GLM-4.5-Air-REAP-82B-A12B-GGUF
Downloads
285
Likes
1
Pipeline
—
Library
transformers
Visibility
Public
Access
Open
Repository Files & Downloads
10 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| GLM-4.5-Air-REAP-82B-A12B.i1-IQ3_M.gguf | GGUF | IQ3_M | 38.08 GB | Download |
| GLM-4.5-Air-REAP-82B-A12B.i1-IQ3_S.gguf | GGUF | IQ3_S | 37.52 GB | Download |
| GLM-4.5-Air-REAP-82B-A12B.i1-IQ3_XS.gguf | GGUF | IQ3_XS | 35.65 GB | Download |
| GLM-4.5-Air-REAP-82B-A12B.i1-IQ4_XS.gguf | GGUF | IQ4_XS | 43.07 GB | Download |
| GLM-4.5-Air-REAP-82B-A12B.i1-Q2_K.gguf | GGUF | Q2_K | 32.23 GB | Download |
| GLM-4.5-Air-REAP-82B-A12B.i1-Q3_K_L.gguf | GGUF | Q3_K_L | 42.62 GB | Download |
| GLM-4.5-Air-REAP-82B-A12B.i1-Q3_K_M.gguf | GGUF | Q3_K_M | 40.85 GB | Download |
| GLM-4.5-Air-REAP-82B-A12B.i1-Q3_K_S.gguf | GGUF | Q3_K_S | 37.50 GB | Download |
| GLM-4.5-Air-REAP-82B-A12B.i1-Q4_0.gguf | GGUF | — | 44.88 GB | Download |
| GLM-4.5-Air-REAP-82B-A12B.imatrix.gguf | GGUF | — | 165.06 MB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
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"base_model": "cerebras/GLM-4.5-Air-REAP-82B-A12B",
"language": [
"en"
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"library_name": "transformers",
"license": "mit",
"license_link": "https://huggingface.co/zai-org/GLM-4.5-Air/blob/main/LICENSE",
"mradermacher": {
"readme_rev": 1
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"quantized_by": "mradermacher",
"tags": [
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"base_model": "cerebras/GLM-4.5-Air-REAP-82B-A12B",
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"license": "mit",
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"hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
"summary": "## About weighted/imatrix quants of https://huggingface.co/cerebras/GLM-4.5-Air-REAP-82B-A12B ***For a convenient overview and download list, visit our model page for this model.*** static quants are available at https://huggingface.co/mradermacher/GLM-4.5-Air-REAP-82B-A12B-GGUF",
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"readme_markdown": "---\nbase_model: cerebras/GLM-4.5-Air-REAP-82B-A12B\nlanguage:\n- en\nlibrary_name: transformers\nlicense: mit\nlicense_link: https://huggingface.co/zai-org/GLM-4.5-Air/blob/main/LICENSE\nmradermacher:\n readme_rev: 1\nquantized_by: mradermacher\ntags:\n- glm\n- MOE\n- pruning\n- compression\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type: -->\n<!-- ### tags: nicoboss -->\n<!-- ### quants: Q2_K IQ3_M Q4_K_S IQ3_XXS Q3_K_M small-IQ4_NL Q4_K_M IQ2_M Q6_K IQ4_XS Q2_K_S IQ1_M Q3_K_S IQ2_XXS Q3_K_L IQ2_XS Q5_K_S IQ2_S IQ1_S Q5_K_M Q4_0 IQ3_XS Q4_1 IQ3_S -->\n<!-- ### quants_skip: -->\n<!-- ### skip_mmproj: -->\nweighted/imatrix quants of https://huggingface.co/cerebras/GLM-4.5-Air-REAP-82B-A12B\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#GLM-4.5-Air-REAP-82B-A12B-i1-GGUF).***\n\nstatic quants are available at https://huggingface.co/mradermacher/GLM-4.5-Air-REAP-82B-A12B-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/GLM-4.5-Air-REAP-82B-A12B-i1-GGUF/resolve/main/GLM-4.5-Air-REAP-82B-A12B.imatrix.gguf) | imatrix | 0.3 | imatrix file (for creating your own quants) |\n| [GGUF](https://huggingface.co/mradermacher/GLM-4.5-Air-REAP-82B-A12B-i1-GGUF/resolve/main/GLM-4.5-Air-REAP-82B-A12B.i1-Q2_K.gguf) | i1-Q2_K | 34.7 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/GLM-4.5-Air-REAP-82B-A12B-i1-GGUF/resolve/main/GLM-4.5-Air-REAP-82B-A12B.i1-IQ3_XS.gguf) | i1-IQ3_XS | 38.4 | |\n| [GGUF](https://huggingface.co/mradermacher/GLM-4.5-Air-REAP-82B-A12B-i1-GGUF/resolve/main/GLM-4.5-Air-REAP-82B-A12B.i1-Q3_K_S.gguf) | i1-Q3_K_S | 40.4 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/GLM-4.5-Air-REAP-82B-A12B-i1-GGUF/resolve/main/GLM-4.5-Air-REAP-82B-A12B.i1-IQ3_S.gguf) | i1-IQ3_S | 40.4 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/GLM-4.5-Air-REAP-82B-A12B-i1-GGUF/resolve/main/GLM-4.5-Air-REAP-82B-A12B.i1-IQ3_M.gguf) | i1-IQ3_M | 41.0 | |\n| [GGUF](https://huggingface.co/mradermacher/GLM-4.5-Air-REAP-82B-A12B-i1-GGUF/resolve/main/GLM-4.5-Air-REAP-82B-A12B.i1-Q3_K_M.gguf) | i1-Q3_K_M | 44.0 | IQ3_S probably better |\n| [GGUF](https://huggingface.co/mradermacher/GLM-4.5-Air-REAP-82B-A12B-i1-GGUF/resolve/main/GLM-4.5-Air-REAP-82B-A12B.i1-Q3_K_L.gguf) | i1-Q3_K_L | 45.9 | IQ3_M probably better |\n| [GGUF](https://huggingface.co/mradermacher/GLM-4.5-Air-REAP-82B-A12B-i1-GGUF/resolve/main/GLM-4.5-Air-REAP-82B-A12B.i1-IQ4_XS.gguf) | i1-IQ4_XS | 46.3 | |\n| [GGUF](https://huggingface.co/mradermacher/GLM-4.5-Air-REAP-82B-A12B-i1-GGUF/resolve/main/GLM-4.5-Air-REAP-82B-A12B.i1-Q4_0.gguf) | i1-Q4_0 | 48.3 | fast, low quality |\n| [PART 1](https://huggingface.co/mradermacher/GLM-4.5-Air-REAP-82B-A12B-i1-GGUF/resolve/main/GLM-4.5-Air-REAP-82B-A12B.i1-Q4_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/GLM-4.5-Air-REAP-82B-A12B-i1-GGUF/resolve/main/GLM-4.5-Air-REAP-82B-A12B.i1-Q4_K_S.gguf.part2of2) | i1-Q4_K_S | 51.5 | optimal size/speed/quality |\n| [PART 1](https://huggingface.co/mradermacher/GLM-4.5-Air-REAP-82B-A12B-i1-GGUF/resolve/main/GLM-4.5-Air-REAP-82B-A12B.i1-Q4_1.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/GLM-4.5-Air-REAP-82B-A12B-i1-GGUF/resolve/main/GLM-4.5-Air-REAP-82B-A12B.i1-Q4_1.gguf.part2of2) | i1-Q4_1 | 53.4 | |\n| [PART 1](https://huggingface.co/mradermacher/GLM-4.5-Air-REAP-82B-A12B-i1-GGUF/resolve/main/GLM-4.5-Air-REAP-82B-A12B.i1-Q4_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/GLM-4.5-Air-REAP-82B-A12B-i1-GGUF/resolve/main/GLM-4.5-Air-REAP-82B-A12B.i1-Q4_K_M.gguf.part2of2) | i1-Q4_K_M | 56.0 | fast, recommended |\n| [PART 1](https://huggingface.co/mradermacher/GLM-4.5-Air-REAP-82B-A12B-i1-GGUF/resolve/main/GLM-4.5-Air-REAP-82B-A12B.i1-Q5_K_S.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/GLM-4.5-Air-REAP-82B-A12B-i1-GGUF/resolve/main/GLM-4.5-Air-REAP-82B-A12B.i1-Q5_K_S.gguf.part2of2) | i1-Q5_K_S | 60.3 | |\n| [PART 1](https://huggingface.co/mradermacher/GLM-4.5-Air-REAP-82B-A12B-i1-GGUF/resolve/main/GLM-4.5-Air-REAP-82B-A12B.i1-Q5_K_M.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/GLM-4.5-Air-REAP-82B-A12B-i1-GGUF/resolve/main/GLM-4.5-Air-REAP-82B-A12B.i1-Q5_K_M.gguf.part2of2) | i1-Q5_K_M | 64.2 | |\n| [PART 1](https://huggingface.co/mradermacher/GLM-4.5-Air-REAP-82B-A12B-i1-GGUF/resolve/main/GLM-4.5-Air-REAP-82B-A12B.i1-Q6_K.gguf.part1of2) [PART 2](https://huggingface.co/mradermacher/GLM-4.5-Air-REAP-82B-A12B-i1-GGUF/resolve/main/GLM-4.5-Air-REAP-82B-A12B.i1-Q6_K.gguf.part2of2) | i1-Q6_K | 76.1 | 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": [
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"gguf",
"glm",
"MOE",
"pruning",
"compression",
"en",
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"base_model:quantized:cerebras/GLM-4.5-Air-REAP-82B-A12B",
"license:mit",
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"imatrix",
"conversational"
],
"likes": 1,
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"last_modified": "2025-12-06T16:50:10.000Z",
"created_at": "2025-10-26T09:22:43.000Z",
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Source payload excerpt (from Hugging Face API)
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