mradermacher/deepthought-moe-8x3b-r1-llama-3.2-reasoning-18b-gguf Q3_K_L 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/deepthought-moe-8x3b-r1-llama-3.2-reasoning-18b-gguf overview
About static quants of https://huggingface.co/DavidAU/DeepThought-MOE-8X3B-R1-Llama-3.2-Reasoning-18B For a convenient overview and download list, visit our model page for this model. weighted/imatrix quants are available at https://huggingface.co/mradermacher/DeepThought-MOE-8X3B-R1-Llama-3.2-Reasoning-18B-i1-GGUF
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transformers
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Repository Files & Downloads
11 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| DeepThought-MOE-8X3B-R1-Llama-3.2-Reasoning-18B.IQ4_XS.gguf | GGUF | IQ4_XS | 9.44 GB | Download |
| DeepThought-MOE-8X3B-R1-Llama-3.2-Reasoning-18B.Q2_K.gguf | GGUF | Q2_K | 6.56 GB | Download |
| DeepThought-MOE-8X3B-R1-Llama-3.2-Reasoning-18B.Q3_K_L.gguf | GGUF | Q3_K_L | 8.98 GB | Download |
| DeepThought-MOE-8X3B-R1-Llama-3.2-Reasoning-18B.Q3_K_M.gguf | GGUF | Q3_K_M | 8.41 GB | Download |
| DeepThought-MOE-8X3B-R1-Llama-3.2-Reasoning-18B.Q3_K_S.gguf | GGUF | Q3_K_S | 7.69 GB | Download |
| DeepThought-MOE-8X3B-R1-Llama-3.2-Reasoning-18B.Q4_K_M.gguf | GGUF | Q4_K_M | 10.54 GB | Download |
| DeepThought-MOE-8X3B-R1-Llama-3.2-Reasoning-18B.Q4_K_S.gguf | GGUF | Q4_K_S | 9.93 GB | Download |
| DeepThought-MOE-8X3B-R1-Llama-3.2-Reasoning-18B.Q5_K_M.gguf | GGUF | Q5_K_M | 12.25 GB | Download |
| DeepThought-MOE-8X3B-R1-Llama-3.2-Reasoning-18B.Q5_K_S.gguf | GGUF | Q5_K_S | 11.90 GB | Download |
| DeepThought-MOE-8X3B-R1-Llama-3.2-Reasoning-18B.Q6_K.gguf | GGUF | Q6_K | 14.11 GB | Download |
| DeepThought-MOE-8X3B-R1-Llama-3.2-Reasoning-18B.Q8_0.gguf | GGUF | — | 18.22 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
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"base_model": "DavidAU/DeepThought-MOE-8X3B-R1-Llama-3.2-Reasoning-18B",
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"base_model": "DavidAU/DeepThought-MOE-8X3B-R1-Llama-3.2-Reasoning-18B",
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"summary": "## About static quants of https://huggingface.co/DavidAU/DeepThought-MOE-8X3B-R1-Llama-3.2-Reasoning-18B ***For a convenient overview and download list, visit our model page for this model.*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/DeepThought-MOE-8X3B-R1-Llama-3.2-Reasoning-18B-i1-GGUF",
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"readme_markdown": "---\nbase_model: DavidAU/DeepThought-MOE-8X3B-R1-Llama-3.2-Reasoning-18B\nlanguage:\n- en\nlibrary_name: transformers\nmradermacher:\n readme_rev: 1\nquantized_by: mradermacher\ntags:\n- Llama 3.2\n- 8 X 3B\n- 128k context\n- moe\n- 8 experts\n- reasoning\n- thinking\n- r1\n- cot\n- deepseek\n- mixture of experts\n- mergekit\n- merge\n- llama-3\n- llama-3.2\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/DavidAU/DeepThought-MOE-8X3B-R1-Llama-3.2-Reasoning-18B\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#DeepThought-MOE-8X3B-R1-Llama-3.2-Reasoning-18B-GGUF).***\n\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/DeepThought-MOE-8X3B-R1-Llama-3.2-Reasoning-18B-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/DeepThought-MOE-8X3B-R1-Llama-3.2-Reasoning-18B-GGUF/resolve/main/DeepThought-MOE-8X3B-R1-Llama-3.2-Reasoning-18B.Q2_K.gguf) | Q2_K | 7.1 | |\n| [GGUF](https://huggingface.co/mradermacher/DeepThought-MOE-8X3B-R1-Llama-3.2-Reasoning-18B-GGUF/resolve/main/DeepThought-MOE-8X3B-R1-Llama-3.2-Reasoning-18B.Q3_K_S.gguf) | Q3_K_S | 8.4 | |\n| [GGUF](https://huggingface.co/mradermacher/DeepThought-MOE-8X3B-R1-Llama-3.2-Reasoning-18B-GGUF/resolve/main/DeepThought-MOE-8X3B-R1-Llama-3.2-Reasoning-18B.Q3_K_M.gguf) | Q3_K_M | 9.1 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/DeepThought-MOE-8X3B-R1-Llama-3.2-Reasoning-18B-GGUF/resolve/main/DeepThought-MOE-8X3B-R1-Llama-3.2-Reasoning-18B.Q3_K_L.gguf) | Q3_K_L | 9.7 | |\n| [GGUF](https://huggingface.co/mradermacher/DeepThought-MOE-8X3B-R1-Llama-3.2-Reasoning-18B-GGUF/resolve/main/DeepThought-MOE-8X3B-R1-Llama-3.2-Reasoning-18B.IQ4_XS.gguf) | IQ4_XS | 10.2 | |\n| [GGUF](https://huggingface.co/mradermacher/DeepThought-MOE-8X3B-R1-Llama-3.2-Reasoning-18B-GGUF/resolve/main/DeepThought-MOE-8X3B-R1-Llama-3.2-Reasoning-18B.Q4_K_S.gguf) | Q4_K_S | 10.8 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/DeepThought-MOE-8X3B-R1-Llama-3.2-Reasoning-18B-GGUF/resolve/main/DeepThought-MOE-8X3B-R1-Llama-3.2-Reasoning-18B.Q4_K_M.gguf) | Q4_K_M | 11.4 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/DeepThought-MOE-8X3B-R1-Llama-3.2-Reasoning-18B-GGUF/resolve/main/DeepThought-MOE-8X3B-R1-Llama-3.2-Reasoning-18B.Q5_K_S.gguf) | Q5_K_S | 12.9 | |\n| [GGUF](https://huggingface.co/mradermacher/DeepThought-MOE-8X3B-R1-Llama-3.2-Reasoning-18B-GGUF/resolve/main/DeepThought-MOE-8X3B-R1-Llama-3.2-Reasoning-18B.Q5_K_M.gguf) | Q5_K_M | 13.3 | |\n| [GGUF](https://huggingface.co/mradermacher/DeepThought-MOE-8X3B-R1-Llama-3.2-Reasoning-18B-GGUF/resolve/main/DeepThought-MOE-8X3B-R1-Llama-3.2-Reasoning-18B.Q6_K.gguf) | Q6_K | 15.3 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/DeepThought-MOE-8X3B-R1-Llama-3.2-Reasoning-18B-GGUF/resolve/main/DeepThought-MOE-8X3B-R1-Llama-3.2-Reasoning-18B.Q8_0.gguf) | Q8_0 | 19.7 | 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",
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"Llama 3.2",
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"en",
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"region:us",
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"likes": 0,
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"last_modified": "2025-07-31T11:37:34.000Z",
"created_at": "2025-02-21T17:14:15.000Z",
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Source payload excerpt (from Hugging Face API)
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