mradermacher/darwin-35b-a3b-opus-i1-gguf IQ2_XXS 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/darwin-35b-a3b-opus-i1-gguf overview
About weighted/imatrix quants of https://huggingface.co/FINAL-Bench/Darwin-35B-A3B-Opus For a convenient overview and download list, visit our model page for this model. static quants are available at https://huggingface.co/mradermacher/Darwin-35B-A3B-Opus-GGUF This is a vision model - mmproj files (if any) will be in the static repository.
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transformers
Visibility
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Repository Files & Downloads
24 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Darwin-35B-A3B-Opus.i1-IQ1_M.gguf | GGUF | IQ1_M | 7.67 GB | Download |
| Darwin-35B-A3B-Opus.i1-IQ1_S.gguf | GGUF | IQ1_S | 6.97 GB | Download |
| Darwin-35B-A3B-Opus.i1-IQ2_M.gguf | GGUF | IQ2_M | 10.86 GB | Download |
| Darwin-35B-A3B-Opus.i1-IQ2_S.gguf | GGUF | IQ2_S | 9.92 GB | Download |
| Darwin-35B-A3B-Opus.i1-IQ2_XS.gguf | GGUF | IQ2_XS | 9.79 GB | Download |
| Darwin-35B-A3B-Opus.i1-IQ2_XXS.gguf | GGUF | IQ2_XXS | 8.85 GB | Download |
| Darwin-35B-A3B-Opus.i1-IQ3_M.gguf | GGUF | IQ3_M | 14.38 GB | Download |
| Darwin-35B-A3B-Opus.i1-IQ3_S.gguf | GGUF | IQ3_S | 14.20 GB | Download |
| Darwin-35B-A3B-Opus.i1-IQ3_XS.gguf | GGUF | IQ3_XS | 13.49 GB | Download |
| Darwin-35B-A3B-Opus.i1-IQ3_XXS.gguf | GGUF | IQ3_XXS | 12.69 GB | Download |
| Darwin-35B-A3B-Opus.i1-IQ4_XS.gguf | GGUF | IQ4_XS | 17.44 GB | Download |
| Darwin-35B-A3B-Opus.i1-Q2_K.gguf | GGUF | Q2_K | 12.05 GB | Download |
| Darwin-35B-A3B-Opus.i1-Q2_K_S.gguf | GGUF | Q2_K_S | 11.32 GB | Download |
| Darwin-35B-A3B-Opus.i1-Q3_K_L.gguf | GGUF | Q3_K_L | 16.87 GB | Download |
| Darwin-35B-A3B-Opus.i1-Q3_K_M.gguf | GGUF | Q3_K_M | 15.61 GB | Download |
| Darwin-35B-A3B-Opus.i1-Q3_K_S.gguf | GGUF | Q3_K_S | 14.14 GB | Download |
| Darwin-35B-A3B-Opus.i1-Q4_0.gguf | GGUF | — | 18.44 GB | Download |
| Darwin-35B-A3B-Opus.i1-Q4_1.gguf | GGUF | — | 20.35 GB | Download |
| Darwin-35B-A3B-Opus.i1-Q4_K_M.gguf | GGUF | Q4_K_M | 19.71 GB | Download |
| Darwin-35B-A3B-Opus.i1-Q4_K_S.gguf | GGUF | Q4_K_S | 18.52 GB | Download |
| Darwin-35B-A3B-Opus.i1-Q5_K_M.gguf | GGUF | Q5_K_M | 23.03 GB | Download |
| Darwin-35B-A3B-Opus.i1-Q5_K_S.gguf | GGUF | Q5_K_S | 22.33 GB | Download |
| Darwin-35B-A3B-Opus.i1-Q6_K.gguf | GGUF | Q6_K | 26.56 GB | Download |
| Darwin-35B-A3B-Opus.imatrix.gguf | GGUF | — | 183.32 MB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"base_model": "FINAL-Bench/Darwin-35B-A3B-Opus",
"language": [
"en",
"zh",
"ko",
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],
"library_name": "transformers",
"license": "apache-2.0",
"mradermacher": {
"readme_rev": 1
},
"quantized_by": "mradermacher",
"tags": [
"merge",
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"chain-of-thought",
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"base_model": "FINAL-Bench/Darwin-35B-A3B-Opus",
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"hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
"summary": "## About weighted/imatrix quants of https://huggingface.co/FINAL-Bench/Darwin-35B-A3B-Opus ***For a convenient overview and download list, visit our model page for this model.*** static quants are available at https://huggingface.co/mradermacher/Darwin-35B-A3B-Opus-GGUF **This is a vision model - mmproj files (if any) will be in the static repository.**",
"quick_links": [],
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"readme_markdown": "---\nbase_model: FINAL-Bench/Darwin-35B-A3B-Opus\nlanguage:\n- en\n- zh\n- ko\n- ja\n- de\n- fr\n- es\n- ru\n- ar\n- multilingual\nlibrary_name: transformers\nlicense: apache-2.0\nmradermacher:\n readme_rev: 1\nquantized_by: mradermacher\ntags:\n- merge\n- evolutionary-merge\n- darwin\n- darwin-v5\n- model-mri\n- reasoning\n- advanced-reasoning\n- chain-of-thought\n- thinking\n- qwen3.5\n- qwen\n- moe\n- mixture-of-experts\n- claude-opus\n- distillation\n- multimodal\n- vision-language\n- multilingual\n- gpqa\n- benchmark\n- open-source\n- apache-2.0\n- layer-wise-merge\n- moe-merge\n- dead-expert-revival\n- coding-agent\n- tool-calling\n- long-context\n- 262k-context\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/FINAL-Bench/Darwin-35B-A3B-Opus\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#Darwin-35B-A3B-Opus-i1-GGUF).***\n\nstatic quants are available at https://huggingface.co/mradermacher/Darwin-35B-A3B-Opus-GGUF\n\n**This is a vision model - mmproj files (if any) will be in the [static repository](https://huggingface.co/mradermacher/Darwin-35B-A3B-Opus-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/Darwin-35B-A3B-Opus-i1-GGUF/resolve/main/Darwin-35B-A3B-Opus.imatrix.gguf) | imatrix | 0.3 | imatrix file (for creating your own quants) |\n| [GGUF](https://huggingface.co/mradermacher/Darwin-35B-A3B-Opus-i1-GGUF/resolve/main/Darwin-35B-A3B-Opus.i1-IQ1_S.gguf) | i1-IQ1_S | 7.6 | for the desperate |\n| [GGUF](https://huggingface.co/mradermacher/Darwin-35B-A3B-Opus-i1-GGUF/resolve/main/Darwin-35B-A3B-Opus.i1-IQ1_M.gguf) | i1-IQ1_M | 8.3 | mostly desperate |\n| [GGUF](https://huggingface.co/mradermacher/Darwin-35B-A3B-Opus-i1-GGUF/resolve/main/Darwin-35B-A3B-Opus.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 9.6 | |\n| [GGUF](https://huggingface.co/mradermacher/Darwin-35B-A3B-Opus-i1-GGUF/resolve/main/Darwin-35B-A3B-Opus.i1-IQ2_XS.gguf) | i1-IQ2_XS | 10.6 | |\n| [GGUF](https://huggingface.co/mradermacher/Darwin-35B-A3B-Opus-i1-GGUF/resolve/main/Darwin-35B-A3B-Opus.i1-IQ2_S.gguf) | i1-IQ2_S | 10.8 | |\n| [GGUF](https://huggingface.co/mradermacher/Darwin-35B-A3B-Opus-i1-GGUF/resolve/main/Darwin-35B-A3B-Opus.i1-IQ2_M.gguf) | i1-IQ2_M | 11.8 | |\n| [GGUF](https://huggingface.co/mradermacher/Darwin-35B-A3B-Opus-i1-GGUF/resolve/main/Darwin-35B-A3B-Opus.i1-Q2_K_S.gguf) | i1-Q2_K_S | 12.3 | very low quality |\n| [GGUF](https://huggingface.co/mradermacher/Darwin-35B-A3B-Opus-i1-GGUF/resolve/main/Darwin-35B-A3B-Opus.i1-Q2_K.gguf) | i1-Q2_K | 13.0 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/Darwin-35B-A3B-Opus-i1-GGUF/resolve/main/Darwin-35B-A3B-Opus.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 13.7 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Darwin-35B-A3B-Opus-i1-GGUF/resolve/main/Darwin-35B-A3B-Opus.i1-IQ3_XS.gguf) | i1-IQ3_XS | 14.6 | |\n| [GGUF](https://huggingface.co/mradermacher/Darwin-35B-A3B-Opus-i1-GGUF/resolve/main/Darwin-35B-A3B-Opus.i1-Q3_K_S.gguf) | i1-Q3_K_S | 15.3 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/Darwin-35B-A3B-Opus-i1-GGUF/resolve/main/Darwin-35B-A3B-Opus.i1-IQ3_S.gguf) | i1-IQ3_S | 15.4 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/Darwin-35B-A3B-Opus-i1-GGUF/resolve/main/Darwin-35B-A3B-Opus.i1-IQ3_M.gguf) | i1-IQ3_M | 15.5 | |\n| [GGUF](https://huggingface.co/mradermacher/Darwin-35B-A3B-Opus-i1-GGUF/resolve/main/Darwin-35B-A3B-Opus.i1-Q3_K_M.gguf) | i1-Q3_K_M | 16.9 | IQ3_S probably better |\n| [GGUF](https://huggingface.co/mradermacher/Darwin-35B-A3B-Opus-i1-GGUF/resolve/main/Darwin-35B-A3B-Opus.i1-Q3_K_L.gguf) | i1-Q3_K_L | 18.2 | IQ3_M probably better |\n| [GGUF](https://huggingface.co/mradermacher/Darwin-35B-A3B-Opus-i1-GGUF/resolve/main/Darwin-35B-A3B-Opus.i1-IQ4_XS.gguf) | i1-IQ4_XS | 18.8 | |\n| [GGUF](https://huggingface.co/mradermacher/Darwin-35B-A3B-Opus-i1-GGUF/resolve/main/Darwin-35B-A3B-Opus.i1-Q4_0.gguf) | i1-Q4_0 | 19.9 | fast, low quality |\n| [GGUF](https://huggingface.co/mradermacher/Darwin-35B-A3B-Opus-i1-GGUF/resolve/main/Darwin-35B-A3B-Opus.i1-Q4_K_S.gguf) | i1-Q4_K_S | 20.0 | optimal size/speed/quality |\n| [GGUF](https://huggingface.co/mradermacher/Darwin-35B-A3B-Opus-i1-GGUF/resolve/main/Darwin-35B-A3B-Opus.i1-Q4_K_M.gguf) | i1-Q4_K_M | 21.3 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Darwin-35B-A3B-Opus-i1-GGUF/resolve/main/Darwin-35B-A3B-Opus.i1-Q4_1.gguf) | i1-Q4_1 | 21.9 | |\n| [GGUF](https://huggingface.co/mradermacher/Darwin-35B-A3B-Opus-i1-GGUF/resolve/main/Darwin-35B-A3B-Opus.i1-Q5_K_S.gguf) | i1-Q5_K_S | 24.1 | |\n| [GGUF](https://huggingface.co/mradermacher/Darwin-35B-A3B-Opus-i1-GGUF/resolve/main/Darwin-35B-A3B-Opus.i1-Q5_K_M.gguf) | i1-Q5_K_M | 24.8 | |\n| [GGUF](https://huggingface.co/mradermacher/Darwin-35B-A3B-Opus-i1-GGUF/resolve/main/Darwin-35B-A3B-Opus.i1-Q6_K.gguf) | i1-Q6_K | 28.6 | 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",
"merge",
"evolutionary-merge",
"darwin",
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"model-mri",
"reasoning",
"advanced-reasoning",
"chain-of-thought",
"thinking",
"qwen3.5",
"qwen",
"moe",
"mixture-of-experts",
"claude-opus",
"distillation",
"multimodal",
"vision-language",
"multilingual",
"gpqa",
"benchmark",
"open-source",
"apache-2.0",
"layer-wise-merge",
"moe-merge",
"dead-expert-revival",
"coding-agent",
"tool-calling",
"long-context",
"262k-context",
"en",
"zh",
"ko",
"ja",
"de",
"fr",
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"ar",
"base_model:FINAL-Bench/Darwin-35B-A3B-Opus",
"base_model:quantized:FINAL-Bench/Darwin-35B-A3B-Opus",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"imatrix",
"conversational"
],
"likes": 1,
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"last_modified": "2026-04-04T07:00:10.000Z",
"created_at": "2026-04-03T14:07:43.000Z",
"pipeline_tag": "",
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}
Source payload excerpt (from Hugging Face API)
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