Model Intelligence Sheet
mradermacher/q3-30b-a3b-designant-i1-gguf overview
About weighted/imatrix quants of https://huggingface.co/allura-org/Q3-30B-A3B-Designant For a convenient overview and download list, visit our model page for this model. static quants are available at https://huggingface.co/mradermacher/Q3-30B-A3B-Designant-GGUF
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transformers
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Repository Files & Downloads
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Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Q3-30B-A3B-Designant.i1-IQ3_M.gguf | GGUF | IQ3_M | 12.59 GB | Download |
| Q3-30B-A3B-Designant.i1-IQ3_S.gguf | GGUF | IQ3_S | 12.39 GB | Download |
| Q3-30B-A3B-Designant.i1-IQ3_XS.gguf | GGUF | IQ3_XS | 11.73 GB | Download |
| Q3-30B-A3B-Designant.i1-IQ3_XXS.gguf | GGUF | IQ3_XXS | 11.04 GB | Download |
| Q3-30B-A3B-Designant.i1-IQ4_XS.gguf | GGUF | IQ4_XS | 15.24 GB | Download |
| Q3-30B-A3B-Designant.i1-Q2_K.gguf | GGUF | Q2_K | 10.49 GB | Download |
| Q3-30B-A3B-Designant.i1-Q3_K_L.gguf | GGUF | Q3_K_L | 14.81 GB | Download |
| Q3-30B-A3B-Designant.i1-Q3_K_M.gguf | GGUF | Q3_K_M | 13.70 GB | Download |
| Q3-30B-A3B-Designant.i1-Q3_K_S.gguf | GGUF | Q3_K_S | 12.38 GB | Download |
| Q3-30B-A3B-Designant.i1-Q4_0.gguf | GGUF | — | 16.19 GB | Download |
| Q3-30B-A3B-Designant.i1-Q4_1.gguf | GGUF | — | 17.87 GB | Download |
| Q3-30B-A3B-Designant.i1-Q4_K_M.gguf | GGUF | Q4_K_M | 17.28 GB | Download |
| Q3-30B-A3B-Designant.i1-Q4_K_S.gguf | GGUF | Q4_K_S | 16.26 GB | Download |
| Q3-30B-A3B-Designant.i1-Q5_K_M.gguf | GGUF | Q5_K_M | 20.23 GB | Download |
| Q3-30B-A3B-Designant.i1-Q5_K_S.gguf | GGUF | Q5_K_S | 19.63 GB | Download |
| Q3-30B-A3B-Designant.i1-Q6_K.gguf | GGUF | Q6_K | 23.37 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"base_model": "allura-org/Q3-30B-A3B-Designant",
"datasets": [
"PygmalionAI/PIPPA",
"Alfitaria/nemotron-ultra-reasoning-synthkink",
"PocketDoc/Dans-Prosemaxx-Gutenberg",
"FreedomIntelligence/Medical-R1-Distill-Data",
"cognitivecomputations/SystemChat-2.0",
"allenai/tulu-3-sft-personas-instruction-following",
"kalomaze/Opus_Instruct_25k",
"simplescaling/s1K-claude-3-7-sonnet",
"ai2-adapt-dev/flan_v2_converted",
"grimulkan/theory-of-mind",
"grimulkan/physical-reasoning",
"nvidia/HelpSteer3",
"nbeerbower/gutenberg2-dpo",
"nbeerbower/gutenberg-moderne-dpo",
"nbeerbower/Purpura-DPO",
"antiven0m/physical-reasoning-dpo",
"allenai/tulu-3-IF-augmented-on-policy-70b",
"NobodyExistsOnTheInternet/system-message-DPO"
],
"language": [
"en"
],
"library_name": "transformers",
"mradermacher": {
"readme_rev": 1
},
"quantized_by": "mradermacher",
"tags": [
"mergekit",
"axolotl",
"unsloth",
"roleplay",
"conversational"
],
"frontmatter": {
"base_model": "allura-org/Q3-30B-A3B-Designant",
"datasets": [
"PygmalionAI/PIPPA",
"Alfitaria/nemotron-ultra-reasoning-synthkink",
"PocketDoc/Dans-Prosemaxx-Gutenberg",
"FreedomIntelligence/Medical-R1-Distill-Data",
"cognitivecomputations/SystemChat-2.0",
"allenai/tulu-3-sft-personas-instruction-following",
"kalomaze/Opus_Instruct_25k",
"simplescaling/s1K-claude-3-7-sonnet",
"ai2-adapt-dev/flan_v2_converted",
"grimulkan/theory-of-mind",
"grimulkan/physical-reasoning",
"nvidia/HelpSteer3",
"nbeerbower/gutenberg2-dpo",
"nbeerbower/gutenberg-moderne-dpo",
"nbeerbower/Purpura-DPO",
"antiven0m/physical-reasoning-dpo",
"allenai/tulu-3-IF-augmented-on-policy-70b",
"NobodyExistsOnTheInternet/system-message-DPO"
],
"language": [
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],
"library_name": "transformers",
"mradermacher": [],
"quantized_by": "mradermacher",
"tags": [
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},
"hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
"summary": "## About weighted/imatrix quants of https://huggingface.co/allura-org/Q3-30B-A3B-Designant ***For a convenient overview and download list, visit our model page for this model.*** static quants are available at https://huggingface.co/mradermacher/Q3-30B-A3B-Designant-GGUF",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nbase_model: allura-org/Q3-30B-A3B-Designant\ndatasets:\n- PygmalionAI/PIPPA\n- Alfitaria/nemotron-ultra-reasoning-synthkink\n- PocketDoc/Dans-Prosemaxx-Gutenberg\n- FreedomIntelligence/Medical-R1-Distill-Data\n- cognitivecomputations/SystemChat-2.0\n- allenai/tulu-3-sft-personas-instruction-following\n- kalomaze/Opus_Instruct_25k\n- simplescaling/s1K-claude-3-7-sonnet\n- ai2-adapt-dev/flan_v2_converted\n- grimulkan/theory-of-mind\n- grimulkan/physical-reasoning\n- nvidia/HelpSteer3\n- nbeerbower/gutenberg2-dpo\n- nbeerbower/gutenberg-moderne-dpo\n- nbeerbower/Purpura-DPO\n- antiven0m/physical-reasoning-dpo\n- allenai/tulu-3-IF-augmented-on-policy-70b\n- NobodyExistsOnTheInternet/system-message-DPO\nlanguage:\n- en\nlibrary_name: transformers\nmradermacher:\n readme_rev: 1\nquantized_by: mradermacher\ntags:\n- mergekit\n- axolotl\n- unsloth\n- roleplay\n- conversational\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/allura-org/Q3-30B-A3B-Designant\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#Q3-30B-A3B-Designant-i1-GGUF).***\n\nstatic quants are available at https://huggingface.co/mradermacher/Q3-30B-A3B-Designant-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/Q3-30B-A3B-Designant-i1-GGUF/resolve/main/Q3-30B-A3B-Designant.i1-Q2_K.gguf) | i1-Q2_K | 11.4 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/Q3-30B-A3B-Designant-i1-GGUF/resolve/main/Q3-30B-A3B-Designant.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 11.9 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Q3-30B-A3B-Designant-i1-GGUF/resolve/main/Q3-30B-A3B-Designant.i1-IQ3_XS.gguf) | i1-IQ3_XS | 12.7 | |\n| [GGUF](https://huggingface.co/mradermacher/Q3-30B-A3B-Designant-i1-GGUF/resolve/main/Q3-30B-A3B-Designant.i1-Q3_K_S.gguf) | i1-Q3_K_S | 13.4 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/Q3-30B-A3B-Designant-i1-GGUF/resolve/main/Q3-30B-A3B-Designant.i1-IQ3_S.gguf) | i1-IQ3_S | 13.4 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/Q3-30B-A3B-Designant-i1-GGUF/resolve/main/Q3-30B-A3B-Designant.i1-IQ3_M.gguf) | i1-IQ3_M | 13.6 | |\n| [GGUF](https://huggingface.co/mradermacher/Q3-30B-A3B-Designant-i1-GGUF/resolve/main/Q3-30B-A3B-Designant.i1-Q3_K_M.gguf) | i1-Q3_K_M | 14.8 | IQ3_S probably better |\n| [GGUF](https://huggingface.co/mradermacher/Q3-30B-A3B-Designant-i1-GGUF/resolve/main/Q3-30B-A3B-Designant.i1-Q3_K_L.gguf) | i1-Q3_K_L | 16.0 | IQ3_M probably better |\n| [GGUF](https://huggingface.co/mradermacher/Q3-30B-A3B-Designant-i1-GGUF/resolve/main/Q3-30B-A3B-Designant.i1-IQ4_XS.gguf) | i1-IQ4_XS | 16.5 | |\n| [GGUF](https://huggingface.co/mradermacher/Q3-30B-A3B-Designant-i1-GGUF/resolve/main/Q3-30B-A3B-Designant.i1-Q4_0.gguf) | i1-Q4_0 | 17.5 | fast, low quality |\n| [GGUF](https://huggingface.co/mradermacher/Q3-30B-A3B-Designant-i1-GGUF/resolve/main/Q3-30B-A3B-Designant.i1-Q4_K_S.gguf) | i1-Q4_K_S | 17.6 | optimal size/speed/quality |\n| [GGUF](https://huggingface.co/mradermacher/Q3-30B-A3B-Designant-i1-GGUF/resolve/main/Q3-30B-A3B-Designant.i1-Q4_K_M.gguf) | i1-Q4_K_M | 18.7 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Q3-30B-A3B-Designant-i1-GGUF/resolve/main/Q3-30B-A3B-Designant.i1-Q4_1.gguf) | i1-Q4_1 | 19.3 | |\n| [GGUF](https://huggingface.co/mradermacher/Q3-30B-A3B-Designant-i1-GGUF/resolve/main/Q3-30B-A3B-Designant.i1-Q5_K_S.gguf) | i1-Q5_K_S | 21.2 | |\n| [GGUF](https://huggingface.co/mradermacher/Q3-30B-A3B-Designant-i1-GGUF/resolve/main/Q3-30B-A3B-Designant.i1-Q5_K_M.gguf) | i1-Q5_K_M | 21.8 | |\n| [GGUF](https://huggingface.co/mradermacher/Q3-30B-A3B-Designant-i1-GGUF/resolve/main/Q3-30B-A3B-Designant.i1-Q6_K.gguf) | i1-Q6_K | 25.2 | 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",
"mergekit",
"axolotl",
"unsloth",
"roleplay",
"conversational",
"en",
"dataset:PygmalionAI/PIPPA",
"dataset:Alfitaria/nemotron-ultra-reasoning-synthkink",
"dataset:PocketDoc/Dans-Prosemaxx-Gutenberg",
"dataset:FreedomIntelligence/Medical-R1-Distill-Data",
"dataset:cognitivecomputations/SystemChat-2.0",
"dataset:allenai/tulu-3-sft-personas-instruction-following",
"dataset:kalomaze/Opus_Instruct_25k",
"dataset:simplescaling/s1K-claude-3-7-sonnet",
"dataset:ai2-adapt-dev/flan_v2_converted",
"dataset:grimulkan/theory-of-mind",
"dataset:grimulkan/physical-reasoning",
"dataset:nvidia/HelpSteer3",
"dataset:nbeerbower/gutenberg2-dpo",
"dataset:nbeerbower/gutenberg-moderne-dpo",
"dataset:nbeerbower/Purpura-DPO",
"dataset:antiven0m/physical-reasoning-dpo",
"dataset:allenai/tulu-3-IF-augmented-on-policy-70b",
"dataset:NobodyExistsOnTheInternet/system-message-DPO",
"base_model:allura-org/Q3-30B-A3B-Designant",
"base_model:quantized:allura-org/Q3-30B-A3B-Designant",
"endpoints_compatible",
"region:us",
"imatrix"
],
"likes": 1,
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"last_modified": "2025-07-11T01:49:13.000Z",
"created_at": "2025-05-28T23:21:40.000Z",
"pipeline_tag": "",
"library_name": "transformers"
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Source payload excerpt (from Hugging Face API)
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