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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

transformersggufmergekitaxolotlunslothroleplayconversationalendataset:PygmalionAI/PIPPAdataset:Alfitaria/nemotron-ultra-reasoning-synthkinkdataset:PocketDoc/Dans-Prosemaxx-Gutenbergdataset:FreedomIntelligence/Medical-R1-Distill-Datadataset:cognitivecomputations/SystemChat-2.0dataset:allenai/tulu-3-sft-personas-instruction-followingdataset:kalomaze/Opus_Instruct_25kdataset:simplescaling/s1K-claude-3-7-sonnetdataset:ai2-adapt-dev/flan_v2_converteddataset:grimulkan/theory-of-minddataset:grimulkan/physical-reasoningdataset:nvidia/HelpSteer3dataset:nbeerbower/gutenberg2-dpodataset:nbeerbower/gutenberg-moderne-dpodataset:nbeerbower/Purpura-DPOdataset:antiven0m/physical-reasoning-dpodataset:allenai/tulu-3-IF-augmented-on-policy-70bdataset:NobodyExistsOnTheInternet/system-message-DPObase_model:allura-org/Q3-30B-A3B-Designantbase_model:quantized:allura-org/Q3-30B-A3B-Designantendpoints_compatibleregion:us
mradermacher/q3-30b-a3b-designant-i1-gguf visual
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265
Likes
1
Pipeline
Library
transformers
Visibility
Public
Access
Open

Repository Files & Downloads

16 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
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

Model Slug
mradermacher/q3-30b-a3b-designant-i1-gguf
Author
mradermacher
Pipeline Task
Library
transformers
Created
2025-05-28
Last Modified
2025-07-11
Gated
No
Private
No
HF SHA
0e4a0bb28927c94357d9b8e3b3eafc3befd27a1b
License
Unknown
Language
en
Base Model
allura-org/Q3-30B-A3B-Designant

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": [
        "en"
      ],
      "library_name": "transformers",
      "mradermacher": [],
      "quantized_by": "mradermacher",
      "tags": [
        "mergekit",
        "axolotl",
        "unsloth",
        "roleplay",
        "conversational"
      ]
    },
    "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![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)\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,
  "downloads": 265,
  "gated": false,
  "private": false,
  "last_modified": "2025-07-11T01:49:13.000Z",
  "created_at": "2025-05-28T23:21:40.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
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  "createdAt": "2025-05-28T23:21:40.000Z",
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