mradermacher/anita-next-24b-dolphin-mistral-uncensored-ita-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/anita-next-24b-dolphin-mistral-uncensored-ita-gguf overview
About static quants of https://huggingface.co/m-polignano/ANITA-NEXT-24B-Dolphin-Mistral-UNCENSORED-ITA For a convenient overview and download list, visit our model page for this model. weighted/imatrix quants are available at https://huggingface.co/mradermacher/ANITA-NEXT-24B-Dolphin-Mistral-UNCENSORED-ITA-i1-GGUF
Downloads
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Pipeline
—
Library
transformers
Visibility
Public
Access
Open
Repository Files & Downloads
11 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| ANITA-NEXT-24B-Dolphin-Mistral-UNCENSORED-ITA.IQ4_XS.gguf | GGUF | IQ4_XS | 12.00 GB | Download |
| ANITA-NEXT-24B-Dolphin-Mistral-UNCENSORED-ITA.Q2_K.gguf | GGUF | Q2_K | 8.28 GB | Download |
| ANITA-NEXT-24B-Dolphin-Mistral-UNCENSORED-ITA.Q3_K_L.gguf | GGUF | Q3_K_L | 11.55 GB | Download |
| ANITA-NEXT-24B-Dolphin-Mistral-UNCENSORED-ITA.Q3_K_M.gguf | GGUF | Q3_K_M | 10.69 GB | Download |
| ANITA-NEXT-24B-Dolphin-Mistral-UNCENSORED-ITA.Q3_K_S.gguf | GGUF | Q3_K_S | 9.69 GB | Download |
| ANITA-NEXT-24B-Dolphin-Mistral-UNCENSORED-ITA.Q4_K_M.gguf | GGUF | Q4_K_M | 13.35 GB | Download |
| ANITA-NEXT-24B-Dolphin-Mistral-UNCENSORED-ITA.Q4_K_S.gguf | GGUF | Q4_K_S | 12.62 GB | Download |
| ANITA-NEXT-24B-Dolphin-Mistral-UNCENSORED-ITA.Q5_K_M.gguf | GGUF | Q5_K_M | 15.61 GB | Download |
| ANITA-NEXT-24B-Dolphin-Mistral-UNCENSORED-ITA.Q5_K_S.gguf | GGUF | Q5_K_S | 15.18 GB | Download |
| ANITA-NEXT-24B-Dolphin-Mistral-UNCENSORED-ITA.Q6_K.gguf | GGUF | Q6_K | 18.02 GB | Download |
| ANITA-NEXT-24B-Dolphin-Mistral-UNCENSORED-ITA.Q8_0.gguf | GGUF | — | 23.33 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"base_model": "m-polignano/ANITA-NEXT-24B-Dolphin-Mistral-UNCENSORED-ITA",
"language": [
"en",
"it"
],
"library_name": "transformers",
"license": "apache-2.0",
"mradermacher": {
"readme_rev": 1
},
"quantized_by": "mradermacher",
"tags": [
"ita",
"italian",
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"magistral",
"24b",
"uniba",
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"frontmatter": {
"base_model": "m-polignano/ANITA-NEXT-24B-Dolphin-Mistral-UNCENSORED-ITA",
"language": [
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"library_name": "transformers",
"license": "apache-2.0",
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"quantized_by": "mradermacher",
"tags": [
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"hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
"summary": "## About static quants of https://huggingface.co/m-polignano/ANITA-NEXT-24B-Dolphin-Mistral-UNCENSORED-ITA ***For a convenient overview and download list, visit our model page for this model.*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/ANITA-NEXT-24B-Dolphin-Mistral-UNCENSORED-ITA-i1-GGUF",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nbase_model: m-polignano/ANITA-NEXT-24B-Dolphin-Mistral-UNCENSORED-ITA\nlanguage:\n- en\n- it\nlibrary_name: transformers\nlicense: apache-2.0\nmradermacher:\n readme_rev: 1\nquantized_by: mradermacher\ntags:\n- ita\n- italian\n- anita\n- magistral\n- 24b\n- uniba\n- bari\n- italy\n- italia\n- Conversational\n- LLaMantino\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type: -->\n<!-- ### tags: -->\n<!-- ### quants: x-f16 Q4_K_S Q2_K Q8_0 Q6_K Q3_K_M Q3_K_S Q3_K_L Q4_K_M Q5_K_S Q5_K_M IQ4_XS -->\n<!-- ### quants_skip: -->\n<!-- ### skip_mmproj: -->\nstatic quants of https://huggingface.co/m-polignano/ANITA-NEXT-24B-Dolphin-Mistral-UNCENSORED-ITA\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#ANITA-NEXT-24B-Dolphin-Mistral-UNCENSORED-ITA-GGUF).***\n\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/ANITA-NEXT-24B-Dolphin-Mistral-UNCENSORED-ITA-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/ANITA-NEXT-24B-Dolphin-Mistral-UNCENSORED-ITA-GGUF/resolve/main/ANITA-NEXT-24B-Dolphin-Mistral-UNCENSORED-ITA.Q2_K.gguf) | Q2_K | 9.0 | |\n| [GGUF](https://huggingface.co/mradermacher/ANITA-NEXT-24B-Dolphin-Mistral-UNCENSORED-ITA-GGUF/resolve/main/ANITA-NEXT-24B-Dolphin-Mistral-UNCENSORED-ITA.Q3_K_S.gguf) | Q3_K_S | 10.5 | |\n| [GGUF](https://huggingface.co/mradermacher/ANITA-NEXT-24B-Dolphin-Mistral-UNCENSORED-ITA-GGUF/resolve/main/ANITA-NEXT-24B-Dolphin-Mistral-UNCENSORED-ITA.Q3_K_M.gguf) | Q3_K_M | 11.6 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/ANITA-NEXT-24B-Dolphin-Mistral-UNCENSORED-ITA-GGUF/resolve/main/ANITA-NEXT-24B-Dolphin-Mistral-UNCENSORED-ITA.Q3_K_L.gguf) | Q3_K_L | 12.5 | |\n| [GGUF](https://huggingface.co/mradermacher/ANITA-NEXT-24B-Dolphin-Mistral-UNCENSORED-ITA-GGUF/resolve/main/ANITA-NEXT-24B-Dolphin-Mistral-UNCENSORED-ITA.IQ4_XS.gguf) | IQ4_XS | 13.0 | |\n| [GGUF](https://huggingface.co/mradermacher/ANITA-NEXT-24B-Dolphin-Mistral-UNCENSORED-ITA-GGUF/resolve/main/ANITA-NEXT-24B-Dolphin-Mistral-UNCENSORED-ITA.Q4_K_S.gguf) | Q4_K_S | 13.6 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/ANITA-NEXT-24B-Dolphin-Mistral-UNCENSORED-ITA-GGUF/resolve/main/ANITA-NEXT-24B-Dolphin-Mistral-UNCENSORED-ITA.Q4_K_M.gguf) | Q4_K_M | 14.4 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/ANITA-NEXT-24B-Dolphin-Mistral-UNCENSORED-ITA-GGUF/resolve/main/ANITA-NEXT-24B-Dolphin-Mistral-UNCENSORED-ITA.Q5_K_S.gguf) | Q5_K_S | 16.4 | |\n| [GGUF](https://huggingface.co/mradermacher/ANITA-NEXT-24B-Dolphin-Mistral-UNCENSORED-ITA-GGUF/resolve/main/ANITA-NEXT-24B-Dolphin-Mistral-UNCENSORED-ITA.Q5_K_M.gguf) | Q5_K_M | 16.9 | |\n| [GGUF](https://huggingface.co/mradermacher/ANITA-NEXT-24B-Dolphin-Mistral-UNCENSORED-ITA-GGUF/resolve/main/ANITA-NEXT-24B-Dolphin-Mistral-UNCENSORED-ITA.Q6_K.gguf) | Q6_K | 19.4 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/ANITA-NEXT-24B-Dolphin-Mistral-UNCENSORED-ITA-GGUF/resolve/main/ANITA-NEXT-24B-Dolphin-Mistral-UNCENSORED-ITA.Q8_0.gguf) | Q8_0 | 25.2 | 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",
"related_quantizations": []
},
"tags": [
"transformers",
"gguf",
"ita",
"italian",
"anita",
"magistral",
"24b",
"uniba",
"bari",
"italy",
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"Conversational",
"LLaMantino",
"en",
"it",
"base_model:m-polignano/ANITA-NEXT-24B-Dolphin-Mistral-UNCENSORED-ITA",
"base_model:quantized:m-polignano/ANITA-NEXT-24B-Dolphin-Mistral-UNCENSORED-ITA",
"license:apache-2.0",
"endpoints_compatible",
"region:us",
"conversational"
],
"likes": 0,
"downloads": 248,
"gated": false,
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"last_modified": "2025-09-28T14:00:59.000Z",
"created_at": "2025-09-24T19:31:19.000Z",
"pipeline_tag": "",
"library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
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"_id": "68d44707dd5fa43af1a2349a",
"id": "mradermacher/ANITA-NEXT-24B-Dolphin-Mistral-UNCENSORED-ITA-GGUF",
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"sha": "dab72047af31fd8a2a8c4f1325d0eca5451d570e",
"createdAt": "2025-09-24T19:31:19.000Z",
"lastModified": "2025-09-28T14:00:59.000Z",
"author": "mradermacher",
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}