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mradermacher/data-ai_chat_4_thinking_0.5b-gguf AI_Chat_4_Thinking_0.5B.Q8_0 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/data-ai_chat_4_thinking_0.5b-gguf overview

About static quants of https://huggingface.co/Mattimax/DATA-AIChat4Thinking0.5B For a convenient overview and download list, visit our model page for this model. weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.

transformersggufhuman-feedbackdata-aienesrudeplthvisvbndahefaskidnbelnlhueuzheojacacsbgfi
mradermacher/data-ai_chat_4_thinking_0.5b-gguf visual
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116
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0
Pipeline
Library
transformers
Visibility
Public
Access
Open

Repository Files & Downloads

12 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
DATA-AI_Chat_4_Thinking_0.5B.IQ4_XS.gguf GGUF IQ4_XS 335.16 MB Download
DATA-AI_Chat_4_Thinking_0.5B.Q2_K.gguf GGUF Q2_K 322.92 MB Download
DATA-AI_Chat_4_Thinking_0.5B.Q3_K_L.gguf GGUF Q3_K_L 352.25 MB Download
DATA-AI_Chat_4_Thinking_0.5B.Q3_K_M.gguf GGUF Q3_K_M 339.00 MB Download
DATA-AI_Chat_4_Thinking_0.5B.Q3_K_S.gguf GGUF Q3_K_S 322.59 MB Download
DATA-AI_Chat_4_Thinking_0.5B.Q4_K_M.gguf GGUF Q4_K_M 379.38 MB Download
DATA-AI_Chat_4_Thinking_0.5B.Q4_K_S.gguf GGUF Q4_K_S 367.61 MB Download
DATA-AI_Chat_4_Thinking_0.5B.Q5_K_M.gguf GGUF Q5_K_M 400.63 MB Download
DATA-AI_Chat_4_Thinking_0.5B.Q5_K_S.gguf GGUF Q5_K_S 393.59 MB Download
DATA-AI_Chat_4_Thinking_0.5B.Q6_K.gguf GGUF Q6_K 482.31 MB Download
DATA-AI_Chat_4_Thinking_0.5B.Q8_0.gguf GGUF 506.47 MB Download
DATA-AI_Chat_4_Thinking_0.5B.f16.gguf GGUF F16 948.10 MB Download

Model Details Live

Model Slug
mradermacher/data-ai_chat_4_thinking_0.5b-gguf
Author
mradermacher
Pipeline Task
Library
transformers
Created
2025-04-01
Last Modified
2025-07-11
Gated
No
Private
No
HF SHA
9a3d671df81c44861492f868086c96dbf2c12d90
License
apache-2.0
Language
it/, en, es, ru, de, pl, th, vi, sv, bn, da, he, fa, sk, id, nb, el, nl, hu, eu, zh, eo, ja, ca, cs, bg, fi, pt, tr, ro, ar, uk, gl, fr, ko
Base Model
Mattimax/DATA-AI_Chat_4_Thinking_0.5B

Metadata Inspector

Normalized metadata (stored in metadata_json)
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    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About      static quants of https://huggingface.co/Mattimax/DATA-AI_Chat_4_Thinking_0.5B  ***For a convenient overview and download list, visit our model page for this model.*** weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: Mattimax/DATA-AI_Chat_4_Thinking_0.5B\nlanguage:\n- it/\n- en\n- es\n- ru\n- de\n- pl\n- th\n- vi\n- sv\n- bn\n- da\n- he\n- fa\n- sk\n- id\n- nb\n- el\n- nl\n- hu\n- eu\n- zh\n- eo\n- ja\n- ca\n- cs\n- bg\n- fi\n- pt\n- tr\n- ro\n- ar\n- uk\n- gl\n- fr\n- ko\nlibrary_name: transformers\nlicense: apache-2.0\nmradermacher:\n  readme_rev: 1\nquantized_by: mradermacher\ntags:\n- human-feedback\n- data-ai\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/Mattimax/DATA-AI_Chat_4_Thinking_0.5B\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#DATA-AI_Chat_4_Thinking_0.5B-GGUF).***\n\nweighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.\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/DATA-AI_Chat_4_Thinking_0.5B-GGUF/resolve/main/DATA-AI_Chat_4_Thinking_0.5B.Q3_K_S.gguf) | Q3_K_S | 0.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/DATA-AI_Chat_4_Thinking_0.5B-GGUF/resolve/main/DATA-AI_Chat_4_Thinking_0.5B.Q2_K.gguf) | Q2_K | 0.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/DATA-AI_Chat_4_Thinking_0.5B-GGUF/resolve/main/DATA-AI_Chat_4_Thinking_0.5B.IQ4_XS.gguf) | IQ4_XS | 0.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/DATA-AI_Chat_4_Thinking_0.5B-GGUF/resolve/main/DATA-AI_Chat_4_Thinking_0.5B.Q3_K_M.gguf) | Q3_K_M | 0.5 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/DATA-AI_Chat_4_Thinking_0.5B-GGUF/resolve/main/DATA-AI_Chat_4_Thinking_0.5B.Q3_K_L.gguf) | Q3_K_L | 0.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/DATA-AI_Chat_4_Thinking_0.5B-GGUF/resolve/main/DATA-AI_Chat_4_Thinking_0.5B.Q4_K_S.gguf) | Q4_K_S | 0.5 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/DATA-AI_Chat_4_Thinking_0.5B-GGUF/resolve/main/DATA-AI_Chat_4_Thinking_0.5B.Q4_K_M.gguf) | Q4_K_M | 0.5 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/DATA-AI_Chat_4_Thinking_0.5B-GGUF/resolve/main/DATA-AI_Chat_4_Thinking_0.5B.Q5_K_S.gguf) | Q5_K_S | 0.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/DATA-AI_Chat_4_Thinking_0.5B-GGUF/resolve/main/DATA-AI_Chat_4_Thinking_0.5B.Q5_K_M.gguf) | Q5_K_M | 0.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/DATA-AI_Chat_4_Thinking_0.5B-GGUF/resolve/main/DATA-AI_Chat_4_Thinking_0.5B.Q6_K.gguf) | Q6_K | 0.6 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/DATA-AI_Chat_4_Thinking_0.5B-GGUF/resolve/main/DATA-AI_Chat_4_Thinking_0.5B.Q8_0.gguf) | Q8_0 | 0.6 | fast, best quality |\n| [GGUF](https://huggingface.co/mradermacher/DATA-AI_Chat_4_Thinking_0.5B-GGUF/resolve/main/DATA-AI_Chat_4_Thinking_0.5B.f16.gguf) | f16 | 1.1 | 16 bpw, overkill |\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.\n\n<!-- end -->\n",
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Source payload excerpt (from Hugging Face API)
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