mradermacher/cicikus_v2_3b-gguf IQ4_XS 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/cicikus_v2_3b-gguf overview
About static quants of https://huggingface.co/pthinc/Cicikusv23B For a convenient overview and download list, visit our model page for this model. weighted/imatrix quants are available at https://huggingface.co/mradermacher/Cicikusv23B-i1-GGUF
Downloads
92
Likes
1
Pipeline
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Library
transformers
Visibility
Public
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Open
Repository Files & Downloads
12 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Cicikus_v2_3B.IQ4_XS.gguf | GGUF | IQ4_XS | 1.71 GB | Download |
| Cicikus_v2_3B.Q2_K.gguf | GGUF | Q2_K | 1.27 GB | Download |
| Cicikus_v2_3B.Q3_K_L.gguf | GGUF | Q3_K_L | 1.69 GB | Download |
| Cicikus_v2_3B.Q3_K_M.gguf | GGUF | Q3_K_M | 1.57 GB | Download |
| Cicikus_v2_3B.Q3_K_S.gguf | GGUF | Q3_K_S | 1.44 GB | Download |
| Cicikus_v2_3B.Q4_K_M.gguf | GGUF | Q4_K_M | 1.88 GB | Download |
| Cicikus_v2_3B.Q4_K_S.gguf | GGUF | Q4_K_S | 1.80 GB | Download |
| Cicikus_v2_3B.Q5_K_M.gguf | GGUF | Q5_K_M | 2.16 GB | Download |
| Cicikus_v2_3B.Q5_K_S.gguf | GGUF | Q5_K_S | 2.11 GB | Download |
| Cicikus_v2_3B.Q6_K.gguf | GGUF | Q6_K | 2.46 GB | Download |
| Cicikus_v2_3B.Q8_0.gguf | GGUF | — | 3.19 GB | Download |
| Cicikus_v2_3B.f16.gguf | GGUF | F16 | 5.99 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
{
"metadata": {},
"card_data": {
"base_model": "pthinc/Cicikus_v2_3B",
"datasets": [
"pthinc/BCE-Prettybird-Micro-Standard-v0.0.1",
"Alibaba-Apsara/Superior-Reasoning-SFT-gpt-oss-120b",
"pthinc/turkish_english_general_dataset",
"galaxyMindAiLabs/stem-reasoning-complex"
],
"language": [
"en",
"tr"
],
"library_name": "transformers",
"license": "other",
"mradermacher": {
"readme_rev": 1
},
"quantized_by": "mradermacher",
"tags": [
"chat",
"text-generation-inference",
"agent",
"cicikuş",
"cicikus",
"prettybird",
"bce",
"consciousness",
"conscious",
"llm",
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"STEM-expert",
"turkish & english",
"bce-aci",
"llama-3.2",
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"instruct"
],
"frontmatter": {
"base_model": "pthinc/Cicikus_v2_3B",
"datasets": [
"pthinc/BCE-Prettybird-Micro-Standard-v0.0.1",
"Alibaba-Apsara/Superior-Reasoning-SFT-gpt-oss-120b",
"pthinc/turkish_english_general_dataset",
"galaxyMindAiLabs/stem-reasoning-complex"
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"language": [
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"license": "other",
"mradermacher": [],
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"tags": [
"chat",
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"agent",
"cicikuş",
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"prettybird",
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},
"hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
"summary": "## About static quants of https://huggingface.co/pthinc/Cicikus_v2_3B ***For a convenient overview and download list, visit our model page for this model.*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/Cicikus_v2_3B-i1-GGUF",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nbase_model: pthinc/Cicikus_v2_3B\ndatasets:\n- pthinc/BCE-Prettybird-Micro-Standard-v0.0.1\n- Alibaba-Apsara/Superior-Reasoning-SFT-gpt-oss-120b\n- pthinc/turkish_english_general_dataset\n- galaxyMindAiLabs/stem-reasoning-complex\nlanguage:\n- en\n- tr\nlibrary_name: transformers\nlicense: other\nmradermacher:\n readme_rev: 1\nquantized_by: mradermacher\ntags:\n- chat\n- text-generation-inference\n- agent\n- cicikuş\n- cicikus\n- prettybird\n- bce\n- consciousness\n- conscious\n- llm\n- transformers\n- optimized\n- ethic\n- secure\n- turkish\n- english\n- behavioral-consciousness-engine\n- model\n- reasoning\n- think\n- thinking\n- chain-of-thought\n- STEM-expert\n- turkish & english\n- bce-aci\n- llama-3.2\n- edge-ai\n- trl\n- unsloth\n- instruct\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/pthinc/Cicikus_v2_3B\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#Cicikus_v2_3B-GGUF).***\n\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/Cicikus_v2_3B-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/Cicikus_v2_3B-GGUF/resolve/main/Cicikus_v2_3B.Q2_K.gguf) | Q2_K | 1.5 | |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus_v2_3B-GGUF/resolve/main/Cicikus_v2_3B.Q3_K_S.gguf) | Q3_K_S | 1.6 | |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus_v2_3B-GGUF/resolve/main/Cicikus_v2_3B.Q3_K_M.gguf) | Q3_K_M | 1.8 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus_v2_3B-GGUF/resolve/main/Cicikus_v2_3B.Q3_K_L.gguf) | Q3_K_L | 1.9 | |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus_v2_3B-GGUF/resolve/main/Cicikus_v2_3B.IQ4_XS.gguf) | IQ4_XS | 1.9 | |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus_v2_3B-GGUF/resolve/main/Cicikus_v2_3B.Q4_K_S.gguf) | Q4_K_S | 2.0 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus_v2_3B-GGUF/resolve/main/Cicikus_v2_3B.Q4_K_M.gguf) | Q4_K_M | 2.1 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus_v2_3B-GGUF/resolve/main/Cicikus_v2_3B.Q5_K_S.gguf) | Q5_K_S | 2.4 | |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus_v2_3B-GGUF/resolve/main/Cicikus_v2_3B.Q5_K_M.gguf) | Q5_K_M | 2.4 | |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus_v2_3B-GGUF/resolve/main/Cicikus_v2_3B.Q6_K.gguf) | Q6_K | 2.7 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus_v2_3B-GGUF/resolve/main/Cicikus_v2_3B.Q8_0.gguf) | Q8_0 | 3.5 | fast, best quality |\n| [GGUF](https://huggingface.co/mradermacher/Cicikus_v2_3B-GGUF/resolve/main/Cicikus_v2_3B.f16.gguf) | f16 | 6.5 | 16 bpw, overkill |\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",
"chat",
"text-generation-inference",
"agent",
"cicikuş",
"cicikus",
"prettybird",
"bce",
"consciousness",
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"llm",
"optimized",
"ethic",
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"turkish",
"english",
"behavioral-consciousness-engine",
"model",
"reasoning",
"think",
"thinking",
"chain-of-thought",
"STEM-expert",
"turkish & english",
"bce-aci",
"llama-3.2",
"edge-ai",
"trl",
"unsloth",
"instruct",
"en",
"tr",
"dataset:pthinc/BCE-Prettybird-Micro-Standard-v0.0.1",
"dataset:Alibaba-Apsara/Superior-Reasoning-SFT-gpt-oss-120b",
"dataset:pthinc/turkish_english_general_dataset",
"dataset:galaxyMindAiLabs/stem-reasoning-complex",
"base_model:pthinc/Cicikus_v2_3B",
"base_model:quantized:pthinc/Cicikus_v2_3B",
"license:other",
"endpoints_compatible",
"region:us"
],
"likes": 1,
"downloads": 92,
"gated": false,
"private": false,
"last_modified": "2026-03-13T03:12:04.000Z",
"created_at": "2026-03-08T00:55:31.000Z",
"pipeline_tag": "",
"library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
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