mradermacher/agentic-qwen3-4b-e12-lr4-b2-unfiltered-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/agentic-qwen3-4b-e12-lr4-b2-unfiltered-gguf overview
About static quants of https://huggingface.co/akseljoonas/Agentic-Qwen3-4B-e12-lr4-b2-unfiltered 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.
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1
Pipeline
—
Library
transformers
Visibility
Public
Access
Open
Repository Files & Downloads
12 files detected
Direct downloads for all repository files
| File | Type | Quantization | Size | Link |
|---|---|---|---|---|
| Agentic-Qwen3-4B-e12-lr4-b2-unfiltered.IQ4_XS.gguf | GGUF | IQ4_XS | 2.13 GB | Download |
| Agentic-Qwen3-4B-e12-lr4-b2-unfiltered.Q2_K.gguf | GGUF | Q2_K | 1.55 GB | Download |
| Agentic-Qwen3-4B-e12-lr4-b2-unfiltered.Q3_K_L.gguf | GGUF | Q3_K_L | 2.09 GB | Download |
| Agentic-Qwen3-4B-e12-lr4-b2-unfiltered.Q3_K_M.gguf | GGUF | Q3_K_M | 1.93 GB | Download |
| Agentic-Qwen3-4B-e12-lr4-b2-unfiltered.Q3_K_S.gguf | GGUF | Q3_K_S | 1.76 GB | Download |
| Agentic-Qwen3-4B-e12-lr4-b2-unfiltered.Q4_K_M.gguf | GGUF | Q4_K_M | 2.33 GB | Download |
| Agentic-Qwen3-4B-e12-lr4-b2-unfiltered.Q4_K_S.gguf | GGUF | Q4_K_S | 2.22 GB | Download |
| Agentic-Qwen3-4B-e12-lr4-b2-unfiltered.Q5_K_M.gguf | GGUF | Q5_K_M | 2.69 GB | Download |
| Agentic-Qwen3-4B-e12-lr4-b2-unfiltered.Q5_K_S.gguf | GGUF | Q5_K_S | 2.63 GB | Download |
| Agentic-Qwen3-4B-e12-lr4-b2-unfiltered.Q6_K.gguf | GGUF | Q6_K | 3.08 GB | Download |
| Agentic-Qwen3-4B-e12-lr4-b2-unfiltered.Q8_0.gguf | GGUF | — | 3.99 GB | Download |
| Agentic-Qwen3-4B-e12-lr4-b2-unfiltered.f16.gguf | GGUF | F16 | 7.50 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
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"card_data": {
"base_model": "akseljoonas/Agentic-Qwen3-4B-e12-lr4-b2-unfiltered",
"datasets": "smolagents/codeagent-traces-unfiltered",
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"library_name": "transformers",
"model_name": "Agentic-Qwen3-4B-e12-lr4-b2-unfiltered",
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"base_model": "akseljoonas/Agentic-Qwen3-4B-e12-lr4-b2-unfiltered",
"datasets": "smolagents/codeagent-traces-unfiltered",
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"summary": "## About static quants of https://huggingface.co/akseljoonas/Agentic-Qwen3-4B-e12-lr4-b2-unfiltered ***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": [],
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"readme_markdown": "---\nbase_model: akseljoonas/Agentic-Qwen3-4B-e12-lr4-b2-unfiltered\ndatasets: smolagents/codeagent-traces-unfiltered\nlanguage:\n- en\nlibrary_name: transformers\nmodel_name: Agentic-Qwen3-4B-e12-lr4-b2-unfiltered\nmradermacher:\n readme_rev: 1\nquantized_by: mradermacher\ntags:\n- generated_from_trainer\n- open-r1\n- trl\n- sft\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/akseljoonas/Agentic-Qwen3-4B-e12-lr4-b2-unfiltered\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#Agentic-Qwen3-4B-e12-lr4-b2-unfiltered-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/Agentic-Qwen3-4B-e12-lr4-b2-unfiltered-GGUF/resolve/main/Agentic-Qwen3-4B-e12-lr4-b2-unfiltered.Q2_K.gguf) | Q2_K | 1.8 | |\n| [GGUF](https://huggingface.co/mradermacher/Agentic-Qwen3-4B-e12-lr4-b2-unfiltered-GGUF/resolve/main/Agentic-Qwen3-4B-e12-lr4-b2-unfiltered.Q3_K_S.gguf) | Q3_K_S | 2.0 | |\n| [GGUF](https://huggingface.co/mradermacher/Agentic-Qwen3-4B-e12-lr4-b2-unfiltered-GGUF/resolve/main/Agentic-Qwen3-4B-e12-lr4-b2-unfiltered.Q3_K_M.gguf) | Q3_K_M | 2.2 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Agentic-Qwen3-4B-e12-lr4-b2-unfiltered-GGUF/resolve/main/Agentic-Qwen3-4B-e12-lr4-b2-unfiltered.Q3_K_L.gguf) | Q3_K_L | 2.3 | |\n| [GGUF](https://huggingface.co/mradermacher/Agentic-Qwen3-4B-e12-lr4-b2-unfiltered-GGUF/resolve/main/Agentic-Qwen3-4B-e12-lr4-b2-unfiltered.IQ4_XS.gguf) | IQ4_XS | 2.4 | |\n| [GGUF](https://huggingface.co/mradermacher/Agentic-Qwen3-4B-e12-lr4-b2-unfiltered-GGUF/resolve/main/Agentic-Qwen3-4B-e12-lr4-b2-unfiltered.Q4_K_S.gguf) | Q4_K_S | 2.5 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Agentic-Qwen3-4B-e12-lr4-b2-unfiltered-GGUF/resolve/main/Agentic-Qwen3-4B-e12-lr4-b2-unfiltered.Q4_K_M.gguf) | Q4_K_M | 2.6 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Agentic-Qwen3-4B-e12-lr4-b2-unfiltered-GGUF/resolve/main/Agentic-Qwen3-4B-e12-lr4-b2-unfiltered.Q5_K_S.gguf) | Q5_K_S | 2.9 | |\n| [GGUF](https://huggingface.co/mradermacher/Agentic-Qwen3-4B-e12-lr4-b2-unfiltered-GGUF/resolve/main/Agentic-Qwen3-4B-e12-lr4-b2-unfiltered.Q5_K_M.gguf) | Q5_K_M | 3.0 | |\n| [GGUF](https://huggingface.co/mradermacher/Agentic-Qwen3-4B-e12-lr4-b2-unfiltered-GGUF/resolve/main/Agentic-Qwen3-4B-e12-lr4-b2-unfiltered.Q6_K.gguf) | Q6_K | 3.4 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/Agentic-Qwen3-4B-e12-lr4-b2-unfiltered-GGUF/resolve/main/Agentic-Qwen3-4B-e12-lr4-b2-unfiltered.Q8_0.gguf) | Q8_0 | 4.4 | fast, best quality |\n| [GGUF](https://huggingface.co/mradermacher/Agentic-Qwen3-4B-e12-lr4-b2-unfiltered-GGUF/resolve/main/Agentic-Qwen3-4B-e12-lr4-b2-unfiltered.f16.gguf) | f16 | 8.2 | 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": []
},
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"open-r1",
"trl",
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"base_model:akseljoonas/Agentic-Qwen3-4B-e12-lr4-b2-unfiltered",
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"endpoints_compatible",
"region:us"
],
"likes": 1,
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"gated": false,
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"last_modified": "2025-07-11T01:39:23.000Z",
"created_at": "2025-05-31T09:10:12.000Z",
"pipeline_tag": "",
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Source payload excerpt (from Hugging Face API)
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