mradermacher/athena-3-3b-gguf Q3_K_M 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/athena-3-3b-gguf overview
About static quants of https://huggingface.co/aayanmishra-ml/Athena-3-3B For a convenient overview and download list, visit our model page for this model. weighted/imatrix quants are available at https://huggingface.co/mradermacher/Athena-3-3B-i1-GGUF
Downloads
400
Likes
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 |
|---|---|---|---|---|
| Athena-3-3B.IQ4_XS.gguf | GGUF | IQ4_XS | 1.63 GB | Download |
| Athena-3-3B.Q2_K.gguf | GGUF | Q2_K | 1.19 GB | Download |
| Athena-3-3B.Q3_K_L.gguf | GGUF | Q3_K_L | 1.59 GB | Download |
| Athena-3-3B.Q3_K_M.gguf | GGUF | Q3_K_M | 1.48 GB | Download |
| Athena-3-3B.Q3_K_S.gguf | GGUF | Q3_K_S | 1.35 GB | Download |
| Athena-3-3B.Q4_K_M.gguf | GGUF | Q4_K_M | 1.80 GB | Download |
| Athena-3-3B.Q4_K_S.gguf | GGUF | Q4_K_S | 1.71 GB | Download |
| Athena-3-3B.Q5_K_M.gguf | GGUF | Q5_K_M | 2.07 GB | Download |
| Athena-3-3B.Q5_K_S.gguf | GGUF | Q5_K_S | 2.02 GB | Download |
| Athena-3-3B.Q6_K.gguf | GGUF | Q6_K | 2.36 GB | Download |
| Athena-3-3B.Q8_0.gguf | GGUF | — | 3.06 GB | Download |
| Athena-3-3B.f16.gguf | GGUF | F16 | 5.75 GB | Download |
Model Details Live
Metadata Inspector
Normalized metadata (stored in metadata_json)
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"base_model": "aayanmishra-ml/Athena-3-3B",
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"base_model": "aayanmishra-ml/Athena-3-3B",
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"summary": "## About static quants of https://huggingface.co/aayanmishra-ml/Athena-3-3B ***For a convenient overview and download list, visit our model page for this model.*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/Athena-3-3B-i1-GGUF",
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"readme_markdown": "---\nbase_model: aayanmishra-ml/Athena-3-3B\nlanguage:\n- en\n- zh\n- fr\n- es\n- pt\n- de\n- it\n- ru\n- ja\n- ko\n- vi\n- th\n- ar\n- fa\n- he\n- tr\n- cs\n- pl\n- hi\n- bn\n- ur\n- id\n- ms\n- lo\n- my\n- ceb\n- km\n- tl\n- nl\nlibrary_name: transformers\nlicense: mit\nmradermacher:\n readme_rev: 1\nquantized_by: mradermacher\ntags:\n- chemistry\n- biology\n- code\n- text-generation-inference\n- STEM\n- unsloth\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/aayanmishra-ml/Athena-3-3B\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#Athena-3-3B-GGUF).***\n\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/Athena-3-3B-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/Athena-3-3B-GGUF/resolve/main/Athena-3-3B.Q2_K.gguf) | Q2_K | 1.4 | |\n| [GGUF](https://huggingface.co/mradermacher/Athena-3-3B-GGUF/resolve/main/Athena-3-3B.Q3_K_S.gguf) | Q3_K_S | 1.6 | |\n| [GGUF](https://huggingface.co/mradermacher/Athena-3-3B-GGUF/resolve/main/Athena-3-3B.Q3_K_M.gguf) | Q3_K_M | 1.7 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Athena-3-3B-GGUF/resolve/main/Athena-3-3B.Q3_K_L.gguf) | Q3_K_L | 1.8 | |\n| [GGUF](https://huggingface.co/mradermacher/Athena-3-3B-GGUF/resolve/main/Athena-3-3B.IQ4_XS.gguf) | IQ4_XS | 1.9 | |\n| [GGUF](https://huggingface.co/mradermacher/Athena-3-3B-GGUF/resolve/main/Athena-3-3B.Q4_K_S.gguf) | Q4_K_S | 1.9 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Athena-3-3B-GGUF/resolve/main/Athena-3-3B.Q4_K_M.gguf) | Q4_K_M | 2.0 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Athena-3-3B-GGUF/resolve/main/Athena-3-3B.Q5_K_S.gguf) | Q5_K_S | 2.3 | |\n| [GGUF](https://huggingface.co/mradermacher/Athena-3-3B-GGUF/resolve/main/Athena-3-3B.Q5_K_M.gguf) | Q5_K_M | 2.3 | |\n| [GGUF](https://huggingface.co/mradermacher/Athena-3-3B-GGUF/resolve/main/Athena-3-3B.Q6_K.gguf) | Q6_K | 2.6 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/Athena-3-3B-GGUF/resolve/main/Athena-3-3B.Q8_0.gguf) | Q8_0 | 3.4 | fast, best quality |\n| [GGUF](https://huggingface.co/mradermacher/Athena-3-3B-GGUF/resolve/main/Athena-3-3B.f16.gguf) | f16 | 6.3 | 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",
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Source payload excerpt (from Hugging Face API)
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