mradermacher/atlas-pro-1.5b-preview-i1-gguf overview

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      "base_model": "aayanmishra-ml/Athena-R3-1.5B",
      "datasets": [
        "openai/gsm8k",
        "HuggingFaceH4/ultrachat_200k"
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    "summary": "## About      weighted/imatrix quants of https://huggingface.co/aayanmishra-ml/Athena-R3-1.5B  ***For a convenient overview and download list, visit our model page for this model.*** static quants are available at https://huggingface.co/mradermacher/Atlas-Pro-1.5B-Preview-GGUF",
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    "readme_markdown": "---\nbase_model: aayanmishra-ml/Athena-R3-1.5B\ndatasets:\n- openai/gsm8k\n- HuggingFaceH4/ultrachat_200k\nextra_gated_fields:\n  Country: country\n  Date of Birth: date_picker\n  I agree to use this model in accordance with all applicable laws and ethical guidelines: checkbox\n  I agree to use this model under the MIT licence: checkbox\n  Intended Use:\n    options:\n    - Research\n    - Education\n    - Personal Development\n    - Commercial Use\n    - label: Other\n      value: other\n    type: select\n  Name: text\n  Organization: text\nextra_gated_prompt: By accessing this model, you agree to comply with ethical usage\n  guidelines and accept full responsibility for its applications. You will not use\n  this model for harmful, malicious, or illegal activities, and you understand that\n  the model's use is subject to ongoing monitoring for misuse. This model is provided\n  'AS IS' and agreeing to this means that you are responsible for all the outputs\n  generated by you\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- text-generation-inference\n- transformers\n- unsloth\n- qwen2\n- trl\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type:  -->\n<!-- ### tags: nicoboss -->\nweighted/imatrix quants of https://huggingface.co/aayanmishra-ml/Athena-R3-1.5B\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#Atlas-Pro-1.5B-Preview-i1-GGUF).***\n\nstatic quants are available at https://huggingface.co/mradermacher/Atlas-Pro-1.5B-Preview-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/Atlas-Pro-1.5B-Preview-i1-GGUF/resolve/main/Atlas-Pro-1.5B-Preview.i1-IQ1_S.gguf) | i1-IQ1_S | 0.6 | for the desperate |\n| [GGUF](https://huggingface.co/mradermacher/Atlas-Pro-1.5B-Preview-i1-GGUF/resolve/main/Atlas-Pro-1.5B-Preview.i1-IQ1_M.gguf) | i1-IQ1_M | 0.6 | mostly desperate |\n| [GGUF](https://huggingface.co/mradermacher/Atlas-Pro-1.5B-Preview-i1-GGUF/resolve/main/Atlas-Pro-1.5B-Preview.i1-IQ2_XXS.gguf) | i1-IQ2_XXS | 0.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/Atlas-Pro-1.5B-Preview-i1-GGUF/resolve/main/Atlas-Pro-1.5B-Preview.i1-IQ2_XS.gguf) | i1-IQ2_XS | 0.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/Atlas-Pro-1.5B-Preview-i1-GGUF/resolve/main/Atlas-Pro-1.5B-Preview.i1-IQ2_S.gguf) | i1-IQ2_S | 0.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Atlas-Pro-1.5B-Preview-i1-GGUF/resolve/main/Atlas-Pro-1.5B-Preview.i1-IQ2_M.gguf) | i1-IQ2_M | 0.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Atlas-Pro-1.5B-Preview-i1-GGUF/resolve/main/Atlas-Pro-1.5B-Preview.i1-Q2_K_S.gguf) | i1-Q2_K_S | 0.8 | very low quality |\n| [GGUF](https://huggingface.co/mradermacher/Atlas-Pro-1.5B-Preview-i1-GGUF/resolve/main/Atlas-Pro-1.5B-Preview.i1-Q2_K.gguf) | i1-Q2_K | 0.9 | IQ3_XXS probably better |\n| [GGUF](https://huggingface.co/mradermacher/Atlas-Pro-1.5B-Preview-i1-GGUF/resolve/main/Atlas-Pro-1.5B-Preview.i1-IQ3_XXS.gguf) | i1-IQ3_XXS | 0.9 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Atlas-Pro-1.5B-Preview-i1-GGUF/resolve/main/Atlas-Pro-1.5B-Preview.i1-IQ3_XS.gguf) | i1-IQ3_XS | 0.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/Atlas-Pro-1.5B-Preview-i1-GGUF/resolve/main/Atlas-Pro-1.5B-Preview.i1-Q3_K_S.gguf) | i1-Q3_K_S | 1.0 | IQ3_XS probably better |\n| [GGUF](https://huggingface.co/mradermacher/Atlas-Pro-1.5B-Preview-i1-GGUF/resolve/main/Atlas-Pro-1.5B-Preview.i1-IQ3_S.gguf) | i1-IQ3_S | 1.0 | beats Q3_K* |\n| [GGUF](https://huggingface.co/mradermacher/Atlas-Pro-1.5B-Preview-i1-GGUF/resolve/main/Atlas-Pro-1.5B-Preview.i1-IQ3_M.gguf) | i1-IQ3_M | 1.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/Atlas-Pro-1.5B-Preview-i1-GGUF/resolve/main/Atlas-Pro-1.5B-Preview.i1-Q3_K_M.gguf) | i1-Q3_K_M | 1.0 | IQ3_S probably better |\n| [GGUF](https://huggingface.co/mradermacher/Atlas-Pro-1.5B-Preview-i1-GGUF/resolve/main/Atlas-Pro-1.5B-Preview.i1-Q3_K_L.gguf) | i1-Q3_K_L | 1.1 | IQ3_M probably better |\n| [GGUF](https://huggingface.co/mradermacher/Atlas-Pro-1.5B-Preview-i1-GGUF/resolve/main/Atlas-Pro-1.5B-Preview.i1-IQ4_XS.gguf) | i1-IQ4_XS | 1.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/Atlas-Pro-1.5B-Preview-i1-GGUF/resolve/main/Atlas-Pro-1.5B-Preview.i1-IQ4_NL.gguf) | i1-IQ4_NL | 1.2 | prefer IQ4_XS |\n| [GGUF](https://huggingface.co/mradermacher/Atlas-Pro-1.5B-Preview-i1-GGUF/resolve/main/Atlas-Pro-1.5B-Preview.i1-Q4_0.gguf) | i1-Q4_0 | 1.2 | fast, low quality |\n| [GGUF](https://huggingface.co/mradermacher/Atlas-Pro-1.5B-Preview-i1-GGUF/resolve/main/Atlas-Pro-1.5B-Preview.i1-Q4_K_S.gguf) | i1-Q4_K_S | 1.2 | optimal size/speed/quality |\n| [GGUF](https://huggingface.co/mradermacher/Atlas-Pro-1.5B-Preview-i1-GGUF/resolve/main/Atlas-Pro-1.5B-Preview.i1-Q4_K_M.gguf) | i1-Q4_K_M | 1.2 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Atlas-Pro-1.5B-Preview-i1-GGUF/resolve/main/Atlas-Pro-1.5B-Preview.i1-Q4_1.gguf) | i1-Q4_1 | 1.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/Atlas-Pro-1.5B-Preview-i1-GGUF/resolve/main/Atlas-Pro-1.5B-Preview.i1-Q5_K_S.gguf) | i1-Q5_K_S | 1.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/Atlas-Pro-1.5B-Preview-i1-GGUF/resolve/main/Atlas-Pro-1.5B-Preview.i1-Q5_K_M.gguf) | i1-Q5_K_M | 1.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/Atlas-Pro-1.5B-Preview-i1-GGUF/resolve/main/Atlas-Pro-1.5B-Preview.i1-Q6_K.gguf) | i1-Q6_K | 1.6 | practically like static Q6_K |\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. Additional thanks to [@nicoboss](https://huggingface.co/nicoboss) for giving me access to his private supercomputer, enabling me to provide many more imatrix quants, at much higher quality, than I would otherwise be able to.\n\n<!-- end -->\n",
    "related_quantizations": []
  },
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    "dataset:openai/gsm8k",
    "dataset:HuggingFaceH4/ultrachat_200k",
    "base_model:aayanmishra-ml/Athena-R3-1.5B",
    "base_model:quantized:aayanmishra-ml/Athena-R3-1.5B",
    "license:mit",
    "endpoints_compatible",
    "region:us",
    "imatrix",
    "conversational"
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  "last_modified": "2026-04-17T14:45:44.000Z",
  "created_at": "2025-01-27T22:05:54.000Z",
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