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mradermacher/atlas-pro-7b-preview-1m-gguf Q5_K_S 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/atlas-pro-7b-preview-1m-gguf overview

About static quants of https://huggingface.co/Spestly/Athena-3-7B-1M weighted/imatrix quants are available at https://huggingface.co/mradermacher/Atlas-Pro-7B-Preview-1M-i1-GGUF

transformersgguftext-generation-inferenceunslothqwen2trlenzhfresptdeitrujakovitharfahetrcsplhibnuridmslo
mradermacher/atlas-pro-7b-preview-1m-gguf visual
Downloads
111
Likes
4
Pipeline
Library
transformers
Visibility
Public
Access
Open

Repository Files & Downloads

12 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
Atlas-Pro-7B-Preview-1M.IQ4_XS.gguf GGUF IQ4_XS 3.96 GB Download
Atlas-Pro-7B-Preview-1M.Q2_K.gguf GGUF Q2_K 2.81 GB Download
Atlas-Pro-7B-Preview-1M.Q3_K_L.gguf GGUF Q3_K_L 3.81 GB Download
Atlas-Pro-7B-Preview-1M.Q3_K_M.gguf GGUF Q3_K_M 3.55 GB Download
Atlas-Pro-7B-Preview-1M.Q3_K_S.gguf GGUF Q3_K_S 3.25 GB Download
Atlas-Pro-7B-Preview-1M.Q4_K_M.gguf GGUF Q4_K_M 4.36 GB Download
Atlas-Pro-7B-Preview-1M.Q4_K_S.gguf GGUF Q4_K_S 4.15 GB Download
Atlas-Pro-7B-Preview-1M.Q5_K_M.gguf GGUF Q5_K_M 5.07 GB Download
Atlas-Pro-7B-Preview-1M.Q5_K_S.gguf GGUF Q5_K_S 4.95 GB Download
Atlas-Pro-7B-Preview-1M.Q6_K.gguf GGUF Q6_K 5.82 GB Download
Atlas-Pro-7B-Preview-1M.Q8_0.gguf GGUF 7.54 GB Download
Atlas-Pro-7B-Preview-1M.f16.gguf GGUF F16 14.19 GB Download

Model Details Live

Model Slug
mradermacher/atlas-pro-7b-preview-1m-gguf
Author
mradermacher
Pipeline Task
Library
transformers
Created
2025-01-27
Last Modified
2025-04-02
Gated
No
Private
No
HF SHA
7a00d85c2c93e83aa557f332efc09bce76d1dbce
License
mit
Language
en, zh, fr, es, pt, de, it, ru, ja, ko, vi, th, ar, fa, he, tr, cs, pl, hi, bn, ur, id, ms, lo, my, ceb, km, tl, nl
Base Model
Spestly/Athena-3-7B-1M

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "base_model": "Spestly/Athena-3-7B-1M",
    "datasets": [
      "prithivMLmods/PyCodeZone",
      "bespokelabs/Bespoke-Stratos-17k",
      "openai/gsm8k",
      "rubenroy/GammaCorpus-v1-50k-UNFILTERED"
    ],
    "extra_gated_fields": {
      "Country": "country",
      "Date of Birth": "date_picker",
      "I agree to use this model in accordance with all applicable laws and ethical guidelines": "checkbox",
      "I agree to use this model under the MIT licence": "checkbox",
      "Intended Use": {
        "options": [
          "Research",
          "Education",
          "Personal Development",
          "Commercial Use",
          {
            "label": "Other",
            "value": "other"
          }
        ],
        "type": "select"
      },
      "Name": "text",
      "Organization": "text"
    },
    "extra_gated_prompt": "By accessing this model, you agree to comply with ethical usage guidelines and accept full responsibility for its applications. You will not use this model for harmful, malicious, or illegal activities, and you understand that the model's use is subject to ongoing monitoring for misuse. This model is provided 'AS IS' and agreeing to this means that you are responsible for all the outputs generated by you",
    "language": [
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      "zh",
      "fr",
      "es",
      "pt",
      "de",
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      "pl",
      "hi",
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      "km",
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      "nl"
    ],
    "library_name": "transformers",
    "license": "mit",
    "quantized_by": "mradermacher",
    "tags": [
      "text-generation-inference",
      "transformers",
      "unsloth",
      "qwen2",
      "trl"
    ],
    "frontmatter": {
      "base_model": "Spestly/Athena-3-7B-1M",
      "datasets": [
        "prithivMLmods/PyCodeZone",
        "bespokelabs/Bespoke-Stratos-17k",
        "openai/gsm8k",
        "rubenroy/GammaCorpus-v1-50k-UNFILTERED"
      ],
      "extra_gated_fields": [
        "Research",
        "Education",
        "Personal Development",
        "Commercial Use",
        "label: Other"
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      "extra_gated_prompt": "By accessing this model, you agree to comply with ethical usage",
      "language": [
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        "nl"
      ],
      "library_name": "transformers",
      "license": "mit",
      "quantized_by": "mradermacher",
      "tags": [
        "text-generation-inference",
        "transformers",
        "unsloth",
        "qwen2",
        "trl"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About      static quants of https://huggingface.co/Spestly/Athena-3-7B-1M  weighted/imatrix quants are available at https://huggingface.co/mradermacher/Atlas-Pro-7B-Preview-1M-i1-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: Spestly/Athena-3-7B-1M\ndatasets:\n- prithivMLmods/PyCodeZone\n- bespokelabs/Bespoke-Stratos-17k\n- openai/gsm8k\n- rubenroy/GammaCorpus-v1-50k-UNFILTERED\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\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:  -->\nstatic quants of https://huggingface.co/Spestly/Athena-3-7B-1M\n\n<!-- provided-files -->\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/Atlas-Pro-7B-Preview-1M-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/Atlas-Pro-7B-Preview-1M-GGUF/resolve/main/Atlas-Pro-7B-Preview-1M.Q2_K.gguf) | Q2_K | 3.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/Atlas-Pro-7B-Preview-1M-GGUF/resolve/main/Atlas-Pro-7B-Preview-1M.Q3_K_S.gguf) | Q3_K_S | 3.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/Atlas-Pro-7B-Preview-1M-GGUF/resolve/main/Atlas-Pro-7B-Preview-1M.Q3_K_M.gguf) | Q3_K_M | 3.9 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Atlas-Pro-7B-Preview-1M-GGUF/resolve/main/Atlas-Pro-7B-Preview-1M.Q3_K_L.gguf) | Q3_K_L | 4.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/Atlas-Pro-7B-Preview-1M-GGUF/resolve/main/Atlas-Pro-7B-Preview-1M.IQ4_XS.gguf) | IQ4_XS | 4.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/Atlas-Pro-7B-Preview-1M-GGUF/resolve/main/Atlas-Pro-7B-Preview-1M.Q4_K_S.gguf) | Q4_K_S | 4.6 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Atlas-Pro-7B-Preview-1M-GGUF/resolve/main/Atlas-Pro-7B-Preview-1M.Q4_K_M.gguf) | Q4_K_M | 4.8 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Atlas-Pro-7B-Preview-1M-GGUF/resolve/main/Atlas-Pro-7B-Preview-1M.Q5_K_S.gguf) | Q5_K_S | 5.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/Atlas-Pro-7B-Preview-1M-GGUF/resolve/main/Atlas-Pro-7B-Preview-1M.Q5_K_M.gguf) | Q5_K_M | 5.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/Atlas-Pro-7B-Preview-1M-GGUF/resolve/main/Atlas-Pro-7B-Preview-1M.Q6_K.gguf) | Q6_K | 6.4 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/Atlas-Pro-7B-Preview-1M-GGUF/resolve/main/Atlas-Pro-7B-Preview-1M.Q8_0.gguf) | Q8_0 | 8.2 | fast, best quality |\n| [GGUF](https://huggingface.co/mradermacher/Atlas-Pro-7B-Preview-1M-GGUF/resolve/main/Atlas-Pro-7B-Preview-1M.f16.gguf) | f16 | 15.3 | 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",
    "related_quantizations": []
  },
  "tags": [
    "transformers",
    "gguf",
    "text-generation-inference",
    "unsloth",
    "qwen2",
    "trl",
    "en",
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    "id",
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    "nl",
    "dataset:prithivMLmods/PyCodeZone",
    "dataset:bespokelabs/Bespoke-Stratos-17k",
    "dataset:openai/gsm8k",
    "dataset:rubenroy/GammaCorpus-v1-50k-UNFILTERED",
    "base_model:Spestly/Athena-3-7B-1M",
    "base_model:quantized:Spestly/Athena-3-7B-1M",
    "license:mit",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 4,
  "downloads": 111,
  "gated": false,
  "private": false,
  "last_modified": "2025-04-02T22:15:19.000Z",
  "created_at": "2025-01-27T17:12:16.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
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