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mradermacher/heisenbergq-0.5b-rl-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/heisenbergq-0.5b-rl-gguf overview

About static quants of https://huggingface.co/khazarai/HeisenbergQ-0.5B-RL 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.

transformersggufsftgrpounslothphysicsendataset:jilp00/YouToks-Instruct-Quantum-Physics-IIbase_model:khazarai/HeisenbergQ-0.5B-RLbase_model:quantized:khazarai/HeisenbergQ-0.5B-RLlicense:apache-2.0endpoints_compatibleregion:usconversational
mradermacher/heisenbergq-0.5b-rl-gguf visual
Downloads
691
Likes
1
Pipeline
Library
transformers
Visibility
Public
Access
Open

Repository Files & Downloads

12 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
HeisenbergQ-0.5B-RL.IQ4_XS.gguf GGUF IQ4_XS 335.17 MB Download
HeisenbergQ-0.5B-RL.Q2_K.gguf GGUF Q2_K 322.92 MB Download
HeisenbergQ-0.5B-RL.Q3_K_L.gguf GGUF Q3_K_L 352.25 MB Download
HeisenbergQ-0.5B-RL.Q3_K_M.gguf GGUF Q3_K_M 339.00 MB Download
HeisenbergQ-0.5B-RL.Q3_K_S.gguf GGUF Q3_K_S 322.59 MB Download
HeisenbergQ-0.5B-RL.Q4_K_M.gguf GGUF Q4_K_M 379.38 MB Download
HeisenbergQ-0.5B-RL.Q4_K_S.gguf GGUF Q4_K_S 367.62 MB Download
HeisenbergQ-0.5B-RL.Q5_K_M.gguf GGUF Q5_K_M 400.63 MB Download
HeisenbergQ-0.5B-RL.Q5_K_S.gguf GGUF Q5_K_S 393.59 MB Download
HeisenbergQ-0.5B-RL.Q6_K.gguf GGUF Q6_K 482.31 MB Download
HeisenbergQ-0.5B-RL.Q8_0.gguf GGUF 506.47 MB Download
HeisenbergQ-0.5B-RL.f16.gguf GGUF F16 948.10 MB Download

Model Details Live

Model Slug
mradermacher/heisenbergq-0.5b-rl-gguf
Author
mradermacher
Pipeline Task
Library
transformers
Created
2026-03-29
Last Modified
2026-03-29
Gated
No
Private
No
HF SHA
6426b96b151c7f8ed8f0915fa2b696b5edc5336c
License
apache-2.0
Language
en
Base Model
khazarai/HeisenbergQ-0.5B-RL

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "base_model": "khazarai/HeisenbergQ-0.5B-RL",
    "datasets": [
      "jilp00/YouToks-Instruct-Quantum-Physics-II"
    ],
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "sft",
      "grpo",
      "unsloth",
      "physics"
    ],
    "frontmatter": {
      "base_model": "khazarai/HeisenbergQ-0.5B-RL",
      "datasets": [
        "jilp00/YouToks-Instruct-Quantum-Physics-II"
      ],
      "language": [
        "en"
      ],
      "library_name": "transformers",
      "license": "apache-2.0",
      "mradermacher": [],
      "quantized_by": "mradermacher",
      "tags": [
        "sft",
        "grpo",
        "unsloth",
        "physics"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About         static quants of https://huggingface.co/khazarai/HeisenbergQ-0.5B-RL  ***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": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: khazarai/HeisenbergQ-0.5B-RL\ndatasets:\n- jilp00/YouToks-Instruct-Quantum-Physics-II\nlanguage:\n- en\nlibrary_name: transformers\nlicense: apache-2.0\nmradermacher:\n  readme_rev: 1\nquantized_by: mradermacher\ntags:\n- sft\n- grpo\n- unsloth\n- physics\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/khazarai/HeisenbergQ-0.5B-RL\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#HeisenbergQ-0.5B-RL-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/HeisenbergQ-0.5B-RL-GGUF/resolve/main/HeisenbergQ-0.5B-RL.Q3_K_S.gguf) | Q3_K_S | 0.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/HeisenbergQ-0.5B-RL-GGUF/resolve/main/HeisenbergQ-0.5B-RL.Q2_K.gguf) | Q2_K | 0.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/HeisenbergQ-0.5B-RL-GGUF/resolve/main/HeisenbergQ-0.5B-RL.IQ4_XS.gguf) | IQ4_XS | 0.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/HeisenbergQ-0.5B-RL-GGUF/resolve/main/HeisenbergQ-0.5B-RL.Q3_K_M.gguf) | Q3_K_M | 0.5 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/HeisenbergQ-0.5B-RL-GGUF/resolve/main/HeisenbergQ-0.5B-RL.Q3_K_L.gguf) | Q3_K_L | 0.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/HeisenbergQ-0.5B-RL-GGUF/resolve/main/HeisenbergQ-0.5B-RL.Q4_K_S.gguf) | Q4_K_S | 0.5 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/HeisenbergQ-0.5B-RL-GGUF/resolve/main/HeisenbergQ-0.5B-RL.Q4_K_M.gguf) | Q4_K_M | 0.5 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/HeisenbergQ-0.5B-RL-GGUF/resolve/main/HeisenbergQ-0.5B-RL.Q5_K_S.gguf) | Q5_K_S | 0.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/HeisenbergQ-0.5B-RL-GGUF/resolve/main/HeisenbergQ-0.5B-RL.Q5_K_M.gguf) | Q5_K_M | 0.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/HeisenbergQ-0.5B-RL-GGUF/resolve/main/HeisenbergQ-0.5B-RL.Q6_K.gguf) | Q6_K | 0.6 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/HeisenbergQ-0.5B-RL-GGUF/resolve/main/HeisenbergQ-0.5B-RL.Q8_0.gguf) | Q8_0 | 0.6 | fast, best quality |\n| [GGUF](https://huggingface.co/mradermacher/HeisenbergQ-0.5B-RL-GGUF/resolve/main/HeisenbergQ-0.5B-RL.f16.gguf) | f16 | 1.1 | 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",
    "sft",
    "grpo",
    "unsloth",
    "physics",
    "en",
    "dataset:jilp00/YouToks-Instruct-Quantum-Physics-II",
    "base_model:khazarai/HeisenbergQ-0.5B-RL",
    "base_model:quantized:khazarai/HeisenbergQ-0.5B-RL",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 1,
  "downloads": 691,
  "gated": false,
  "private": false,
  "last_modified": "2026-03-29T18:00:08.000Z",
  "created_at": "2026-03-29T17:57:42.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
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  "sha": "6426b96b151c7f8ed8f0915fa2b696b5edc5336c",
  "createdAt": "2026-03-29T17:57:42.000Z",
  "lastModified": "2026-03-29T18:00:08.000Z",
  "author": "mradermacher",
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