mradermacher/qwen3-0.6b-distilled-30b-a3b-thinking-sft-gguf overview

{
  "metadata": {},
  "card_data": {
    "base_model": "reaperdoesntknow/Qwen3-0.6B-Distilled-30B-A3B-Thinking-SFT",
    "datasets": [
      "0xZee/dataset-CoT-Advanced-Calculus-268",
      "0xZee/dataset-CoT-Modern-Physics-177",
      "0xZee/dataset-CoT-Theoretical-Mechanics-307",
      "0xZee/dataset-CoT-Linear-Algebra-667",
      "0xZee/dataset-CoT-Electromagnetism-580",
      "0xZee/dataset-CoT-Molecular-Biology-71",
      "0xZee/dataset-CoT-Physiology-114",
      "0xZee/dataset-CoT-Classical-Mechanics-343",
      "0xZee/dataset-CoT-Differential-Equations-636",
      "0xZee/dataset-CoT-Physics-2254",
      "0xZee/dataset-CoT-Engineering-574",
      "0xZee/dataset-CoT-mathematics",
      "Alignment-Lab-AI/Lawyer-Instruct"
    ],
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "causal-lm",
      "text-generation",
      "distillation",
      "knowledge-distillation",
      "sft",
      "reasoning",
      "chain-of-thought",
      "mathematics",
      "physics",
      "engineering",
      "legal",
      "stem",
      "convergentintel",
      "edge"
    ],
    "frontmatter": {
      "base_model": "reaperdoesntknow/Qwen3-0.6B-Distilled-30B-A3B-Thinking-SFT",
      "datasets": [
        "0xZee/dataset-CoT-Advanced-Calculus-268",
        "0xZee/dataset-CoT-Modern-Physics-177",
        "0xZee/dataset-CoT-Theoretical-Mechanics-307",
        "0xZee/dataset-CoT-Linear-Algebra-667",
        "0xZee/dataset-CoT-Electromagnetism-580",
        "0xZee/dataset-CoT-Molecular-Biology-71",
        "0xZee/dataset-CoT-Physiology-114",
        "0xZee/dataset-CoT-Classical-Mechanics-343",
        "0xZee/dataset-CoT-Differential-Equations-636",
        "0xZee/dataset-CoT-Physics-2254",
        "0xZee/dataset-CoT-Engineering-574",
        "0xZee/dataset-CoT-mathematics",
        "Alignment-Lab-AI/Lawyer-Instruct"
      ],
      "language": [
        "en"
      ],
      "library_name": "transformers",
      "license": "apache-2.0",
      "mradermacher": [],
      "quantized_by": "mradermacher",
      "tags": [
        "causal-lm",
        "text-generation",
        "distillation",
        "knowledge-distillation",
        "sft",
        "reasoning",
        "chain-of-thought",
        "mathematics",
        "physics",
        "engineering",
        "legal",
        "stem",
        "convergentintel",
        "edge"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About         static quants of https://huggingface.co/reaperdoesntknow/Qwen3-0.6B-Distilled-30B-A3B-Thinking-SFT  ***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: reaperdoesntknow/Qwen3-0.6B-Distilled-30B-A3B-Thinking-SFT\ndatasets:\n- 0xZee/dataset-CoT-Advanced-Calculus-268\n- 0xZee/dataset-CoT-Modern-Physics-177\n- 0xZee/dataset-CoT-Theoretical-Mechanics-307\n- 0xZee/dataset-CoT-Linear-Algebra-667\n- 0xZee/dataset-CoT-Electromagnetism-580\n- 0xZee/dataset-CoT-Molecular-Biology-71\n- 0xZee/dataset-CoT-Physiology-114\n- 0xZee/dataset-CoT-Classical-Mechanics-343\n- 0xZee/dataset-CoT-Differential-Equations-636\n- 0xZee/dataset-CoT-Physics-2254\n- 0xZee/dataset-CoT-Engineering-574\n- 0xZee/dataset-CoT-mathematics\n- Alignment-Lab-AI/Lawyer-Instruct\nlanguage:\n- en\nlibrary_name: transformers\nlicense: apache-2.0\nmradermacher:\n  readme_rev: 1\nquantized_by: mradermacher\ntags:\n- causal-lm\n- text-generation\n- distillation\n- knowledge-distillation\n- sft\n- reasoning\n- chain-of-thought\n- mathematics\n- physics\n- engineering\n- legal\n- stem\n- convergentintel\n- edge\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/reaperdoesntknow/Qwen3-0.6B-Distilled-30B-A3B-Thinking-SFT\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#Qwen3-0.6B-Distilled-30B-A3B-Thinking-SFT-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/Qwen3-0.6B-Distilled-30B-A3B-Thinking-SFT-GGUF/resolve/main/Qwen3-0.6B-Distilled-30B-A3B-Thinking-SFT.Q2_K.gguf) | Q2_K | 0.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-0.6B-Distilled-30B-A3B-Thinking-SFT-GGUF/resolve/main/Qwen3-0.6B-Distilled-30B-A3B-Thinking-SFT.Q3_K_S.gguf) | Q3_K_S | 0.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-0.6B-Distilled-30B-A3B-Thinking-SFT-GGUF/resolve/main/Qwen3-0.6B-Distilled-30B-A3B-Thinking-SFT.Q3_K_M.gguf) | Q3_K_M | 0.5 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-0.6B-Distilled-30B-A3B-Thinking-SFT-GGUF/resolve/main/Qwen3-0.6B-Distilled-30B-A3B-Thinking-SFT.Q3_K_L.gguf) | Q3_K_L | 0.5 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-0.6B-Distilled-30B-A3B-Thinking-SFT-GGUF/resolve/main/Qwen3-0.6B-Distilled-30B-A3B-Thinking-SFT.IQ4_XS.gguf) | IQ4_XS | 0.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-0.6B-Distilled-30B-A3B-Thinking-SFT-GGUF/resolve/main/Qwen3-0.6B-Distilled-30B-A3B-Thinking-SFT.Q4_K_S.gguf) | Q4_K_S | 0.6 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-0.6B-Distilled-30B-A3B-Thinking-SFT-GGUF/resolve/main/Qwen3-0.6B-Distilled-30B-A3B-Thinking-SFT.Q4_K_M.gguf) | Q4_K_M | 0.6 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-0.6B-Distilled-30B-A3B-Thinking-SFT-GGUF/resolve/main/Qwen3-0.6B-Distilled-30B-A3B-Thinking-SFT.Q5_K_S.gguf) | Q5_K_S | 0.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-0.6B-Distilled-30B-A3B-Thinking-SFT-GGUF/resolve/main/Qwen3-0.6B-Distilled-30B-A3B-Thinking-SFT.Q5_K_M.gguf) | Q5_K_M | 0.7 |  |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-0.6B-Distilled-30B-A3B-Thinking-SFT-GGUF/resolve/main/Qwen3-0.6B-Distilled-30B-A3B-Thinking-SFT.Q6_K.gguf) | Q6_K | 0.7 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-0.6B-Distilled-30B-A3B-Thinking-SFT-GGUF/resolve/main/Qwen3-0.6B-Distilled-30B-A3B-Thinking-SFT.Q8_0.gguf) | Q8_0 | 0.9 | fast, best quality |\n| [GGUF](https://huggingface.co/mradermacher/Qwen3-0.6B-Distilled-30B-A3B-Thinking-SFT-GGUF/resolve/main/Qwen3-0.6B-Distilled-30B-A3B-Thinking-SFT.f16.gguf) | f16 | 1.6 | 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",
    "causal-lm",
    "text-generation",
    "distillation",
    "knowledge-distillation",
    "sft",
    "reasoning",
    "chain-of-thought",
    "mathematics",
    "physics",
    "engineering",
    "legal",
    "stem",
    "convergentintel",
    "edge",
    "en",
    "dataset:0xZee/dataset-CoT-Advanced-Calculus-268",
    "dataset:0xZee/dataset-CoT-Modern-Physics-177",
    "dataset:0xZee/dataset-CoT-Theoretical-Mechanics-307",
    "dataset:0xZee/dataset-CoT-Linear-Algebra-667",
    "dataset:0xZee/dataset-CoT-Electromagnetism-580",
    "dataset:0xZee/dataset-CoT-Molecular-Biology-71",
    "dataset:0xZee/dataset-CoT-Physiology-114",
    "dataset:0xZee/dataset-CoT-Classical-Mechanics-343",
    "dataset:0xZee/dataset-CoT-Differential-Equations-636",
    "dataset:0xZee/dataset-CoT-Physics-2254",
    "dataset:0xZee/dataset-CoT-Engineering-574",
    "dataset:0xZee/dataset-CoT-mathematics",
    "dataset:Alignment-Lab-AI/Lawyer-Instruct",
    "base_model:reaperdoesntknow/Qwen3-0.6B-Distilled-30B-A3B-Thinking-SFT",
    "base_model:quantized:reaperdoesntknow/Qwen3-0.6B-Distilled-30B-A3B-Thinking-SFT",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 0,
  "downloads": 877,
  "gated": false,
  "private": false,
  "last_modified": "2026-03-31T18:42:32.000Z",
  "created_at": "2026-03-22T16:04:19.000Z",
  "pipeline_tag": "text-generation",
  "library_name": "transformers"
}

{
  "_id": "69c01303046cd4daeb8b120c",
  "id": "mradermacher/Qwen3-0.6B-Distilled-30B-A3B-Thinking-SFT-GGUF",
  "modelId": "mradermacher/Qwen3-0.6B-Distilled-30B-A3B-Thinking-SFT-GGUF",
  "sha": "879bdea7ba1fe0b410806ee0cf584fb1e233811d",
  "createdAt": "2026-03-22T16:04:19.000Z",
  "lastModified": "2026-03-31T18:42:32.000Z",
  "author": "mradermacher",
  "downloads": 877,
  "likes": 0,
  "gated": false,
  "private": false,
  "pipeline_tag": "text-generation",
  "library_name": "transformers",
  "siblings_count": 14
}