mradermacher/translategemma-27b-it-gguf overview

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  "card_data": {
    "base_model": "google/translategemma-27b-it",
    "extra_gated_button_content": "Acknowledge license",
    "extra_gated_heading": "Access Gemma on Hugging Face",
    "extra_gated_prompt": "To access Gemma on Hugging Face, you’re required to review and agree to Google’s usage license. To do this, please ensure you’re logged in to Hugging Face and click below. Requests are processed immediately.",
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "gemma",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "frontmatter": {
      "base_model": "google/translategemma-27b-it",
      "extra_gated_button_content": "Acknowledge license",
      "extra_gated_heading": "Access Gemma on Hugging Face",
      "extra_gated_prompt": "To access Gemma on Hugging Face, you’re required to review and",
      "language": [
        "en"
      ],
      "library_name": "transformers",
      "license": "gemma",
      "mradermacher": [],
      "quantized_by": "mradermacher"
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About         static quants of https://huggingface.co/google/translategemma-27b-it  ***For a convenient overview and download list, visit our model page for this model.*** weighted/imatrix quants are available at https://huggingface.co/mradermacher/translategemma-27b-it-i1-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: google/translategemma-27b-it\nextra_gated_button_content: Acknowledge license\nextra_gated_heading: Access Gemma on Hugging Face\nextra_gated_prompt: To access Gemma on Hugging Face, you’re required to review and\n  agree to Google’s usage license. To do this, please ensure you’re logged in to Hugging\n  Face and click below. Requests are processed immediately.\nlanguage:\n- en\nlibrary_name: transformers\nlicense: gemma\nmradermacher:\n  readme_rev: 1\nquantized_by: mradermacher\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/google/translategemma-27b-it\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#translategemma-27b-it-GGUF).***\n\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/translategemma-27b-it-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/translategemma-27b-it-GGUF/resolve/main/translategemma-27b-it.mmproj-Q8_0.gguf) | mmproj-Q8_0 | 0.7 | multi-modal supplement |\n| [GGUF](https://huggingface.co/mradermacher/translategemma-27b-it-GGUF/resolve/main/translategemma-27b-it.mmproj-f16.gguf) | mmproj-f16 | 1.0 | multi-modal supplement |\n| [GGUF](https://huggingface.co/mradermacher/translategemma-27b-it-GGUF/resolve/main/translategemma-27b-it.Q2_K.gguf) | Q2_K | 10.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/translategemma-27b-it-GGUF/resolve/main/translategemma-27b-it.Q3_K_S.gguf) | Q3_K_S | 12.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/translategemma-27b-it-GGUF/resolve/main/translategemma-27b-it.Q3_K_M.gguf) | Q3_K_M | 13.5 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/translategemma-27b-it-GGUF/resolve/main/translategemma-27b-it.Q3_K_L.gguf) | Q3_K_L | 14.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/translategemma-27b-it-GGUF/resolve/main/translategemma-27b-it.IQ4_XS.gguf) | IQ4_XS | 15.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/translategemma-27b-it-GGUF/resolve/main/translategemma-27b-it.Q4_K_S.gguf) | Q4_K_S | 15.8 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/translategemma-27b-it-GGUF/resolve/main/translategemma-27b-it.Q4_K_M.gguf) | Q4_K_M | 16.6 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/translategemma-27b-it-GGUF/resolve/main/translategemma-27b-it.Q5_K_S.gguf) | Q5_K_S | 18.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/translategemma-27b-it-GGUF/resolve/main/translategemma-27b-it.Q5_K_M.gguf) | Q5_K_M | 19.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/translategemma-27b-it-GGUF/resolve/main/translategemma-27b-it.Q6_K.gguf) | Q6_K | 22.3 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/translategemma-27b-it-GGUF/resolve/main/translategemma-27b-it.Q8_0.gguf) | Q8_0 | 28.8 | fast, best quality |\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",
    "en",
    "base_model:google/translategemma-27b-it",
    "base_model:quantized:google/translategemma-27b-it",
    "license:gemma",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 1,
  "downloads": 2306,
  "gated": false,
  "private": false,
  "last_modified": "2026-01-16T10:44:57.000Z",
  "created_at": "2026-01-16T07:23:32.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}

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