mradermacher/codegemma-7b-it-gguf overview

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    "base_model": "google/codegemma-7b-it",
    "extra_gated_button_content": "Acknowledge license",
    "extra_gated_heading": "Access CodeGemma on Hugging Face",
    "extra_gated_prompt": "To access CodeGemma 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",
    "license_link": "https://ai.google.dev/gemma/terms",
    "quantized_by": "mradermacher",
    "frontmatter": {
      "base_model": "google/codegemma-7b-it",
      "extra_gated_button_content": "Acknowledge license",
      "extra_gated_heading": "Access CodeGemma on Hugging Face",
      "extra_gated_prompt": "To access CodeGemma on Hugging Face, you’re required to review",
      "language": [
        "en"
      ],
      "library_name": "transformers",
      "license": "gemma",
      "license_link": "https://ai.google.dev/gemma/terms",
      "quantized_by": "mradermacher"
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About      static quants of https://huggingface.co/google/codegemma-7b-it  weighted/imatrix quants are available at https://huggingface.co/mradermacher/codegemma-7b-it-i1-GGUF",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: google/codegemma-7b-it\nextra_gated_button_content: Acknowledge license\nextra_gated_heading: Access CodeGemma on Hugging Face\nextra_gated_prompt: To access CodeGemma on Hugging Face, you’re required to review\n  and agree to Google’s usage license. To do this, please ensure you’re logged-in\n  to Hugging Face and click below. Requests are processed immediately.\nlanguage:\n- en\nlibrary_name: transformers\nlicense: gemma\nlicense_link: https://ai.google.dev/gemma/terms\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:  -->\nstatic quants of https://huggingface.co/google/codegemma-7b-it\n\n<!-- provided-files -->\nweighted/imatrix quants are available at https://huggingface.co/mradermacher/codegemma-7b-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/codegemma-7b-it-GGUF/resolve/main/codegemma-7b-it.Q2_K.gguf) | Q2_K | 3.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/codegemma-7b-it-GGUF/resolve/main/codegemma-7b-it.Q3_K_S.gguf) | Q3_K_S | 4.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/codegemma-7b-it-GGUF/resolve/main/codegemma-7b-it.Q3_K_M.gguf) | Q3_K_M | 4.5 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/codegemma-7b-it-GGUF/resolve/main/codegemma-7b-it.Q3_K_L.gguf) | Q3_K_L | 4.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/codegemma-7b-it-GGUF/resolve/main/codegemma-7b-it.IQ4_XS.gguf) | IQ4_XS | 4.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/codegemma-7b-it-GGUF/resolve/main/codegemma-7b-it.Q4_0_4_4.gguf) | Q4_0_4_4 | 5.1 | fast on arm, low quality |\n| [GGUF](https://huggingface.co/mradermacher/codegemma-7b-it-GGUF/resolve/main/codegemma-7b-it.Q4_K_S.gguf) | Q4_K_S | 5.1 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/codegemma-7b-it-GGUF/resolve/main/codegemma-7b-it.Q4_K_M.gguf) | Q4_K_M | 5.4 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/codegemma-7b-it-GGUF/resolve/main/codegemma-7b-it.Q5_K_S.gguf) | Q5_K_S | 6.1 |  |\n| [GGUF](https://huggingface.co/mradermacher/codegemma-7b-it-GGUF/resolve/main/codegemma-7b-it.Q5_K_M.gguf) | Q5_K_M | 6.2 |  |\n| [GGUF](https://huggingface.co/mradermacher/codegemma-7b-it-GGUF/resolve/main/codegemma-7b-it.Q6_K.gguf) | Q6_K | 7.1 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/codegemma-7b-it-GGUF/resolve/main/codegemma-7b-it.Q8_0.gguf) | Q8_0 | 9.2 | fast, best quality |\n| [GGUF](https://huggingface.co/mradermacher/codegemma-7b-it-GGUF/resolve/main/codegemma-7b-it.f16.gguf) | f16 | 17.2 | 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",
    "en",
    "base_model:google/codegemma-7b-it",
    "base_model:quantized:google/codegemma-7b-it",
    "license:gemma",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 1,
  "downloads": 95,
  "gated": false,
  "private": false,
  "last_modified": "2024-11-16T15:20:08.000Z",
  "created_at": "2024-11-16T14:26:56.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}

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