lmstudio-community/codegemma-1.1-7b-it-gguf overview

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    "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.",
    "extra_gated_button_content": "Acknowledge license",
    "pipeline_tag": "text-generation",
    "widget": [
      {
        "text": "<start_of_turn>user Write a Python function to calculate the nth fibonacci number.<end_of_turn> <start_of_turn>model\n"
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    "inference": {
      "parameters": {
        "max_new_tokens": 200
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    "license": "gemma",
    "license_link": "https://ai.google.dev/gemma/terms",
    "quantized_by": "bartowski",
    "base_model": "google/codegemma-1.1-7b-it",
    "lm_studio": {
      "param_count": "8b",
      "use_case": "coding",
      "release_date": "30-04-2024",
      "model_creator": "google",
      "prompt_template": "Google Gemma Instruct",
      "system_prompt": "none",
      "base_model": "gemma",
      "original_repo": "google/codegemma-1.1-7b-it"
    },
    "frontmatter": {
      "library_name": "transformers",
      "extra_gated_heading": "Access CodeGemma on Hugging Face",
      "extra_gated_prompt": ">-",
      "extra_gated_button_content": "Acknowledge license",
      "pipeline_tag": "text-generation",
      "widget": [
        "text: >"
      ],
      "inference": [],
      "license": "gemma",
      "license_link": "https://ai.google.dev/gemma/terms",
      "quantized_by": "bartowski",
      "base_model": "google/codegemma-1.1-7b-it",
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    "readme_markdown": "---\nlibrary_name: transformers\nextra_gated_heading: Access CodeGemma on Hugging Face\nextra_gated_prompt: >-\n  To access CodeGemma on Hugging Face, you’re required to review and agree to\n  Google’s usage license. To do this, please ensure you’re logged-in to Hugging\n  Face and click below. Requests are processed immediately.\nextra_gated_button_content: Acknowledge license\npipeline_tag: text-generation\nwidget:\n- text: >\n    <start_of_turn>user\n    Write a Python function to calculate the nth fibonacci number.<end_of_turn>\n    <start_of_turn>model\ninference:\n  parameters:\n    max_new_tokens: 200\nlicense: gemma\nlicense_link: https://ai.google.dev/gemma/terms\nquantized_by: bartowski\nbase_model: google/codegemma-1.1-7b-it\nlm_studio:\n  param_count: 8b\n  use_case: coding\n  release_date: 30-04-2024\n  model_creator: google\n  prompt_template: Google Gemma Instruct\n  system_prompt: none\n  base_model: gemma\n  original_repo: google/codegemma-1.1-7b-it\n---\n\n## 💫 Community Model> CodeGemma 1.1 7b Instruct by Google\n\n*👾 [LM Studio](https://lmstudio.ai) Community models highlights program. Highlighting new & noteworthy models by the community. Join the conversation on [Discord](https://discord.gg/aPQfnNkxGC)*.\n\n**Model creator:** [Google](https://huggingface.co/google)<br>\n**Original model**: [google/codegemma-1.1-7b-it](https://huggingface.co/google/codegemma-1.1-7b-it)<br>\n**GGUF quantization:** provided by [bartowski](https://huggingface.co/bartowski) based on `llama.cpp` release [b2777](https://github.com/ggerganov/llama.cpp/releases/tag/b2777)<br>\n\n## Model Summary:\nCodeGemma 1.1 7b Instruct is an iteration on the initial CodeGemma release. It should come with minor improvements to code generation.<br>\nThis model is meant to be used as a coding companion or for code generation.<br>\n\n## Prompt Template:\n\nChoose the 'Google Gemma Instruct' preset in your LM Studio. \n\nUnder the hood, the model will see a prompt that's formatted like so:\n\n```\n<start_of_turn>user\n{prompt}<end_of_turn>\n<start_of_turn>model\n```\n\n## Technical Details\n\nCodeGemma is based on the Gemma 7b model with additional training on web documents, mathematics, and code, with a mixture of 80% code and 20% natural language.\n\nThe code used is based on publicly avaialble code repositories.\n\nThe instruct version was further trained on mathematical datasets in an attempt to improve its mathematical reasoning capabilities, as well as synthetic code generation combined with a second LLM for evaluation and reinforcement feedback.\n\nAdditional details can be found on Google's official report PDF [here](https://storage.googleapis.com/deepmind-media/gemma/codegemma_report.pdf)\n\n## Special thanks\n\n🙏 Special thanks to [Georgi Gerganov](https://github.com/ggerganov) and the whole team working on [llama.cpp](https://github.com/ggerganov/llama.cpp/) for making all of this possible.\n\n🙏 Special thanks to [Kalomaze](https://github.com/kalomaze) for his dataset (linked [here](https://github.com/ggerganov/llama.cpp/discussions/5263)) that was used for calculating the imatrix for these quants, which improves the overall quality!\n\n## Disclaimers\n\nLM Studio is not the creator, originator, or owner of any Model featured in the Community Model Program. Each Community Model is created and provided by third parties. LM Studio does not endorse, support, represent or guarantee the completeness, truthfulness, accuracy, or reliability of any Community Model.  You understand that Community Models can produce content that might be offensive, harmful, inaccurate or otherwise inappropriate, or deceptive. Each Community Model is the sole responsibility of the person or entity who originated such Model. LM Studio may not monitor or control the Community Models and cannot, and does not, take responsibility for any such Model. LM Studio disclaims all warranties or guarantees about the accuracy, reliability or benefits of the Community Models.  LM Studio further disclaims any warranty that the Community Model will meet your requirements, be secure, uninterrupted or available at any time or location, or error-free, viruses-free, or that any errors will be corrected, or otherwise. You will be solely responsible for any damage resulting from your use of or access to the Community Models, your downloading of any Community Model, or use of any other Community Model provided by or through LM Studio.\n\n",
    "related_quantizations": []
  },
  "tags": [
    "transformers",
    "gguf",
    "text-generation",
    "base_model:google/codegemma-1.1-7b-it",
    "base_model:quantized:google/codegemma-1.1-7b-it",
    "license:gemma",
    "endpoints_compatible",
    "region:us",
    "imatrix",
    "conversational"
  ],
  "likes": 5,
  "downloads": 1092,
  "gated": false,
  "private": false,
  "last_modified": "2024-05-14T13:49:54.000Z",
  "created_at": "2024-05-04T22:25:17.000Z",
  "pipeline_tag": "text-generation",
  "library_name": "transformers"
}

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