lmstudio-community/wizardlm-2-7b-gguf overview

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  "card_data": {
    "license": "apache-2.0",
    "quantized_by": "bartowski",
    "pipeline_tag": "text-generation",
    "lm_studio": {
      "param_count": "7b",
      "use_case": "general",
      "release_date": "15-04-2024",
      "model_creator": "microsoft",
      "prompt_template": "vicuna",
      "system_prompt": "A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions.",
      "base_model": "mistral",
      "original_repo": "microsoft/WizardLM-2-7B"
    },
    "frontmatter": {
      "license": "apache-2.0",
      "quantized_by": "bartowski",
      "pipeline_tag": "text-generation",
      "lm_studio": []
    },
    "hero_image_url": "https://cdn-uploads.huggingface.co/production/uploads/6435718aaaef013d1aec3b8b/ka5C0km4sZz5fhiiWU58V.png",
    "summary": "",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nlicense: apache-2.0\nquantized_by: bartowski\npipeline_tag: text-generation\nlm_studio:\n  param_count: 7b\n  use_case: general\n  release_date: 15-04-2024\n  model_creator: microsoft\n  prompt_template: vicuna\n  system_prompt: A chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions.\n  base_model: mistral\n  original_repo: microsoft/WizardLM-2-7B\n---\n\n## 💫 Community Model> WizardLM-2-7B by Microsoft\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:** [Microsoft](https://huggingface.co/microsoft)<br>\n**Original model**: [WizardLM-2-7B](https://huggingface.co/microsoft/WizardLM-2-7B)<br>\n**GGUF quantization:** provided by [bartowski](https://huggingface.co/bartowski) based on `llama.cpp` release [b2675](https://github.com/ggerganov/llama.cpp/releases/tag/b2675)<br>\n\n## Model Summary:\n\nWizardLM 2 7B is a followup model to the original and highly successful WizardLM line of models. This model is trained to excel at multi-turn conversations, and does so very successfully, outclassing models more than twice its size.<br>\nThis model should be used for general conversation and world knowledge, but as with most models these days will be relatively competent at coding and reasoning as well.\n\n## Prompt Template:\n\nFor now, you'll need to make your own template. Choose the `LM Studio Blank Preset` in your LM Studio.\n\nThen, set the system prompt to whatever you'd like (check the recommended one below), and set the following values:<br>\n`System Message Suffix`: ''<br>\n`User Message Prefix`: ' USER: '<br>\n`User Message Suffix`: ' ASSISTANT: '\n\nUnder the hood, the model will see a prompt that's formatted like so:\n\n```\nA chat between a curious user and an artificial intelligence assistant. The assistant gives helpful, detailed, and polite answers to the user's questions. USER: {prompt} ASSISTANT: </s>\n```\n\n## Use case and examples\n\nWizardLM 2 was tuned for improved performance on complex chat, multilingual, reasoning and agent tasks. This makes it a great model to use when wanting to chat back and forth and have reasoning based discussions.\n\n### World knowledge:\n\n![image/png](https://cdn-uploads.huggingface.co/production/uploads/6435718aaaef013d1aec3b8b/ka5C0km4sZz5fhiiWU58V.png)\n\n## Conversational:\n\n![image/png](https://cdn-uploads.huggingface.co/production/uploads/6435718aaaef013d1aec3b8b/Xc4eZ6vsO0tSJyWiNFNPC.png)\n\n## Coding:\n\n![image/png](https://cdn-uploads.huggingface.co/production/uploads/6435718aaaef013d1aec3b8b/6QM1IlZy6Wc9U5T6z7b9y.png)\n\n## Technical Details\n\nWizardLM 2 applies several new methods for training compared to the original iteration, truly showing just how much the Open Source AI world has advanced since their intial offerings.\n\nThe first of which is Progress Learning. Rather than applying all training data at once, the team applied stage-by-stage training by partitioning the data into multiple sections and training on each one after the other.\n\nAI Align AI (AAA) is another new process, whereby various state-of-the-art LLMs are allowed to co-teach and improve from each other, using simulated chats, quality judging, and improvement suggestions. They also participate in self-teaching in a similar manor.\n\nThe model then underwent Supervised Learning, Stage-DPO, and Evol-Instruct and Instruction&Process Supervised Reinforcement Learning (RLEIF) which uses an instruction quality reward model and a supervision reward model for more precise correctness.\n\nThe results are a model that performs exceptionally well on the automatic MT-Bench evaluation. \n\nFor more information, check the WizardLM2 blog post [here](https://wizardlm.github.io/WizardLM2/)\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",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "text-generation",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us"
  ],
  "likes": 17,
  "downloads": 1018,
  "gated": false,
  "private": false,
  "last_modified": "2024-04-16T16:32:06.000Z",
  "created_at": "2024-04-15T22:51:45.000Z",
  "pipeline_tag": "text-generation",
  "library_name": ""
}

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  "createdAt": "2024-04-15T22:51:45.000Z",
  "lastModified": "2024-04-16T16:32:06.000Z",
  "author": "lmstudio-community",
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  "pipeline_tag": "text-generation",
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