duyntnet/pygmalion-2-7b-imatrix-gguf overview

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      "pipeline_tag": "text-generation",
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    "readme_markdown": "---\nlicense: other\nlanguage:\n- en\npipeline_tag: text-generation\ninference: false\ntags:\n- transformers\n- gguf\n- imatrix\n- pygmalion-2-7b\n---\nQuantizations of https://huggingface.co/PygmalionAI/pygmalion-2-7b\n\n\n# From original readme\n\n## Prompting\n\nThe model has been trained on prompts using three different roles, which are denoted by the following tokens: `<|system|>`, `<|user|>` and `<|model|>`.\n\nThe `<|system|>` prompt can be used to inject out-of-channel information behind the scenes, while the `<|user|>` prompt should be used to indicate user input.\nThe `<|model|>` token should then be used to indicate that the model should generate a response. These tokens can happen multiple times and be chained up to\nform a conversation history.\n\n### Prompting example\n\nThe system prompt has been designed to allow the model to \"enter\" various modes and dictate the reply length. Here's an example:\n\n```\n<|system|>Enter RP mode. Pretend to be {{char}} whose persona follows:\n{{persona}}\n\nYou shall reply to the user while staying in character, and generate long responses.\n```",
    "related_quantizations": []
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  "tags": [
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    "text-generation",
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  "last_modified": "2024-06-13T06:35:46.000Z",
  "created_at": "2024-06-13T04:27:22.000Z",
  "pipeline_tag": "text-generation",
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  "id": "duyntnet/pygmalion-2-7b-imatrix-GGUF",
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  "createdAt": "2024-06-13T04:27:22.000Z",
  "lastModified": "2024-06-13T06:35:46.000Z",
  "author": "duyntnet",
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