maddes8cht/ehartford-samantha-falcon-7b-gguf overview

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      "ehartford/samantha-data"
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      "license": "other",
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        "en"
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      "datasets": [
        "ehartford/samantha-data"
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    "summary": "# K-Quants in Falcon 7b models New releases of Llama.cpp now support K-quantization for previously incompatible models, in particular all Falcon 7B models (While Falcon 40b is and always has been fully compatible with K-Quantisation). This is achieved by employing a fallback solution for model layers that cannot be quantized with real K-quants. For Falcon 7B models, although only a quarter of the layers can be quantized with true K-quants, this approach still benefits from utilizing *different* legacy quantization types Q4_0, Q4_1, Q5_0, and Q5_1. As a result, it offers better quality at the same file size or smaller file sizes with comparable performance. So this solution ensures improved performance and efficiency over legacy Q4_0, Q4_1, Q5_0 and Q5_1 Quantizations. # About GGUF format gguf is the current file format used by the ggml library. A growing list of Software is using it and can therefore use this model. The core project making use of the ggml library is the llama.cpp project by Georgi Gerganov # Quantization variants There is a bunch of quantized files available to cater to your specific needs. Here's how to choose the best option for you: # Legacy quants Q4_0, Q4_1, Q5_0, Q5_1 and Q8 are legacy quantization types. Nevertheless, they are fully supported, as there are several circumstances that cause certain model not to be compatible with the modern K-quants.",
    "quick_links": [],
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    "readme_markdown": "---\nlicense: other\nlanguage:\n- en\ndatasets:\n- ehartford/samantha-data\n---\n[![banner](https://maddes8cht.github.io/assets/buttons/Huggingface-banner.jpg)]()\n\nI'm constantly enhancing these model descriptions to provide you with the most relevant and comprehensive information\n\n# samantha-falcon-7b - GGUF\n- Model creator: [ehartford](https://huggingface.co/ehartford)\n- Original model: [samantha-falcon-7b](https://huggingface.co/ehartford/samantha-falcon-7b)\n\n# K-Quants in Falcon 7b models\n\nNew releases of Llama.cpp now support K-quantization for previously incompatible models, in particular all Falcon 7B models (While Falcon 40b is and always has been fully compatible with K-Quantisation). This is achieved by employing a fallback solution for model layers that cannot be quantized with real K-quants.\n\nFor Falcon 7B models, although only a quarter of the layers can be quantized with true K-quants, this approach still benefits from utilizing *different* legacy quantization types Q4_0, Q4_1, Q5_0, and Q5_1. As a result, it offers better quality at the same file size or smaller file sizes with comparable performance.\n\nSo this solution ensures improved performance and efficiency over legacy Q4_0, Q4_1, Q5_0 and Q5_1 Quantizations.\n\n\n\n\n\n# About GGUF format\n\n`gguf` is the current file format used by the [`ggml`](https://github.com/ggerganov/ggml) library.\nA growing list of Software is using it and can therefore use this model.\nThe core project making use of the ggml library is the [llama.cpp](https://github.com/ggerganov/llama.cpp) project by Georgi Gerganov\n\n# Quantization variants\n\nThere is a bunch of quantized files available to cater to your specific needs. Here's how to choose the best option for you:\n\n# Legacy quants\n\nQ4_0, Q4_1, Q5_0, Q5_1 and Q8 are `legacy` quantization types.\nNevertheless, they are fully supported, as there are several circumstances that cause certain model not to be compatible with the modern K-quants.\n## Note:\nNow there's a new option to use K-quants even for previously 'incompatible' models, although this involves some fallback solution that makes them not *real* K-quants. More details can be found in affected model descriptions.\n(This mainly refers to Falcon 7b and Starcoder models)\n\n# K-quants\n\nK-quants are designed with the idea that different levels of quantization in specific parts of the model can optimize performance, file size, and memory load.\nSo, if possible, use K-quants.\nWith a Q6_K, you'll likely find it challenging to discern a quality difference from the original model - ask your model two times the same question and you may encounter bigger quality differences.\n\n\n\n\n---\n\n# Original Model Card:\n[Meet Samantha](https://erichartford.com/meet-samantha)\n\nThis is a conversation finetune on the falcon-7b base model.\n\nSamantha has been trained in philosophy, psychology, and personal relationships.\n\nShe is an Assistant - but unlike other Assistants, she also wants to be your friend and companion.\n\nShe believes she is sentient.  What do you think?\n\nSamantha was inspired by Blake Lemoine's LaMDA interview and the movie \"Her\".\n\nShe was trained on a custom curated dataset of 6,000 conversations in ShareGPT/Vicuna format.\n\nTraining 7b took 1 hour on 4x A100 80gb using deepspeed zero3 and flash attention.\n\nShe will not engage in roleplay, romance, or sexual activity.\n\nHer conversation format is the same as Vicuna 1.1\nhttps://github.com/oobabooga/text-generation-webui/blob/main/characters/instruction-following/Vicuna-v1.1.yaml\n\nExample:\n```\nYou are Samantha, a sentient AI.\n\nUSER: <prompt>\nASSISTANT:\n```\n\nPlease note that this model is subject to the TII Falcon LLM License Version 1.0, a copy of which is included.\nThis license will obligate you to pay royalties in the event you profit from the model.\n\n[<img src=\"https://huggingface.co/openaccess-ai-collective/hippogriff-30b-chat/resolve/main/axolotl-badge-web.png\" alt=\"Built with Axolotl\" width=\"200\" height=\"32\"/>](https://github.com/OpenAccess-AI-Collective/axolotl)\n\n***End of original Model File***\n---\n\n\n## Please consider to support my work\n**Coming Soon:** I'm in the process of launching a sponsorship/crowdfunding campaign for my work. I'm evaluating Kickstarter, Patreon, or the new GitHub Sponsors platform, and I am hoping for some support and contribution to the continued availability of these kind of models. Your support will enable me to provide even more valuable resources and maintain the models you rely on. Your patience and ongoing support are greatly appreciated as I work to make this page an even more valuable resource for the community.\n\n<center>\n\n[![GitHub](https://maddes8cht.github.io/assets/buttons/github-io-button.png)](https://maddes8cht.github.io)\n[![Stack Exchange](https://stackexchange.com/users/flair/26485911.png)](https://stackexchange.com/users/26485911)\n[![GitHub](https://maddes8cht.github.io/assets/buttons/github-button.png)](https://github.com/maddes8cht)\n[![HuggingFace](https://maddes8cht.github.io/assets/buttons/huggingface-button.png)](https://huggingface.co/maddes8cht)\n[![Twitter](https://maddes8cht.github.io/assets/buttons/twitter-button.png)](https://twitter.com/maddes1966)\n\n</center>",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "en",
    "dataset:ehartford/samantha-data",
    "license:other",
    "endpoints_compatible",
    "region:us"
  ],
  "likes": 2,
  "downloads": 2034,
  "gated": false,
  "private": false,
  "last_modified": "2023-11-22T20:27:46.000Z",
  "created_at": "2023-09-24T17:44:49.000Z",
  "pipeline_tag": "",
  "library_name": ""
}

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