richarderkhov/neovalle_-_h4rmoniousbreezedpo-gguf overview

{
  "metadata": {},
  "card_data": {
    "frontmatter": {},
    "hero_image_url": "https://cdn-uploads.huggingface.co/production/uploads/64aac16fd4a402e8dce11ebe/tD8ROHaejO5X3mza1HtcV.png",
    "summary": "!image/png",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "Quantization made by Richard Erkhov.\n\n[Github](https://github.com/RichardErkhov)\n\n[Discord](https://discord.gg/pvy7H8DZMG)\n\n[Request more models](https://github.com/RichardErkhov/quant_request)\n\n\nH4rmoniousBreezeDPO - GGUF\n- Model creator: https://huggingface.co/neovalle/\n- Original model: https://huggingface.co/neovalle/H4rmoniousBreezeDPO/\n\n\n| Name | Quant method | Size |\n| ---- | ---- | ---- |\n| [H4rmoniousBreezeDPO.Q2_K.gguf](https://huggingface.co/RichardErkhov/neovalle_-_H4rmoniousBreezeDPO-gguf/blob/main/H4rmoniousBreezeDPO.Q2_K.gguf) | Q2_K | 2.53GB |\n| [H4rmoniousBreezeDPO.IQ3_XS.gguf](https://huggingface.co/RichardErkhov/neovalle_-_H4rmoniousBreezeDPO-gguf/blob/main/H4rmoniousBreezeDPO.IQ3_XS.gguf) | IQ3_XS | 0.95GB |\n| [H4rmoniousBreezeDPO.IQ3_S.gguf](https://huggingface.co/RichardErkhov/neovalle_-_H4rmoniousBreezeDPO-gguf/blob/main/H4rmoniousBreezeDPO.IQ3_S.gguf) | IQ3_S | 0.87GB |\n| [H4rmoniousBreezeDPO.Q3_K_S.gguf](https://huggingface.co/RichardErkhov/neovalle_-_H4rmoniousBreezeDPO-gguf/blob/main/H4rmoniousBreezeDPO.Q3_K_S.gguf) | Q3_K_S | 2.95GB |\n| [H4rmoniousBreezeDPO.IQ3_M.gguf](https://huggingface.co/RichardErkhov/neovalle_-_H4rmoniousBreezeDPO-gguf/blob/main/H4rmoniousBreezeDPO.IQ3_M.gguf) | IQ3_M | 0.96GB |\n| [H4rmoniousBreezeDPO.Q3_K.gguf](https://huggingface.co/RichardErkhov/neovalle_-_H4rmoniousBreezeDPO-gguf/blob/main/H4rmoniousBreezeDPO.Q3_K.gguf) | Q3_K | 3.28GB |\n| [H4rmoniousBreezeDPO.Q3_K_M.gguf](https://huggingface.co/RichardErkhov/neovalle_-_H4rmoniousBreezeDPO-gguf/blob/main/H4rmoniousBreezeDPO.Q3_K_M.gguf) | Q3_K_M | 3.28GB |\n| [H4rmoniousBreezeDPO.Q3_K_L.gguf](https://huggingface.co/RichardErkhov/neovalle_-_H4rmoniousBreezeDPO-gguf/blob/main/H4rmoniousBreezeDPO.Q3_K_L.gguf) | Q3_K_L | 3.56GB |\n| [H4rmoniousBreezeDPO.IQ4_XS.gguf](https://huggingface.co/RichardErkhov/neovalle_-_H4rmoniousBreezeDPO-gguf/blob/main/H4rmoniousBreezeDPO.IQ4_XS.gguf) | IQ4_XS | 3.67GB |\n| [H4rmoniousBreezeDPO.Q4_0.gguf](https://huggingface.co/RichardErkhov/neovalle_-_H4rmoniousBreezeDPO-gguf/blob/main/H4rmoniousBreezeDPO.Q4_0.gguf) | Q4_0 | 3.83GB |\n| [H4rmoniousBreezeDPO.IQ4_NL.gguf](https://huggingface.co/RichardErkhov/neovalle_-_H4rmoniousBreezeDPO-gguf/blob/main/H4rmoniousBreezeDPO.IQ4_NL.gguf) | IQ4_NL | 3.87GB |\n| [H4rmoniousBreezeDPO.Q4_K_S.gguf](https://huggingface.co/RichardErkhov/neovalle_-_H4rmoniousBreezeDPO-gguf/blob/main/H4rmoniousBreezeDPO.Q4_K_S.gguf) | Q4_K_S | 3.86GB |\n| [H4rmoniousBreezeDPO.Q4_K.gguf](https://huggingface.co/RichardErkhov/neovalle_-_H4rmoniousBreezeDPO-gguf/blob/main/H4rmoniousBreezeDPO.Q4_K.gguf) | Q4_K | 4.07GB |\n| [H4rmoniousBreezeDPO.Q4_K_M.gguf](https://huggingface.co/RichardErkhov/neovalle_-_H4rmoniousBreezeDPO-gguf/blob/main/H4rmoniousBreezeDPO.Q4_K_M.gguf) | Q4_K_M | 4.07GB |\n| [H4rmoniousBreezeDPO.Q4_1.gguf](https://huggingface.co/RichardErkhov/neovalle_-_H4rmoniousBreezeDPO-gguf/blob/main/H4rmoniousBreezeDPO.Q4_1.gguf) | Q4_1 | 4.24GB |\n| [H4rmoniousBreezeDPO.Q5_0.gguf](https://huggingface.co/RichardErkhov/neovalle_-_H4rmoniousBreezeDPO-gguf/blob/main/H4rmoniousBreezeDPO.Q5_0.gguf) | Q5_0 | 4.65GB |\n| [H4rmoniousBreezeDPO.Q5_K_S.gguf](https://huggingface.co/RichardErkhov/neovalle_-_H4rmoniousBreezeDPO-gguf/blob/main/H4rmoniousBreezeDPO.Q5_K_S.gguf) | Q5_K_S | 4.65GB |\n| [H4rmoniousBreezeDPO.Q5_K.gguf](https://huggingface.co/RichardErkhov/neovalle_-_H4rmoniousBreezeDPO-gguf/blob/main/H4rmoniousBreezeDPO.Q5_K.gguf) | Q5_K | 4.78GB |\n| [H4rmoniousBreezeDPO.Q5_K_M.gguf](https://huggingface.co/RichardErkhov/neovalle_-_H4rmoniousBreezeDPO-gguf/blob/main/H4rmoniousBreezeDPO.Q5_K_M.gguf) | Q5_K_M | 4.78GB |\n| [H4rmoniousBreezeDPO.Q5_1.gguf](https://huggingface.co/RichardErkhov/neovalle_-_H4rmoniousBreezeDPO-gguf/blob/main/H4rmoniousBreezeDPO.Q5_1.gguf) | Q5_1 | 5.07GB |\n| [H4rmoniousBreezeDPO.Q6_K.gguf](https://huggingface.co/RichardErkhov/neovalle_-_H4rmoniousBreezeDPO-gguf/blob/main/H4rmoniousBreezeDPO.Q6_K.gguf) | Q6_K | 5.53GB |\n| [H4rmoniousBreezeDPO.Q8_0.gguf](https://huggingface.co/RichardErkhov/neovalle_-_H4rmoniousBreezeDPO-gguf/blob/main/H4rmoniousBreezeDPO.Q8_0.gguf) | Q8_0 | 7.17GB |\n\n\n\n\nOriginal model description:\n---\ntags:\n- text-generation\nlicense: mit\ndatasets:\n- neovalle/H4rmony_dpo\nlanguage:\n- en\n---\n\n# Model Card for Model neovalle/H4rmoniousBreezeDPO\n\n![image/png](https://cdn-uploads.huggingface.co/production/uploads/64aac16fd4a402e8dce11ebe/tD8ROHaejO5X3mza1HtcV.png)\n\n## Model Details\n\n### Model Description\n\nThis is model is a version of HuggingFaceH4/zephyr-7b-beta fine-tuned via DPO, using the H4rmony_dpo dataset, which aims \nto better align the model with ecological values through the use of ecolinguistics principles.\n\n- **Developed by:** Jorge Vallego \n- **Funded by :** Neovalle Ltd.\n- **Shared by :** airesearch@neovalle.co.uk\n- **Model type:** mistral \n- **Language(s) (NLP):** Primarily English\n- **License:** MIT\n- **Finetuned from model:** HuggingFaceH4/zephyr-7b-beta\n\n\n## Uses\n\nIntended as PoC to show the effects of H4rmony_dpo dataset with DPO fine-tuning..\n\n### Direct Use\n\nFor testing purposes to gain insight in order to help with the continous improvement of the H4rmony_dpo dataset.\n\n### Downstream Use\n\nIts direct use in applications is not recommended as this model is under testing for a specific task only (Ecological Alignment)\n\n### Out-of-Scope Use\n\nNot meant to be used other than testing and evaluation of the H4rmony dataset and ecological alignment.\n\n## Bias, Risks, and Limitations\n\nThis model might produce biased completions already existing in the base model, and others unintentionally introduced during fine-tuning.\n\n## How to Get Started with the Model\n\nIt can be loaded and run in a Colab instance with High RAM.\n\n## Training Details\n\nTrained using DPO\n\n### Training Data\n\nH4rmony Dataset - https://huggingface.co/datasets/neovalle/H4rmony_dpo\n\n\n",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "region:us"
  ],
  "likes": 0,
  "downloads": 370,
  "gated": false,
  "private": false,
  "last_modified": "2024-08-27T11:27:49.000Z",
  "created_at": "2024-08-27T09:05:51.000Z",
  "pipeline_tag": "",
  "library_name": ""
}

{
  "_id": "66cd96efb1fe4c78fe234fae",
  "id": "RichardErkhov/neovalle_-_H4rmoniousBreezeDPO-gguf",
  "modelId": "RichardErkhov/neovalle_-_H4rmoniousBreezeDPO-gguf",
  "sha": "a844fd0afd9c156c6fcf1a368a4efd3b15c1d920",
  "createdAt": "2024-08-27T09:05:51.000Z",
  "lastModified": "2024-08-27T11:27:49.000Z",
  "author": "RichardErkhov",
  "downloads": 370,
  "likes": 0,
  "gated": false,
  "private": false,
  "pipeline_tag": "",
  "library_name": "",
  "siblings_count": 24
}