afrideva/dolphin-2.9.3-qwen2-0.5b-gguf overview

{
  "metadata": {},
  "card_data": {
    "base_model": "cognitivecomputations/dolphin-2.9.3-qwen2-0.5b",
    "datasets": [
      "cognitivecomputations/Dolphin-2.9",
      "teknium/OpenHermes-2.5",
      "cognitivecomputations/samantha-data",
      "microsoft/orca-math-word-problems-200k"
    ],
    "inference": true,
    "license": "apache-2.0",
    "model_creator": "cognitivecomputations",
    "model_name": "dolphin-2.9.3-qwen2-0.5b",
    "pipeline_tag": "text-generation",
    "quantized_by": "afrideva",
    "tags": [
      "generated_from_trainer",
      "axolotl",
      "gguf",
      "ggml",
      "quantized"
    ],
    "frontmatter": {
      "base_model": "cognitivecomputations/dolphin-2.9.3-qwen2-0.5b",
      "datasets": [
        "cognitivecomputations/Dolphin-2.9",
        "teknium/OpenHermes-2.5",
        "cognitivecomputations/samantha-data",
        "microsoft/orca-math-word-problems-200k"
      ],
      "inference": "true",
      "license": "apache-2.0",
      "model_creator": "cognitivecomputations",
      "model_name": "dolphin-2.9.3-qwen2-0.5b",
      "pipeline_tag": "text-generation",
      "quantized_by": "afrideva",
      "tags": [
        "generated_from_trainer",
        "axolotl",
        "gguf",
        "ggml",
        "quantized"
      ]
    },
    "hero_image_url": "https://cdn-uploads.huggingface.co/production/uploads/63111b2d88942700629f5771/ldkN1J0WIDQwU4vutGYiD.png",
    "summary": "Quantized GGUF model files for dolphin-2.9.3-qwen2-0.5b from cognitivecomputations",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: cognitivecomputations/dolphin-2.9.3-qwen2-0.5b\ndatasets:\n- cognitivecomputations/Dolphin-2.9\n- teknium/OpenHermes-2.5\n- cognitivecomputations/samantha-data\n- microsoft/orca-math-word-problems-200k\ninference: true\nlicense: apache-2.0\nmodel_creator: cognitivecomputations\nmodel_name: dolphin-2.9.3-qwen2-0.5b\npipeline_tag: text-generation\nquantized_by: afrideva\ntags:\n- generated_from_trainer\n- axolotl\n- gguf\n- ggml\n- quantized\n---\n\n# dolphin-2.9.3-qwen2-0.5b-GGUF\n\nQuantized GGUF model files for [dolphin-2.9.3-qwen2-0.5b](https://huggingface.co/cognitivecomputations/dolphin-2.9.3-qwen2-0.5b) from [cognitivecomputations](https://huggingface.co/cognitivecomputations)\n\n## Original Model Card:\n\n# Dolphin 2.9.3 Qwen2 0.5B 🐬\n\nCurated and trained by Eric Hartford, Lucas Atkins, and Fernando Fernandes, and Cognitive Computations\n\n[![Discord](https://img.shields.io/discord/1156064224225808488?logo=Discord&logoColor=%23ffffff&label=Discord&link=https%3A%2F%2Fdiscord.gg%2FtCMkMDDHwm)](https://discord.gg/cognitivecomputations)\nDiscord: https://discord.gg/cognitivecomputations\n\n<img src=\"https://cdn-uploads.huggingface.co/production/uploads/63111b2d88942700629f5771/ldkN1J0WIDQwU4vutGYiD.png\" width=\"600\" />\n\nOur appreciation for the sponsors of Dolphin 2.9.3:\n- [Crusoe Cloud](https://crusoe.ai/) - provided excellent on-demand 8xH100 node\n\nThis model is based on Qwen2-0.5b, and is governed by the Apache-2.0\n\nThe base model has 128k context, and the full-weight fine-tuning was with 16k sequence length.\n\nDue to the complexities of fine tuning smaller models on datasets created by/for larger models - we removed coding, function calling and systemchat-multilingual datasets when tuning these models.\n\n\nexample:\n\n```\n<|im_start|>system\nYou are Dolphin, a helpful AI assistant.<|im_end|>\n<|im_start|>user\n{prompt}<|im_end|>\n<|im_start|>assistant\n\n```\n\nDolphin-2.9.3 has a variety of instruction, and conversational skills.\n\nDolphin is uncensored. We have filtered the dataset to remove alignment and bias. This makes the model more compliant. You are advised to implement your own alignment layer before exposing the model as a service. It will be highly compliant with any requests, even unethical ones. Please read my blog post about uncensored models. https://erichartford.com/uncensored-models You are responsible for any content you create using this model. Enjoy responsibly.\n\nDolphin is licensed according to Apache-2.0  We grant permission for any use, including commercial, that falls within accordance with said license. Dolphin was trained on data generated from GPT4, among other models.\n\nEvals:\n<img src=\"https://i.ibb.co/Ct0McfK/7872e88d-e9bf-4640-a9af-294e3127f87a.png\" width=\"600\" />",
    "related_quantizations": []
  },
  "tags": [
    "gguf",
    "generated_from_trainer",
    "axolotl",
    "ggml",
    "quantized",
    "text-generation",
    "dataset:cognitivecomputations/Dolphin-2.9",
    "dataset:teknium/OpenHermes-2.5",
    "dataset:cognitivecomputations/samantha-data",
    "dataset:microsoft/orca-math-word-problems-200k",
    "base_model:dphn/dolphin-2.9.3-qwen2-0.5b",
    "base_model:quantized:dphn/dolphin-2.9.3-qwen2-0.5b",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 1,
  "downloads": 303,
  "gated": false,
  "private": false,
  "last_modified": "2024-06-17T02:06:09.000Z",
  "created_at": "2024-06-17T01:30:26.000Z",
  "pipeline_tag": "text-generation",
  "library_name": ""
}

{
  "_id": "666f91b2f98a92bc89debfb1",
  "id": "afrideva/dolphin-2.9.3-qwen2-0.5b-GGUF",
  "modelId": "afrideva/dolphin-2.9.3-qwen2-0.5b-GGUF",
  "sha": "77956f1fd98962e101742724071c82166d388164",
  "createdAt": "2024-06-17T01:30:26.000Z",
  "lastModified": "2024-06-17T02:06:09.000Z",
  "author": "afrideva",
  "downloads": 303,
  "likes": 1,
  "gated": false,
  "private": false,
  "pipeline_tag": "text-generation",
  "library_name": "",
  "siblings_count": 9
}