dphn/dolphin-2_6-phi-2

{
  "_asked": "cognitivecomputations/dolphin-2_6-phi-2",
  "_id": "65869182438d7b1ccff8715c",
  "author": "dphn",
  "cardData": {
    "datasets": [
      "ehartford/dolphin",
      "jondurbin/airoboros-2.2.1",
      "ehartford/dolphin-coder",
      "teknium/openhermes",
      "ise-uiuc/Magicoder-OSS-Instruct-75K",
      "ise-uiuc/Magicoder-Evol-Instruct-110K",
      "LDJnr/Capybara"
    ],
    "language": [
      "en"
    ],
    "license": "mit",
    "license_link": "LICENSE",
    "license_name": "microsoft-research-license"
  },
  "config": {
    "architectures": [
      "PhiForCausalLM"
    ],
    "auto_map": {
      "AutoConfig": "configuration_phi.PhiConfig",
      "AutoModelForCausalLM": "modeling_phi.PhiForCausalLM"
    },
    "model_type": "phi-msft",
    "tokenizer_config": {
      "bos_token": "<|endoftext|>",
      "chat_template": "{% if not add_generation_prompt is defined %}{% set add_generation_prompt = false %}{% endif %}{% for message in messages %}{{'<|im_start|>' + message['role'] + '\n' + message['content'] + '<|im_end|>' + '\n'}}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\n' }}{% endif %}",
      "eos_token": "<|im_end|>",
      "pad_token": "<|endoftext|>",
      "unk_token": "<|endoftext|>"
    }
  },
  "createdAt": "2023-12-23T07:51:30.000Z",
  "disabled": false,
  "downloads": 453,
  "gated": false,
  "id": "dphn/dolphin-2_6-phi-2",
  "lastModified": "2024-05-20T15:05:20.000Z",
  "library_name": "transformers",
  "likes": 198,
  "model-index": null,
  "modelId": "dphn/dolphin-2_6-phi-2",
  "pipeline_tag": "text-generation",
  "private": false,
  "safetensors": {
    "parameters": {
      "F16": 2783124480
    },
    "total": 2783124480
  },
  "sha": "8f9ec20eb43118517758278024f6ed911c79ee9f",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "LICENSE"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "added_tokens.json"
    },
    {
      "rfilename": "config.json"
    },
    {
      "rfilename": "configs/phi-dolphin-qlora.yml"
    },
    {
      "rfilename": "configuration_phi.py"
    },
    {
      "rfilename": "generation_config.json"
    },
    {
      "rfilename": "merges.txt"
    },
    {
      "rfilename": "model-00001-of-00002.safetensors"
    },
    {
      "rfilename": "model-00002-of-00002.safetensors"
    },
    {
      "rfilename": "model.safetensors.index.json"
    },
    {
      "rfilename": "modeling_phi.py"
    },
    {
      "rfilename": "pytorch_model-00001-of-00002.bin"
    },
    {
      "rfilename": "pytorch_model-00002-of-00002.bin"
    },
    {
      "rfilename": "pytorch_model.bin.index.json"
    },
    {
      "rfilename": "special_tokens_map.json"
    },
    {
      "rfilename": "tokenizer.json"
    },
    {
      "rfilename": "tokenizer_config.json"
    },
    {
      "rfilename": "vocab.json"
    }
  ],
  "spaces": [
    "ecyht2/llama-cpp-template",
    "Xmaptip/cognitivecomputations-dolphin-2_6-phi-2",
    "Schnickfitzel/cognitivecomputations-dolphin-2_6-phi-2",
    "z11h/cognitivecomputations-dolphin-2_6-phi-2",
    "K00B404/TeachingPadawan",
    "K00B404/Compute-blob-2_6-pyi-2",
    "AstralVisions/cognitivecomputations-dolphin-2_6-phi-2",
    "akcoderspark/text-generation-llm",
    "abws24904/WermGBT-Server"
  ],
  "tags": [
    "transformers",
    "pytorch",
    "safetensors",
    "phi-msft",
    "text-generation",
    "conversational",
    "custom_code",
    "en",
    "dataset:ehartford/dolphin",
    "dataset:jondurbin/airoboros-2.2.1",
    "dataset:ehartford/dolphin-coder",
    "dataset:teknium/openhermes",
    "dataset:ise-uiuc/Magicoder-OSS-Instruct-75K",
    "dataset:ise-uiuc/Magicoder-Evol-Instruct-110K",
    "dataset:LDJnr/Capybara",
    "license:mit",
    "endpoints_compatible",
    "region:us"
  ],
  "transformersInfo": {
    "auto_model": "AutoModelForCausalLM",
    "pipeline_tag": "text-generation"
  },
  "usedStorage": 25828261825,
  "widgetData": [
    {
      "text": "Hi, what can you help me with?"
    },
    {
      "text": "What is 84 * 3 / 2?"
    },
    {
      "text": "Tell me an interesting fact about the universe!"
    },
    {
      "text": "Explain quantum computing in simple terms."
    }
  ]
}