fancyfeast/llama-joycaption-beta-one-hf-llava

zetlyn/models-hf model hf fancyfeast/llama-joycaption-beta-one-hf-llava known 2025-05-11

https://huggingface.co/fancyfeast/llama-joycaption-beta-one-hf-llava

Properties

authorfancyfeast
receipt
Source
Hugging Face models
Its words
fancyfeast
Read by
field:author
Said since
2026-10-03 00:06 UTC
Last answered
2026-10-04 18:21 UTC
Original
open at the source
What the source handed over
{
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  "_id": "681feb48cce07fc7766a6921",
  "author": "fancyfeast",
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    "pipeline_tag": "image-text-to-text",
    "tags": [
      "captioning"
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  "config": {
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  "widgetData": [
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      "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."
    }
  ]
}
downloads112302
receipt
Source
Hugging Face models
Its words
112302
Read by
field:downloads
Said since
2026-10-03 18:10 UTC
Last answered
2026-10-04 18:21 UTC
Original
open at the source
2026-10-03 18:10 UTC112302
2026-10-03 00:06 UTC110832
What the source handed over
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    },
    {
      "text": "Explain quantum computing in simple terms."
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gatedfalse
receipt
Source
Hugging Face models
Its words
false
Read by
field:gated
Said since
2026-10-03 00:06 UTC
Last answered
2026-10-04 18:21 UTC
Original
open at the source
What the source handed over
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}
likes400
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Source
Hugging Face models
Its words
400
Read by
field:likes
Said since
2026-10-03 18:10 UTC
Last answered
2026-10-04 18:21 UTC
Original
open at the source
2026-10-03 18:10 UTC400
2026-10-03 00:06 UTC399
What the source handed over
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receipt
Source
Hugging Face models
Its words
image-text-to-text
Read by
field:pipeline_tag
Said since
2026-10-03 00:06 UTC
Last answered
2026-10-04 18:21 UTC
Original
open at the source
What the source handed over
{
  "_asked": "fancyfeast/llama-joycaption-beta-one-hf-llava",
  "_id": "681feb48cce07fc7766a6921",
  "author": "fancyfeast",
  "cardData": {
    "base_model": [
      "meta-llama/Llama-3.1-8B-Instruct",
      "google/siglip2-so400m-patch14-384"
    ],
    "library_name": "transformers",
    "pipeline_tag": "image-text-to-text",
    "tags": [
      "captioning"
    ]
  },
  "config": {
    "architectures": [
      "LlavaForConditionalGeneration"
    ],
    "model_type": "llava",
    "processor_config": {
      "chat_template": "{%- if not date_string is defined %}\n    {%- set date_string = \"26 July 2024\" %}\n{%- endif %}\n\n{#- This block extracts the system message, so we can slot it into the right place. #}\n{%- if messages[0]['role'] == 'system' %}\n    {%- set system_message = messages[0]['content'] %}\n    {%- set messages = messages[1:] %}\n{%- else %}\n    {%- set system_message = \"\" %}\n{%- endif %}\n\n{#- System message + builtin tools #}\n{{- \"<|start_header_id|>system<|end_header_id|>\n\n\" }}\n{{- \"Cutting Knowledge Date: December 2023\n\" }}\n{{- \"Today Date: \" + date_string + \"\n\n\" }}\n{{- system_message }}\n{{- \"<|eot_id|>\" }}\n\n\n{%- set first_user_message = True %}\n{%- for message in messages %}\n    {%- if first_user_message and message['role'] == 'user' %}\n\t\t{%- set first_user_message = False %}\n\t    {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n<|reserved_special_token_70|><|reserved_special_token_69|><|reserved_special_token_71|>'+ message['content'].replace('<|reserved_special_token_69|>', '').lstrip() + '<|eot_id|>' }}\n\t{%- else %}\n        {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] + '<|eot_id|>' }}\n\t{%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }}\n{%- endif %}\n"
    },
    "tokenizer_config": {
      "bos_token": "<|begin_of_text|>",
      "chat_template": "{{- bos_token }}\n{%- if not date_string is defined %}\n    {%- set date_string = \"26 July 2024\" %}\n{%- endif %}\n\n{#- This block extracts the system message, so we can slot it into the right place. #}\n{%- if messages[0]['role'] == 'system' %}\n    {%- set system_message = messages[0]['content'] %}\n    {%- set messages = messages[1:] %}\n{%- else %}\n    {%- set system_message = \"\" %}\n{%- endif %}\n\n{#- System message + builtin tools #}\n{{- \"<|start_header_id|>system<|end_header_id|>\n\n\" }}\n{{- \"Cutting Knowledge Date: December 2023\n\" }}\n{{- \"Today Date: \" + date_string + \"\n\n\" }}\n{{- system_message }}\n{{- \"<|eot_id|>\" }}\n\n\n{%- set first_user_message = True %}\n{%- for message in messages %}\n    {%- if first_user_message and message['role'] == 'user' %}\n\t\t{%- set first_user_message = False %}\n\t    {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n<|reserved_special_token_70|><|reserved_special_token_69|><|reserved_special_token_71|>'+ message['content'] + '<|eot_id|>' }}\n\t{%- else %}\n        {{- '<|start_header_id|>' + message['role'] + '<|end_header_id|>\n\n'+ message['content'] + '<|eot_id|>' }}\n\t{%- endif %}\n{%- endfor %}\n{%- if add_generation_prompt %}\n    {{- '<|start_header_id|>assistant<|end_header_id|>\n\n' }}\n{%- endif %}\n",
      "eos_token": "<|eot_id|>"
    }
  },
  "createdAt": "2025-05-11T00:11:52.000Z",
  "disabled": false,
  "downloads": 112302,
  "gated": false,
  "id": "fancyfeast/llama-joycaption-beta-one-hf-llava",
  "lastModified": "2025-05-16T04:12:26.000Z",
  "library_name": "transformers",
  "likes": 400,
  "model-index": null,
  "modelId": "fancyfeast/llama-joycaption-beta-one-hf-llava",
  "pipeline_tag": "image-text-to-text",
  "private": false,
  "safetensors": {
    "parameters": {
      "BF16": 8479990848
    },
    "total": 8479990848
  },
  "sha": "ebf414ea497a020da0f82df3913e5b6cb8e9663a",
  "siblings": [
    {
      "rfilename": ".gitattributes"
    },
    {
      "rfilename": "LLAMA_LICENSE"
    },
    {
      "rfilename": "LLAMA_USE_POLICY.md"
    },
    {
      "rfilename": "README.md"
    },
    {
      "rfilename": "chat_template.json"
    },
    {
      "rfilename": "config.json"
    },
    {
      "rfilename": "generation_config.json"
    },
    {
      "rfilename": "model-00001-of-00004.safetensors"
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    {
      "rfilename": "model-00002-of-00004.safetensors"
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    {
      "rfilename": "model-00004-of-00004.safetensors"
    },
    {
      "rfilename": "model.safetensors.index.json"
    },
    {
      "rfilename": "preprocessor_config.json"
    },
    {
      "rfilename": "processor_config.json"
    },
    {
      "rfilename": "special_tokens_map.json"
    },
    {
      "rfilename": "tokenizer.json"
    },
    {
      "rfilename": "tokenizer_config.json"
    }
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  "tags": [
    "transformers",
    "safetensors",
    "llava",
    "image-text-to-text",
    "captioning",
    "conversational",
    "base_model:google/siglip2-so400m-patch14-384",
    "base_model:finetune:google/siglip2-so400m-patch14-384",
    "endpoints_compatible",
    "region:us"
  ],
  "transformersInfo": {
    "auto_model": "AutoModelForMultimodalLM",
    "pipeline_tag": "image-text-to-text",
    "processor": "AutoProcessor"
  },
  "usedStorage": 16978027354,
  "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."
    }
  ]
}

Text

This source's terms allow its title, its values and a link here, not its text. It is at https://huggingface.co/fancyfeast/llama-joycaption-beta-one-hf-llava.