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dams2005/gemma-3-4b-it-triplet-extractor

hf dams2005/gemma-3-4b-it-triplet-extractor 2 sources, 2 claims · Watch

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PropertySourceSaidMeans here
Author
author
not compared		GGUF quantisationsandrasto
receipt
Source
GGUF quantisations
Its words
andrasto
Read by
field:author
Said since
2026-10-02 12:01 UTC
Last answered
2026-10-02 12:01 UTC
Original
open at the source
What the source handed over
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    "region:us"
  ]
}
—
Author
author
not compared		Hugging Face modelsdams2005
receipt
Source
Hugging Face models
Its words
dams2005
Read by
field:author
Said since
2026-10-02 12:02 UTC
Last answered
2026-10-02 12:06 UTC
Original
open at the source
What the source handed over
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}
—
Base
base
GGUF quantisationsdams2005/gemma-3-4b-it-triplet-extractor
receipt
Source
GGUF quantisations
Its words
dams2005/gemma-3-4b-it-triplet-extractor
Read by
field:cardData.base_model[]
Said since
2026-10-02 12:01 UTC
Last answered
2026-10-02 12:01 UTC
Original
open at the source
What the source handed over
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  ]
}
—
Downloads
downloads
not compared		GGUF quantisations64
receipt
Source
GGUF quantisations
Its words
64
Read by
field:downloads
Said since
2026-10-02 12:01 UTC
Last answered
2026-10-02 12:01 UTC
Original
open at the source
What the source handed over
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  ]
}
—
Downloads
downloads
not compared		Hugging Face models11
receipt
Source
Hugging Face models
Its words
11
Read by
field:downloads
Said since
2026-10-02 12:02 UTC
Last answered
2026-10-02 12:06 UTC
Original
open at the source
What the source handed over
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  ]
}
—
Gated
gated
Hugging Face modelsfalse
receipt
Source
Hugging Face models
Its words
false
Read by
field:gated
Said since
2026-10-02 12:02 UTC
Last answered
2026-10-02 12:06 UTC
Original
open at the source
What the source handed over
{
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      "gemma-3"
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}
—
Licence
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GGUF quantisationsgemma
receipt
Source
GGUF quantisations
Its words
gemma
Read by
field:cardData.license
Said since
2026-10-02 12:01 UTC
Last answered
2026-10-02 12:01 UTC
Original
open at the source
What the source handed over
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—
Licence
licence
Hugging Face modelsgemma
receipt
Source
Hugging Face models
Its words
gemma
Read by
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Said since
2026-10-02 12:02 UTC
Last answered
2026-10-02 12:06 UTC
Original
open at the source
What the source handed over
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—
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Source
GGUF quantisations
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Last answered
2026-10-02 12:01 UTC
Original
open at the source
What the source handed over
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}
—
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Hugging Face models
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2026-10-02 12:06 UTC
Original
open at the source
What the source handed over
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    },
    {
      "rfilename": "gptq-8bit/tokenizer_config.json"
    },
    {
      "rfilename": "tokenizer.json"
    },
    {
      "rfilename": "tokenizer_config.json"
    },
    {
      "rfilename": "training_args.bin"
    }
  ],
  "spaces": [],
  "tags": [
    "peft",
    "safetensors",
    "lora",
    "transformers",
    "knowledge-graph",
    "information-extraction",
    "relation-extraction",
    "triplet-extraction",
    "json",
    "gemma-3",
    "text-generation",
    "conversational",
    "base_model:google/gemma-3-4b-it",
    "base_model:adapter:google/gemma-3-4b-it",
    "license:gemma",
    "region:us"
  ],
  "transformersInfo": {
    "auto_model": "AutoModel"
  },
  "usedStorage": 9521841474,
  "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."
    }
  ]
}
—
Task
task
Hugging Face modelstext-generation
receipt
Source
Hugging Face models
Its words
text-generation
Read by
field:pipeline_tag
Said since
2026-10-02 12:02 UTC
Last answered
2026-10-02 12:06 UTC
Original
open at the source
What the source handed over
{
  "_asked": "dams2005/gemma-3-4b-it-triplet-extractor",
  "_id": "6a1cd8b639fe6ce4eb1705b2",
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      "gemma-3"
    ]
  },
  "config": {
    "chat_template_jinja": "{{ bos_token }}\n{%- if messages[0]['role'] == 'system' -%}\n    {%- if messages[0]['content'] is string -%}\n        {%- set first_user_prefix = messages[0]['content'] + '\n\n' -%}\n    {%- else -%}\n        {%- set first_user_prefix = messages[0]['content'][0]['text'] + '\n\n' -%}\n    {%- endif -%}\n    {%- set loop_messages = messages[1:] -%}\n{%- else -%}\n    {%- set first_user_prefix = \"\" -%}\n    {%- set loop_messages = messages -%}\n{%- endif -%}\n{%- for message in loop_messages -%}\n    {%- if (message['role'] == 'user') != (loop.index0 % 2 == 0) -%}\n        {{ raise_exception(\"Conversation roles must alternate user/assistant/user/assistant/...\") }}\n    {%- endif -%}\n    {%- if (message['role'] == 'assistant') -%}\n        {%- set role = \"model\" -%}\n    {%- else -%}\n        {%- set role = message['role'] -%}\n    {%- endif -%}\n    {{ '<start_of_turn>' + role + '\n' + (first_user_prefix if loop.first else \"\") }}\n    {%- if message['content'] is string -%}\n        {{ message['content'] | trim }}\n    {%- elif message['content'] is iterable -%}\n        {%- for item in message['content'] -%}\n            {%- if item['type'] == 'image' -%}\n                {{ '<start_of_image>' }}\n            {%- elif item['type'] == 'text' -%}\n                {{ item['text'] | trim }}\n            {%- endif -%}\n        {%- endfor -%}\n    {%- else -%}\n        {{ raise_exception(\"Invalid content type\") }}\n    {%- endif -%}\n    {{ '<end_of_turn>\n' }}\n{%- endfor -%}\n{%- if add_generation_prompt -%}\n    {{'<start_of_turn>model\n'}}\n{%- endif -%}\n",
    "peft": {
      "base_model_name_or_path": "google/gemma-3-4b-it",
      "task_type": "CAUSAL_LM"
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    "tokenizer_config": {
      "bos_token": "<bos>",
      "eos_token": "<eos>",
      "mask_token": "<mask>",
      "pad_token": "<pad>",
      "unk_token": "<unk>",
      "use_default_system_prompt": false
    }
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  "createdAt": "2026-06-01T00:56:22.000Z",
  "disabled": false,
  "downloads": 11,
  "gated": false,
  "id": "dams2005/gemma-3-4b-it-triplet-extractor",
  "lastModified": "2026-06-17T11:04:03.000Z",
  "library_name": "peft",
  "likes": 1,
  "mask_token": "<mask>",
  "model-index": null,
  "modelId": "dams2005/gemma-3-4b-it-triplet-extractor",
  "pipeline_tag": "text-generation",
  "private": false,
  "sha": "f3532030bf4af3120d39467a6f5c5e55680b73be",
  "siblings": [
    {
      "rfilename": ".gitattributes"
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      "rfilename": "README.md"
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      "rfilename": "adapter_config.json"
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      "rfilename": "adapter_model.safetensors"
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      "rfilename": "chat_template.jinja"
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      "rfilename": "gptq-8bit/chat_template.jinja"
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      "rfilename": "gptq-8bit/model-00002-of-00002.safetensors"
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      "rfilename": "gptq-8bit/quant_log.csv"
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      "rfilename": "training_args.bin"
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  "spaces": [],
  "tags": [
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    "safetensors",
    "lora",
    "transformers",
    "knowledge-graph",
    "information-extraction",
    "relation-extraction",
    "triplet-extraction",
    "json",
    "gemma-3",
    "text-generation",
    "conversational",
    "base_model:google/gemma-3-4b-it",
    "base_model:adapter:google/gemma-3-4b-it",
    "license:gemma",
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  "transformersInfo": {
    "auto_model": "AutoModel"
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  "usedStorage": 9521841474,
  "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."
    }
  ]
}
—

model

dams2005/gemma-3-4b-it-triplet-extractor
zetlyn/models-hf · 2026-06-01
author dams2005 downloads 11 gated false licence gemma likes 1 task text-generation source

quantisation

andrasto/gemma-3-4b-it-triplet-extractor-F16-GGUF
zetlyn/models-gguf · 2026-09-30
author andrasto base dams2005/gemma-3-4b-it-triplet-extractor downloads 64 licence gemma likes 0 source