allenai/Molmo2-O-7B
hf allenai/Molmo2-O-7B 2 sources, 2 claims · Watch
What each source says
| Property | Source | Said | Means here |
|---|---|---|---|
| Author author not compared | GGUF quantisations | mu2solutionsreceipt
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| Author author not compared | Hugging Face models | allenaireceipt
What the source handed over{
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} | — |
| Base base | GGUF quantisations | allenai/Molmo2-O-7Breceipt
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| Downloads downloads not compared | GGUF quantisations | 0receipt
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| Downloads downloads not compared | Hugging Face models | 17194receipt
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} | — |
| Gated gated | Hugging Face models | falsereceipt
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} | — |
| Licence licence | GGUF quantisations | apache-2.0receipt
What the source handed over{
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| Licence licence | Hugging Face models | apache-2.0receipt
What the source handed over{
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"AutoModelForImageTextToText": "modeling_molmo2.Molmo2ForConditionalGeneration"
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} | — |
| Likes likes not compared | GGUF quantisations | 0receipt
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| Likes likes not compared | Hugging Face models | 26receipt
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"AutoModelForImageTextToText": "modeling_molmo2.Molmo2ForConditionalGeneration"
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"chat_template_jinja": "{% set DEMO_STYLES = ['point_count','pointing','cosyn_point','user_qa','long_caption','short_caption','video_long_caption','video_short_caption','video_point_track_per_frame','video_point_track_start_end','video_point_track_all_frames','video_single_point_track_start_end','video_transcript','video_clip_caption_start_end','video_clip_caption_start_end_in_seconds','video_clip_transcript_start_end','video_clip_transcript_start_end_in_seconds','video_frame_caption_timestamp','video_frame_caption_timestamp_in_seconds','correction_qa','text_sft','video_point','video_point_count','video_count','video_count_point','multi_image_pointing','multi_image_counting','multi_image_point_then_count','multi_image_count_then_point','demo','a_okvqa_mc','ai2_diagram_no_letter','ai2_diagram','science_qa','multi_image_mc','multi_image_mc_exp','mantis_instruct_mc','video_multiple_choice','video_multiple_choice_count_without_pointing','video_multiple_choice_multiple_correct','video_multiple_choice_w_subtitle'] %}{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% set has_subtitle = messages and messages[0]['role'].lower() == 'subtitle' %}{% for message in messages %}{% if message['content'] is not string %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% elif content['type'] == 'video' or 'video' in content or 'video_url' in content %}{% set video_count.value = video_count.value + 1 %}{% endif %}{% endfor %}{% endif %}{% endfor %}{% if image_count.value == 1 %}{{ '<|image|>' }}{% elif image_count.value > 1 %}{% for i in range(image_count.value) %}{{ 'Image ' ~ (i + 1) ~ '<|image|>' }}{% endfor %}{% endif %}{% for _ in range(video_count.value) %}{{ '<|video|>' }}{% endfor %}{% if has_subtitle %}{{ messages[0]['content'] }}{% endif %}{% for message in messages %}{% set role = message['role'].lower() %}{% if role == 'subtitle' %}{% continue %}{% endif %}{% set conv_index = loop.index - (1 if has_subtitle else 0) %}{%- if (conv_index % 2 == 1 and role != 'user') or (conv_index % 2 == 0 and role != 'assistant') -%}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{%- endif -%}{% if message['content'] is string %}{% set text_content = message['content'] %}{% else %}{% set m = namespace(text='') %}{% for content in message['content'] %}{% if content['type'] == 'text' %}{% if content['style'] is defined and content['style'] not in DEMO_STYLES %}{% set seg = content['style'] ~ ': ' ~ content['text'] %}{% else %}{% set seg = content['text'] %}{% endif %}{% set m.text = m.text ~ ('' if not m.text else ' ') ~ seg %}{% endif %}{% endfor %}{% set text_content = m.text %}{% endif %}{% if role == 'user' %}{% if not (has_subtitle and loop.index == 2) and not (not has_subtitle and loop.first) %}{{ '<|im_end|>\\n' }}{% endif %}{{ '<|im_start|>user\\n' }}{{ text_content }}{{ '<|im_end|>\\n' }}{% else %} {# assistant #}{{ '<|im_start|>assistant\\n' }}{{ text_content }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\\n' }}{% endif %}",
"model_type": "molmo2",
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"eos_token": "<|endoftext|>",
"pad_token": "<|pad|>",
"unk_token": "<|endoftext|>"
}
},
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"disabled": false,
"downloads": 17194,
"gated": false,
"id": "allenai/Molmo2-O-7B",
"lastModified": "2026-01-23T01:04:05.000Z",
"library_name": "transformers",
"likes": 26,
"model-index": null,
"modelId": "allenai/Molmo2-O-7B",
"pipeline_tag": "image-text-to-text",
"private": false,
"safetensors": {
"parameters": {
"F32": 7760786896
},
"total": 7760786896
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"sha": "784410650d12be9bc086118fdefa32d2c3bced86",
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"rfilename": "README.md"
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{
"rfilename": "configuration_molmo2.py"
},
{
"rfilename": "generation_config.json"
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"rfilename": "image_processing_molmo2.py"
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{
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},
{
"rfilename": "model-00007-of-00007.safetensors"
},
{
"rfilename": "model.safetensors.index.json"
},
{
"rfilename": "modeling_molmo2.py"
},
{
"rfilename": "molmo_2_logo_RGB.png"
},
{
"rfilename": "preprocessor_config.json"
},
{
"rfilename": "processing_molmo2.py"
},
{
"rfilename": "processor_config.json"
},
{
"rfilename": "special_tokens_map.json"
},
{
"rfilename": "tokenizer.json"
},
{
"rfilename": "tokenizer_config.json"
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{
"rfilename": "video_preprocessor_config.json"
},
{
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},
{
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],
"spaces": [],
"tags": [
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"safetensors",
"molmo2",
"image-text-to-text",
"multimodal",
"olmo",
"molmo",
"conversational",
"custom_code",
"en",
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"dataset:allenai/Molmo2-VideoCapQA",
"dataset:allenai/Molmo2-VideoSubtitleQA",
"dataset:allenai/Molmo2-AskModelAnything",
"dataset:allenai/Molmo2-VideoPoint",
"dataset:allenai/Molmo2-VideoTrack",
"dataset:allenai/Molmo2-MultiImageQA",
"dataset:allenai/Molmo2-SynMultiImageQA",
"dataset:allenai/Molmo2-MultiImagePoint",
"base_model:allenai/Olmo-3-7B-Instruct",
"base_model:finetune:allenai/Olmo-3-7B-Instruct",
"license:apache-2.0",
"region:us"
],
"transformersInfo": {
"auto_model": "AutoModelForImageTextToText",
"custom_class": "modeling_molmo2.Molmo2ForConditionalGeneration",
"pipeline_tag": "image-text-to-text"
},
"usedStorage": 31043241424,
"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 models | image-text-to-textreceipt
What the source handed over{
"_asked": "allenai/Molmo2-O-7B",
"_id": "693f484f932ed03ff6e8d520",
"author": "allenai",
"cardData": {
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"allenai/Olmo-3-7B-Instruct"
],
"datasets": [
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"allenai/Molmo2-VideoCapQA",
"allenai/Molmo2-VideoSubtitleQA",
"allenai/Molmo2-AskModelAnything",
"allenai/Molmo2-VideoPoint",
"allenai/Molmo2-VideoTrack",
"allenai/Molmo2-MultiImageQA",
"allenai/Molmo2-SynMultiImageQA",
"allenai/Molmo2-MultiImagePoint"
],
"language": [
"en"
],
"library_name": "transformers",
"license": "apache-2.0",
"pipeline_tag": "image-text-to-text",
"tags": [
"multimodal",
"olmo",
"molmo",
"molmo2"
]
},
"config": {
"architectures": [
"Molmo2ForConditionalGeneration"
],
"auto_map": {
"AutoConfig": "configuration_molmo2.Molmo2Config",
"AutoModelForImageTextToText": "modeling_molmo2.Molmo2ForConditionalGeneration"
},
"chat_template_jinja": "{% set DEMO_STYLES = ['point_count','pointing','cosyn_point','user_qa','long_caption','short_caption','video_long_caption','video_short_caption','video_point_track_per_frame','video_point_track_start_end','video_point_track_all_frames','video_single_point_track_start_end','video_transcript','video_clip_caption_start_end','video_clip_caption_start_end_in_seconds','video_clip_transcript_start_end','video_clip_transcript_start_end_in_seconds','video_frame_caption_timestamp','video_frame_caption_timestamp_in_seconds','correction_qa','text_sft','video_point','video_point_count','video_count','video_count_point','multi_image_pointing','multi_image_counting','multi_image_point_then_count','multi_image_count_then_point','demo','a_okvqa_mc','ai2_diagram_no_letter','ai2_diagram','science_qa','multi_image_mc','multi_image_mc_exp','mantis_instruct_mc','video_multiple_choice','video_multiple_choice_count_without_pointing','video_multiple_choice_multiple_correct','video_multiple_choice_w_subtitle'] %}{% set image_count = namespace(value=0) %}{% set video_count = namespace(value=0) %}{% set has_subtitle = messages and messages[0]['role'].lower() == 'subtitle' %}{% for message in messages %}{% if message['content'] is not string %}{% for content in message['content'] %}{% if content['type'] == 'image' or 'image' in content or 'image_url' in content %}{% set image_count.value = image_count.value + 1 %}{% elif content['type'] == 'video' or 'video' in content or 'video_url' in content %}{% set video_count.value = video_count.value + 1 %}{% endif %}{% endfor %}{% endif %}{% endfor %}{% if image_count.value == 1 %}{{ '<|image|>' }}{% elif image_count.value > 1 %}{% for i in range(image_count.value) %}{{ 'Image ' ~ (i + 1) ~ '<|image|>' }}{% endfor %}{% endif %}{% for _ in range(video_count.value) %}{{ '<|video|>' }}{% endfor %}{% if has_subtitle %}{{ messages[0]['content'] }}{% endif %}{% for message in messages %}{% set role = message['role'].lower() %}{% if role == 'subtitle' %}{% continue %}{% endif %}{% set conv_index = loop.index - (1 if has_subtitle else 0) %}{%- if (conv_index % 2 == 1 and role != 'user') or (conv_index % 2 == 0 and role != 'assistant') -%}{{ raise_exception('Conversation roles must alternate user/assistant/user/assistant/...') }}{%- endif -%}{% if message['content'] is string %}{% set text_content = message['content'] %}{% else %}{% set m = namespace(text='') %}{% for content in message['content'] %}{% if content['type'] == 'text' %}{% if content['style'] is defined and content['style'] not in DEMO_STYLES %}{% set seg = content['style'] ~ ': ' ~ content['text'] %}{% else %}{% set seg = content['text'] %}{% endif %}{% set m.text = m.text ~ ('' if not m.text else ' ') ~ seg %}{% endif %}{% endfor %}{% set text_content = m.text %}{% endif %}{% if role == 'user' %}{% if not (has_subtitle and loop.index == 2) and not (not has_subtitle and loop.first) %}{{ '<|im_end|>\\n' }}{% endif %}{{ '<|im_start|>user\\n' }}{{ text_content }}{{ '<|im_end|>\\n' }}{% else %} {# assistant #}{{ '<|im_start|>assistant\\n' }}{{ text_content }}{% endif %}{% endfor %}{% if add_generation_prompt %}{{ '<|im_start|>assistant\\n' }}{% endif %}",
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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."
}
]
} | — |
model
| allenai/Molmo2-O-7B zetlyn/models-hf · 2025-12-14 | author allenai downloads 17194 gated false licence apache-2.0 likes 26 task image-text-to-text | source |
quantisation
| mu2solutions/Molmo2-O-7B-GGUF zetlyn/models-gguf · 2026-09-03 | author mu2solutions base allenai/Molmo2-O-7B downloads 0 licence apache-2.0 likes 0 | source |