Molmo 7B D 0924 by allenai

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  Arxiv:2409.17146   Autotrain compatible Base model:finetune:qwen/qwen2...   Base model:qwen/qwen2-7b   Conversational   Custom code   En   Image-text-to-text   Molmo   Multimodal   Olmo   Pixmo   Region:us   Safetensors   Sharded   Tensorflow

Molmo 7B D 0924 Benchmarks

nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").

Molmo 7B D 0924 Parameters and Internals

Model Type 
multimodal
Training Details 
Data Sources:
PixMo dataset
Data Volume:
1 million image-text pairs
LLM NameMolmo 7B D 0924
Repository ๐Ÿค—https://huggingface.co/allenai/Molmo-7B-D-0924 
Base Model(s)  openai/clip-vit-large-patch14-336   Qwen2 7B   openai/clip-vit-large-patch14-336   Qwen/Qwen2-7B
Model Size7b
Required VRAM32.2 GB
Updated2024-11-21
Maintainerallenai
Model Typemolmo
Model Files  5.0 GB: 1-of-7   5.0 GB: 2-of-7   4.7 GB: 3-of-7   4.7 GB: 4-of-7   4.7 GB: 5-of-7   4.3 GB: 6-of-7   3.8 GB: 7-of-7
Supported Languagesen
Model ArchitectureMolmoForCausalLM
Licenseapache-2.0
Context Length4096
Model Max Length4096
Transformers Version4.43.3
Tokenizer ClassQwen2Tokenizer
Padding Token<|endoftext|>
Vocabulary Size152064
Torch Data Typefloat32
Errorsreplace
Molmo 7B D 0924 (allenai/Molmo-7B-D-0924)

Quantized Models of the Molmo 7B D 0924

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VRAM
Molmo 7B D Bnb 4bit1368547 GB

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Rank the Molmo 7B D 0924 Capabilities

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Instruction Following and Task Automation  
Factuality and Completeness of Knowledge  
Censorship and Alignment  
Data Analysis and Insight Generation  
Text Generation  
Text Summarization and Feature Extraction  
Code Generation  
Multi-Language Support and Translation  

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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241110