What are the hardware requirements for Molmo 7B O 0924?

Molmo 7B O 0924 requires approximately 30.9 GB of VRAM and supports a context window of 4K tokens. Quantized variants may run on less VRAM; see the Quantized Models section on this page.

Who developed Molmo 7B O 0924 and how large is it?

Molmo 7B O 0924 is developed by allenai, a model with 7b parameters. The model is published as open weights on Hugging Face and indexed on LLM Explorer with full benchmark history.

Where can I download or evaluate Molmo 7B O 0924?

Molmo 7B O 0924 is hosted on Hugging Face and linked from this page. LLM Explorer also lists quantized variants and similar alternatives if available.

Molmo 7B O 0924 by allenai — VRAM 30.9GB, 4K context

Name: Molmo 7B O 0924
Author: allenai

Molmo 7B O 0924 is an open-source language model by allenai. Features: 7b LLM, VRAM: 30.9GB, Context: 4K, License: apache-2.0, LLM Explorer Score: 0.17.

Arxiv:2409.17146 Base model:finetune:openai/cli... Base model:openai/clip-vit-lar... Conversational Custom code En Image-text-to-text Molmo Multimodal Olmo Pixmo Region:us Safetensors Sharded Tensorflow

Model Card on HF 🤗: https://huggingface.co/allenai/Molmo-7B-O-0924

Molmo 7B O 0924 Parameters and Internals

Model Type

multimodal, image-text-to-text

Use Cases

Areas:

research, educational applications

Limitations:

struggles with transparent images

Additional Notes

Checkpoint is a preview of the Molmo release. All artifacts used in the creation will be made available later.

Supported Languages

en (fluent)

Training Details

Data Sources:

PixMo dataset, containing 1 million highly-curated image-text pairs

Data Volume:

1 million image-text pairs

Methodology:

Based on OLMo-7B-1124 and OpenAI CLIP

Input Output

Input Format:

Image input via PIL image object, text via a string

Accepted Modalities:

image, text

Output Format:

Generated text from image and text input

Performance Tips:

Convert images to RGB format and handle transparent images with a background

LLM Name	Molmo 7B O 0924
Repository 🤗	https://huggingface.co/allenai/Molmo-7B-O-0924
Base Model(s)	openai/clip-vit-large-patch14-336 allenai/OLMo-7B-1124 openai/clip-vit-large-patch14-336 allenai/OLMo-7B-1124
Model Size	7b
Required VRAM	30.9 GB
Updated	2026-08-06
Maintainer	allenai
Model Type	molmo
Model Files	5.0 GB: 1-of-7 4.9 GB: 2-of-7 4.9 GB: 3-of-7 4.9 GB: 4-of-7 4.9 GB: 5-of-7 5.0 GB: 6-of-7 1.3 GB: 7-of-7
Supported Languages	en
Model Architecture	MolmoForCausalLM
License	apache-2.0
Context Length	4096
Model Max Length	4096
Transformers Version	4.43.3
Tokenizer Class	GPT2Tokenizer
Padding Token	<\|pad\|>
Vocabulary Size	100278
Torch Data Type	float32

Rank the Molmo 7B O 0924 capabilities

Have you tried this model? Rate its performance — this feedback helps the ML community find the right model for their needs.

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

Quantized Models of the Molmo 7B O 0924

Model	Likes	Downloads	VRAM
Molmo 7B O Bnb 4bit	11	347	6 GB

Best Alternatives to Molmo 7B O 0924

Best Alternatives	Context / RAM	Downloads	Likes
Molmo 7B D 0924	4K / 32.2 GB	18869	567
Molmo 7B D 0924 Bf16	4K / 16.1 GB	36	1
Molmo 7B D 0924 4bit	4K / 5.3 GB	185	2
Molmo 7B D 0924 8bit	4K / 9 GB	44	1
Molmo 7B O Bnb 4bit	4K / 6.8 GB	347	11
Molmo 7B D Bnb 4bit	4K / 7.9 GB	163	17

Note: green Score (e.g. "73.2") means that the model is better than allenai/Molmo-7B-O-0924.