AIbase
EN
Home
Molmo 7B O Bnb 4bit
M

Molmo 7B O Bnb 4bit

Developed by cyan2k
The 4-bit quantized version of Molmo-7B-O, significantly reducing the memory requirement and suitable for environments with limited resources.
Large Language Model
Transformers
Open Source License:Apache-2.0#Efficient quantization#Low memory requirement#Large model compression
Downloads 2,467
Release Time : 9/25/2024

Model Overview

This model compresses the original 30GB model to 7GB through 4-bit quantization technology, requiring only about 12GB of memory during runtime. It is suitable for scenarios that require efficient operation of large language models.

Model Features

Efficient quantization
Using 4-bit quantization technology, the model size is compressed from 30GB to 7GB, significantly reducing storage and memory requirements.
Low memory requirement
Only about 12GB of memory is required during runtime, suitable for hardware environments with limited resources.
Performance retention
The model still maintains good performance after quantization (specific performance metrics to be announced).

Model Capabilities

Text generation
Language understanding
Text summarization

Use Cases

Resource-constrained environments
Local deployment
Deploy large language models on personal computers or servers with limited memory
Achieve efficient operation with a 12GB memory requirement
Research and development
Model quantization research
Serve as a benchmark model for quantization technology research
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
EnglishįŽ€äŊ“中文įšéĢ”中文ãĢãģんご
Š 2025AIbase