A

Ahma 7B

Developed by Finnish-NLP
Ahma-7B is a 7-billion-parameter decoder-only Transformer model based on Meta Llama(v1) architecture, fully pretrained from scratch using Finnish language.
Downloads 201
Release Time : 2/10/2024

Model Overview

Ahma-7B is an open-source large language model specifically optimized for Finnish, employing a two-stage pretraining approach with instruction-following capabilities.

Model Features

Pure Finnish training
Completely trained from scratch using Finnish text without interference from other languages
Two-stage pretraining
First stage uses noisier web data, second stage uses cleaner data mixed with instruction data
Instruction-following capability
Includes single-turn instruction-following examples during pretraining, with basic instruction understanding
High-quality data filtering
Employs multiple methods for training data filtering including toxicity classification, perplexity analysis and deduplication

Model Capabilities

Finnish text generation
Instruction following
Question answering
Text completion

Use Cases

Education
Finnish learning assistance
Helps non-native speakers learn Finnish grammar and expressions
Customer service
Finnish customer service bot
Provides localized customer support for Finnish businesses
Featured Recommended AI Models
AIbase
Empowering the Future, Your AI Solution Knowledge Base
© 2025AIbase