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GPT Sw3 6.7B V2 Instruct by AI-Sweden-Models

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GPT Sw3 6.7B V2 Instruct is an open-source language model by AI-Sweden-Models. Features: 6.7b LLM, VRAM: 28.1GB, License: other, Instruction-Based, HF Score: 41.7, LLM Explorer Score: 0.12, Arc: 40.8, HellaSwag: 67.8, MMLU: 31.6, TruthfulQA: 40.3, WinoGrande: 63.5, GSM8K: 6.4.

Base model:ai-sweden-models/gp... Base model:finetune:ai-sweden-...   Conversational   Da Dataset:databricks/databricks-...   Dataset:laion/oig   Dataset:openassistant/oasst1   En   Endpoints compatible   Gpt2   Instruct   Is   No   Pytorch   Region:us   Safetensors   Sharded   Sv   Tensorflow
Model Card on HF 🤗: https://huggingface.co/AI-Sweden-Models/gpt-sw3-6.7b-v2-instruct 

GPT Sw3 6.7B V2 Instruct Benchmarks

ARC: 40.78 vs 96.7 (so35)-57.8%
HellaSwag: 67.77 vs 95.3 (gpt4)-28.9%
MMLU: 31.57 vs 88.3 (so35)-64.2%
TruthfulQA: 40.32 vs 59 (gpt4)-31.7%
WinoGrande: 63.54 vs 87.5 (gpt4)-27.4%
GSM8K: 6.37 vs 96.4 (so35)-93.4%
LLME Score: 0.12491
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
GPT Sw3 6.7B V2 Instruct (AI-Sweden-Models/gpt-sw3-6.7b-v2-instruct)
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GPT Sw3 6.7B V2 Instruct Parameters and Internals

Model Type 
language model, text generation
Use Cases 
Areas:
Nordic NLP ecosystem
Applications:
Pre-release for research and evaluation of the capabilities of Large Language Models for the Nordic languages.
Primary Use Cases:
GPT-SW3 can generate coherent text in multiple languages and perform text tasks by casting them as text generation tasks.
Limitations:
Bias, Safety, Generation diversity issues, Hallucination, Overrepresentation/Underrepresentation of certain viewpoints, Stereotypes, May generate inappropriate content
Supported Languages 
da (Unknown), sv (Unknown), no (Unknown), en (Unknown), is (Unknown)
Training Details 
Data Sources:
laion/OIG, databricks/databricks-dolly-15k, OpenAssistant/oasst1
Data Volume:
320B tokens
Methodology:
Trained with the NeMo Megatron GPT implementation.
Model Architecture:
Decoder-only transformer language model.
Input Output 
Input Format:
Raw text or instruction data in chat format.
Accepted Modalities:
text
Output Format:
Generated text
LLM NameGPT Sw3 6.7B V2 Instruct
Repository 🤗https://huggingface.co/AI-Sweden-Models/gpt-sw3-6.7b-v2-instruct 
Base Model(s)  AI-Sweden-Models/gpt-sw3-6.7b-v2   AI-Sweden-Models/gpt-sw3-6.7b-v2
Model Size6.7b
Required VRAM28.1 GB
Updated2026-04-07
MaintainerAI-Sweden-Models
Model Typegpt2
Instruction-BasedYes
Model Files  10.0 GB: 1-of-3   10.0 GB: 2-of-3   8.1 GB: 3-of-3   10.0 GB: 1-of-3   10.0 GB: 2-of-3   8.1 GB: 3-of-3
Supported Languagesda sv no en is
Model ArchitectureGPT2LMHeadModel
Licenseother
Model Max Length2048
Transformers Version4.22.1
Tokenizer ClassGPTSw3Tokenizer
Padding Token<pad>
Vocabulary Size64000
Torch Data Typefloat32
Activation Functiongelu

Rank the GPT Sw3 6.7B V2 Instruct 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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