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GPT Sw3 20B Instruct by AI-Sweden-Models

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GPT Sw3 20B Instruct is an open-source language model by AI-Sweden-Models. Features: 20b LLM, VRAM: 83.2GB, License: other, Instruction-Based, LLM Explorer Score: 0.12, Arc: 43.2, HellaSwag: 71.1, MMLU: 31.3, GSM8K: 8.8.

Base model:ai-sweden-models/gp... Base model:finetune:ai-sweden-...   Conversational   Da Dataset:databricks/databricks-...   Dataset:laion/oig   Dataset:openassistant/oasst1   Deploy:azure   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-sw3-20b-instruct 

GPT Sw3 20B Instruct Benchmarks

ARC: 43.17 vs 96.7 (so35)-55.4%
HellaSwag: 71.09 vs 95.3 (gpt4)-25.4%
MMLU: 31.32 vs 88.3 (so35)-64.5%
GSM8K: 8.79 vs 96.4 (so35)-90.9%
LLME Score: 0.12154
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
GPT Sw3 20B Instruct (AI-Sweden-Models/gpt-sw3-20b-instruct)
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GPT Sw3 20B Instruct Parameters and Internals

LLM NameGPT Sw3 20B Instruct
Repository 🤗https://huggingface.co/AI-Sweden-Models/gpt-sw3-20b-instruct 
Base Model(s)  GPT Sw3 20B   AI-Sweden-Models/gpt-sw3-20b
Model Size20b
Required VRAM83.2 GB
Updated2026-05-03
MaintainerAI-Sweden-Models
Model Typegpt2
Instruction-BasedYes
Model Files  9.5 GB: 1-of-9   9.7 GB: 2-of-9   9.7 GB: 3-of-9   9.7 GB: 4-of-9   9.7 GB: 5-of-9   9.7 GB: 6-of-9   9.7 GB: 7-of-9   9.7 GB: 8-of-9   5.8 GB: 9-of-9   9.5 GB: 1-of-9   9.7 GB: 2-of-9   9.7 GB: 3-of-9   9.7 GB: 4-of-9   9.7 GB: 5-of-9   9.7 GB: 6-of-9   9.7 GB: 7-of-9   9.7 GB: 8-of-9   5.8 GB: 9-of-9
Supported Languagesda sv en no is
Model ArchitectureGPT2LMHeadModel
Licenseother
Model Max Length2048
Transformers Version4.22.1
Tokenizer ClassGPTSw3Tokenizer
Padding Token<pad>
Vocabulary Size64000
Torch Data Typefloat32
Activation Functiongelu

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Note: green Score (e.g. "73.2") means that the model is better than AI-Sweden-Models/gpt-sw3-20b-instruct.

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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  
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Multi-Language Support and Translation  

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