GPT Sw3 126M Instruct is an open-source language model by AI-Sweden-Models. Features: 126m LLM, VRAM: 0.6GB, License: other, Instruction-Based, HF Score: 28.2, LLM Explorer Score: 0.12, Arc: 23.4, HellaSwag: 29.9, MMLU: 23.8, TruthfulQA: 42.7, WinoGrande: 48.5, GSM8K: 1.
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 Sv
Model Card on HF 🤗: https://huggingface.co/AI-Sweden-Models/gpt-sw3-126m-instruct
GPT Sw3 126M Instruct Benchmarks
ARC: 23.38 vs 96.7 (so35)-75.8%
HellaSwag: 29.88 vs 95.3 (gpt4)-68.6%
MMLU: 23.78 vs 88.3 (so35)-73.1%
TruthfulQA: 42.65 vs 59 (gpt4)-27.7%
WinoGrande: 48.54 vs 87.5 (gpt4)-44.5%
GSM8K: 0.99 vs 96.4 (so35)-99%
LLME Score: 0.1242
nn.n% — How the model compares to the reference models: Anthropic Sonnet 3.5 ("so35"), GPT-4o ("gpt4o") or GPT-4 ("gpt4").
What is the LLM Explorer Rank (Score)
GPT Sw3 126M Instruct Parameters and Internals
| LLM Name | GPT Sw3 126M Instruct |
| Repository 🤗 | https://huggingface.co/AI-Sweden-Models/gpt-sw3-126m-instruct |
| Base Model(s) | |
| Model Size | 126m |
| Required VRAM | 0.6 GB |
| Updated | 2026-02-18 |
| Maintainer | AI-Sweden-Models |
| Model Type | gpt2 |
| Instruction-Based | Yes |
| Model Files | |
| Supported Languages | da sv no en is |
| Model Architecture | GPT2LMHeadModel |
| License | other |
| Model Max Length | 2048 |
| Transformers Version | 4.22.1 |
| Tokenizer Class | GPTSw3Tokenizer |
| Padding Token | <pad> |
| Vocabulary Size | 64000 |
| Torch Data Type | float32 |
| Activation Function | gelu |
Rank the GPT Sw3 126M Instruct Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
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Release v20260328a