Ai assistent Ai-training Automatisierung Autotrain compatible Base model:finetune:kkirchheim... Base model:kkirchheim/german-g... Budget server Chatbot Dataset:atomic-ai/atomicgpt-3.... De Deep learning Deutsch Effizientes modell Endpoints compatible Forschung German nlp Gpt-2 Gpt-2 fine-tuning Gpt2 Intelligente antworten Ki Ki-optimierung Künstliche intelligenz Legal Low-end hardware Machine learning Modelltraining Natural language processing Open source Region:us Safetensors Smart ai Sprachmodell Sprachverarbeitung Textanalyse Textgenerierung
Model Card on HF 🤗: https://huggingface.co/Atomic-Ai/AtomicGPT-3
AtomicGPT 3 Benchmarks
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)
AtomicGPT 3 Parameters and Internals
| LLM Name | AtomicGPT 3 |
| Repository 🤗 | https://huggingface.co/Atomic-Ai/AtomicGPT-3 |
| Base Model(s) | |
| Model Size | 355.9m |
| Required VRAM | 1.4 GB |
| Updated | 2025-09-21 |
| Maintainer | Atomic-Ai |
| Model Type | gpt2 |
| Model Files | |
| Supported Languages | de |
| Model Architecture | GPT2LMHeadModel |
| License | mit |
| Transformers Version | 4.47.0 |
| Tokenizer Class | GPT2Tokenizer |
| Padding Token | [PAD] |
| Vocabulary Size | 50270 |
| Torch Data Type | float32 |
| Activation Function | gelu_new |
Rank the AtomicGPT 3 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124