Model Card on HF 🤗: https://huggingface.co/PursuitOfDataScience/Argonne-1.0
Argonne 1.0 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)
Argonne 1.0 Parameters and Internals
| LLM Name | Argonne 1.0 |
| Repository 🤗 | https://huggingface.co/PursuitOfDataScience/Argonne-1.0 |
| Required VRAM | 1.3 GB |
| Updated | 2025-07-15 |
| Maintainer | PursuitOfDataScience |
| Model Type | argonne |
| Model Files | |
| Supported Languages | en |
| Model Architecture | ArgonneModelParallel |
| License | mit |
| Transformers Version | 4.47.0 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <pad> |
| Vocabulary Size | 12000 |
| Torch Data Type | float32 |
Rank the Argonne 1.0 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124