Model Card on HF 🤗: https://huggingface.co/mncai/SGPT-1.3B-insurance-epoch10
SGPT 1.3B Insurance Epoch10 Benchmarks
ARC: 24.57 vs 96.7 (so35)-74.6%
HellaSwag: 24.25 vs 95.3 (gpt4)-74.6%
MMLU: 25.23 vs 88.3 (so35)-71.4%
TruthfulQA: 45.24 vs 59 (gpt4)-23.3%
WinoGrande: 50.91 vs 87.5 (gpt4)-41.8%
LLME Score: 0.18364
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)
SGPT 1.3B Insurance Epoch10 Parameters and Internals
| LLM Name | SGPT 1.3B Insurance Epoch10 |
| Repository 🤗 | https://huggingface.co/mncai/SGPT-1.3B-insurance-epoch10 |
| Model Size | 1.3b |
| Required VRAM | 5.4 GB |
| Updated | 2025-02-22 |
| Maintainer | mncai |
| Model Type | gpt_neox |
| Model Files | |
| Model Architecture | GPTNeoXForCausalLM |
| Context Length | 2048 |
| Model Max Length | 2048 |
| Transformers Version | 4.28.1 |
| Tokenizer Class | PreTrainedTokenizerFast |
| Padding Token | <|endoftext|> |
| Vocabulary Size | 30080 |
| Torch Data Type | float32 |
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| Pygmalion Free | 2K / 2.9 GB | 67 | 0 |
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| Koquality Polyglot 1.3B | 2K / 5.3 GB | 2034 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than mncai/SGPT-1.3B-insurance-epoch10 .
Rank the SGPT 1.3B Insurance Epoch10 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227