Arxiv:1910.09700 Autotrain compatible Conversational Endpoints compatible Gemma Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/core-outline/rheia
Rheia 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)
Rheia Parameters and Internals
| LLM Name | Rheia |
| Repository 🤗 | https://huggingface.co/core-outline/rheia |
| Model Size | 2b |
| Required VRAM | 5.1 GB |
| Updated | 2025-08-17 |
| Maintainer | core-outline |
| Model Type | gemma |
| Model Files | |
| Model Architecture | GemmaForCausalLM |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.38.0 |
| Tokenizer Class | GemmaTokenizer |
| Padding Token | <eos> |
| Vocabulary Size | 256000 |
| Torch Data Type | float16 |
Best Alternatives to Rheia
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Gemma 1.1 2B It | 8K / 5.1 GB | 189555 | 165 |
| Pandas Tutor Gemma 2B | 8K / 5.1 GB | 56 | 1 |
| Caca Tinny 2B V3 | 8K / 5.1 GB | 30 | 1 |
| Codegemma 2B | 8K / 5.1 GB | 9852 | 84 |
| Gemma Qlora Customer Support | 8K / 5.1 GB | 7 | 0 |
| Gemma Ko 1.1 2B It | 8K / 5.1 GB | 1039 | 1 |
| ... 2B Finetuned Sft Navarasa 2.0 | 8K / 10 GB | 1028 | 26 |
| EMO 2B | 8K / 5.1 GB | 2049 | 2 |
| Gemma 2B Orpo | 8K / 5.1 GB | 480 | 28 |
| Octopus V2 | 8K / 5.1 GB | 1387 | 885 |
Note: green Score (e.g. "73.2") means that the model is better than core-outline/rheia .
Rank the Rheia Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124