Model Card on HF 🤗: https://huggingface.co/HanningZhang/MathReward-2b
MathReward 2B 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)
MathReward 2B Parameters and Internals
| LLM Name | MathReward 2B |
| Repository 🤗 | https://huggingface.co/HanningZhang/MathReward-2b |
| Model Size | 2b |
| Required VRAM | 6.1 GB |
| Updated | 2025-02-18 |
| Maintainer | HanningZhang |
| Model Type | gemma |
| Model Files | |
| Model Architecture | GemmaForCausalLM |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.40.0 |
| Tokenizer Class | GemmaTokenizer |
| Padding Token | <pad> |
| Vocabulary Size | 256000 |
| Torch Data Type | bfloat16 |
Best Alternatives to MathReward 2B
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Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Gemma 1.1 2B It | 8K / 5.1 GB | 107608 | 154 |
| Codegemma 2B | 8K / 5.1 GB | 4805 | 78 |
| Gemma Ko 1.1 2B It | 8K / 5.1 GB | 2182 | 1 |
| EMO 2B | 8K / 5.1 GB | 4095 | 2 |
| Octopus V2 | 8K / 5.1 GB | 1229 | 880 |
| LION Gemma 2B Sft V1.0 | 8K / 5.1 GB | 149 | 0 |
| Gemma2b Lungcancerqa | 8K / 3.1 GB | 81 | 2 |
| ... 2B Finetuned Sft Navarasa 2.0 | 8K / 10 GB | 248 | 21 |
| 2B Or Not 2B | 8K / 5.1 GB | 76 | 27 |
| Gemma 2B Orpo | 8K / 5.1 GB | 115 | 28 |
Note: green Score (e.g. "73.2") means that the model is better than HanningZhang/MathReward-2b .
Rank the MathReward 2B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241227