Arxiv:1910.09700 Autotrain compatible Endpoints compatible Gemma2 Region:us Safetensors Sharded Tensorflow
Model Card on HF 🤗: https://huggingface.co/AMindToThink/gemma-2-2b_RMU_cyber-forget-corpus_s400_a300_layer7
Gemma 2 2b RMU Cyber Forget Corpus S400 A300 Layer7 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)
Gemma 2 2B RMU Cyber Forget Corpus S400 A300 Layer7 Parameters and Internals
| LLM Name | Gemma 2 2b RMU Cyber Forget Corpus S400 A300 Layer7 |
| Repository 🤗 | https://huggingface.co/AMindToThink/gemma-2-2b_RMU_cyber-forget-corpus_s400_a300_layer7 |
| Model Size | 2b |
| Required VRAM | 10.5 GB |
| Updated | 2025-07-02 |
| Maintainer | AMindToThink |
| Model Type | gemma2 |
| Model Files | |
| Model Architecture | Gemma2ForCausalLM |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.49.0 |
| Tokenizer Class | GemmaTokenizer |
| Padding Token | <eos> |
| Vocabulary Size | 256000 |
| Torch Data Type | float32 |
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| SJT 2B | 128K / 5.2 GB | 32 | 0 |
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| ...mma 2 2B Jpn It Finetuning Sft | 8K / 5.2 GB | 11 | 0 |
| Gemma 2 2B It | 8K / 5.2 GB | 421819 | 908 |
| Gemma 2 2B | 8K / 10.5 GB | 182986 | 487 |
| Gemma 2 2B Jpn It | 8K / 5.2 GB | 11797 | 188 |
| GemmaX2 28 2B V0.1 | 8K / 6.4 GB | 6681 | 92 |
| Gemma2Slerp2 2.6B | 8K / 5.3 GB | 85 | 2 |
| ...emma 2 2B It Chinese Kyara DPO | 8K / 15.7 GB | 2292 | 13 |
| GaMS 2B | 8K / 12.8 GB | 1862 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than AMindToThink/gemma-2-2b_RMU_cyber-forget-corpus_s400_a300_layer7 .
Rank the Gemma 2 2B RMU Cyber Forget Corpus S400 A300 Layer7 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124