Autotrain compatible Conversational Emo Endpoints compatible Gemma Helpingai Region:us Safetensors Sharded Tensorflow
EMO 2B Benchmarks
ARC: 44.97 vs 96.7 (so35)-53.5%
HellaSwag: 64.06 vs 95.3 (gpt4)-32.8%
MMLU: 38.72 vs 88.3 (so35)-56.1%
TruthfulQA: 48.5 vs 59 (gpt4)-17.8%
WinoGrande: 62.19 vs 87.5 (gpt4)-28.9%
GSM8K: 7.13 vs 96.4 (so35)-92.6%
LLME Score: 0.29785
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)
EMO 2B Parameters and Internals
| LLM Name | EMO 2B |
| Repository 🤗 | https://huggingface.co/OEvortex/EMO-2B |
| Model Size | 2b |
| Required VRAM | 5.1 GB |
| Updated | 2024-09-07 |
| Maintainer | OEvortex |
| Model Type | gemma |
| Model Files | |
| Model Architecture | GemmaForCausalLM |
| License | apache-2.0 |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.40.1 |
| Tokenizer Class | GemmaTokenizer |
| Padding Token | <pad> |
| Vocabulary Size | 256002 |
| Torch Data Type | float16 |
Best Alternatives to EMO 2B
Best Alternatives |
Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| Gemma 1.1 2B It | 8K / 5.1 GB | 54841 | 131 |
| Codegemma 2B | 8K / 5.1 GB | 3640 | 67 |
| Octopus V2 | 8K / 5.1 GB | 866 | 848 |
| Gemma Ko 1.1 2B It | 8K / 5.1 GB | 1994 | 1 |
| Gemma 2B Ko V0 | 8K / 5 GB | 2060 | 0 |
| 2B Or Not 2B | 8K / 5.1 GB | 92 | 20 |
| Gemma 2B Ko Dev Pbmt192 | 8K / 5 GB | 2141 | 1 |
| Nidum Limitless Gemma 2B | 8K / 10 GB | 146 | 4 |
| Gemma 2B Data Std | 8K / 5.1 GB | 2068 | 1 |
| LION Gemma 2B Sft V1.0 | 8K / 5.1 GB | 15 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than OEvortex/EMO-2B .
Rank the EMO 2B Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803