Model Card on HF 🤗: https://huggingface.co/monteir-03/gemma_2b_qlora_alpaca_e3
Gemma 2b Qlora Alpaca E3 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 2B Qlora Alpaca E3 Parameters and Internals
| LLM Name | Gemma 2b Qlora Alpaca E3 |
| Repository 🤗 | https://huggingface.co/monteir-03/gemma_2b_qlora_alpaca_e3 |
| Model Size | 2b |
| Required VRAM | 5 GB |
| Updated | 2024-11-04 |
| Maintainer | monteir-03 |
| Model Type | gemma |
| Model Files | |
| Model Architecture | GemmaForCausalLM |
| Context Length | 8192 |
| Model Max Length | 8192 |
| Transformers Version | 4.40.2 |
| Tokenizer Class | GemmaTokenizer |
| Padding Token | <pad> |
| Vocabulary Size | 256000 |
| Torch Data Type | float16 |
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| Gemma 2B Orpo | 8K / 5.1 GB | 32 | 28 |
| LION Gemma 2B Odpo V1.0 | 8K / 10 GB | 17 | 4 |
Note: green Score (e.g. "73.2") means that the model is better than monteir-03/gemma_2b_qlora_alpaca_e3 .
Rank the Gemma 2B Qlora Alpaca E3 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v20241124