Mistral 7B Orca DPO 2h Benchmarks
ARC: 73.12 vs 96.7 (so35)-24.4%
HellaSwag: 88.65 vs 95.3 (gpt4)-7%
MMLU: 64.99 vs 88.3 (so35)-26.4%
TruthfulQA: 71.31 vs 59 (gpt4)20.9%
WinoGrande: 84.21 vs 87.5 (gpt4)-3.8%
GSM8K: 70.58 vs 96.4 (so35)-26.8%
LLME Score: 0.18756
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)
Mistral 7B Orca DPO 2h Parameters and Internals
| LLM Name | Mistral 7B Orca DPO 2h |
| Repository 🤗 | https://huggingface.co/SC56/Mistral-7B-orca-dpo-2h |
| Model Size | 7b |
| Required VRAM | 0.1 GB |
| Updated | 2024-10-18 |
| Maintainer | SC56 |
| Model Files | |
| Model Architecture | Adapter |
| License | cc-by-4.0 |
| Is Biased | none |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | up_proj|o_proj|down_proj|v_proj|k_proj|gate_proj|q_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0.05 |
| R Param | 16 |
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Note: green Score (e.g. "73.2") means that the model is better than SC56/Mistral-7B-orca-dpo-2h .
Rank the Mistral 7B Orca DPO 2h Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803