Mistral 7B Instruct V0.2 Summ DPO Ed2 Benchmarks
ARC: 74.4 vs 96.7 (so35)-23.1%
HellaSwag: 89.29 vs 95.3 (gpt4)-6.3%
MMLU: 64.23 vs 88.3 (so35)-27.3%
TruthfulQA: 72.34 vs 59 (gpt4)22.6%
WinoGrande: 84.14 vs 87.5 (gpt4)-3.8%
GSM8K: 67.63 vs 96.4 (so35)-29.8%
LLME Score: 0.18788
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 Instruct V0.2 Summ DPO Ed2 Parameters and Internals
| LLM Name | Mistral 7B Instruct V0.2 Summ DPO Ed2 |
| Repository 🤗 | https://huggingface.co/YouKnowMee/Mistral-7b-instruct-v0.2-summ-dpo-ed2 |
| Model Size | 7b |
| Required VRAM | 0.1 GB |
| Updated | 2024-10-08 |
| Maintainer | YouKnowMee |
| Instruction-Based | Yes |
| Model Files | |
| Model Architecture | Adapter |
| License | cc-by-nc-4.0 |
| Is Biased | none |
| PEFT Type | LORA |
| LoRA Model | Yes |
| PEFT Target Modules | down_proj|q_proj|v_proj|o_proj|gate_proj|k_proj|up_proj |
| LoRA Alpha | 16 |
| LoRA Dropout | 0.05 |
| R Param | 16 |
Best Alternatives to Mistral 7B Instruct V0.2 Summ DPO Ed2
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Context / RAM |
Downloads |
Likes |
|---|---|---|---|
| ...Sql Flash Attention 2 Dataeval | 0K / 1.9 GB | 455 | 3 |
| Lora Adapted Mistral 7B | 0K / 0 GB | 50 | 0 |
| ...82 6142 45d8 9455 Bc68ca4866eb | 0K / 1.2 GB | 6 | 0 |
| ...al 7B Instruct V0.3 1719301256 | 0K / 0.9 GB | 9 | 0 |
| Text To Rule Mistral 2 | 0K / 0.3 GB | 6 | 0 |
| ...al 7B Instruct V0.3 1719246505 | 0K / 0 GB | 9 | 0 |
| ...al 7B Instruct V0.3 1719297750 | 0K / 0.4 GB | 6 | 0 |
| Text To Rule Mistral | 0K / 0.4 GB | 6 | 0 |
| ...al 7B Instruct V0.3 1719341325 | 0K / 1.7 GB | 6 | 0 |
| ...al 7B Instruct V0.3 1719350528 | 0K / 0.9 GB | 5 | 0 |
Note: green Score (e.g. "73.2") means that the model is better than YouKnowMee/Mistral-7b-instruct-v0.2-summ-dpo-ed2 .
Rank the Mistral 7B Instruct V0.2 Summ DPO Ed2 Capabilities
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Original data from HuggingFace, OpenCompass and various public git repos.
Release v2024072803