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Stella-mistral-nemo-12B-v2 - GGUF
- Model creator: https://huggingface.co/nbeerbower/
- Original model: https://huggingface.co/nbeerbower/Stella-mistral-nemo-12B-v2/
Original model description:
library_name: transformers tags: - mergekit - merge base_model: - nbeerbower/mistral-nemo-gutenberg-12B-v3 - nbeerbower/Lyra-Gutenberg-mistral-nemo-12B - nbeerbower/mistral-nemo-gutenberg-12B-v4 - nbeerbower/mistral-nemo-bophades-12B model-index: - name: Stella-mistral-nemo-12B-v2 results: - task: type: text-generation name: Text Generation dataset: name: IFEval (0-Shot) type: HuggingFaceH4/ifeval args: num_few_shot: 0 metrics: - type: inst_level_strict_acc and prompt_level_strict_acc value: 32.74 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/Stella-mistral-nemo-12B-v2 name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: BBH (3-Shot) type: BBH args: num_few_shot: 3 metrics: - type: acc_norm value: 35.36 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/Stella-mistral-nemo-12B-v2 name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: MATH Lvl 5 (4-Shot) type: hendrycks/competition_math args: num_few_shot: 4 metrics: - type: exact_match value: 10.42 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/Stella-mistral-nemo-12B-v2 name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: GPQA (0-shot) type: Idavidrein/gpqa args: num_few_shot: 0 metrics: - type: acc_norm value: 10.96 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/Stella-mistral-nemo-12B-v2 name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: MuSR (0-shot) type: TAUR-Lab/MuSR args: num_few_shot: 0 metrics: - type: acc_norm value: 14.43 name: acc_norm source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/Stella-mistral-nemo-12B-v2 name: Open LLM Leaderboard - task: type: text-generation name: Text Generation dataset: name: MMLU-PRO (5-shot) type: TIGER-Lab/MMLU-Pro config: main split: test args: num_few_shot: 5 metrics: - type: acc value: 29.83 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=nbeerbower/Stella-mistral-nemo-12B-v2 name: Open LLM Leaderboard
Stella-mistral-nemo-12B-v2
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the Model Stock merge method using nbeerbower/mistral-nemo-bophades-12B as a base.
Models Merged
The following models were included in the merge:
- nbeerbower/mistral-nemo-gutenberg-12B-v3
- nbeerbower/Lyra-Gutenberg-mistral-nemo-12B
- nbeerbower/mistral-nemo-gutenberg-12B-v4
Configuration
The following YAML configuration was used to produce this model:
models:
- model: nbeerbower/Lyra-Gutenberg-mistral-nemo-12B
- model: nbeerbower/mistral-nemo-gutenberg-12B-v4
- model: nbeerbower/mistral-nemo-gutenberg-12B-v3
merge_method: model_stock
base_model: nbeerbower/mistral-nemo-bophades-12B
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 22.29 |
| IFEval (0-Shot) | 32.74 |
| BBH (3-Shot) | 35.36 |
| MATH Lvl 5 (4-Shot) | 10.42 |
| GPQA (0-shot) | 10.96 |
| MuSR (0-shot) | 14.43 |
| MMLU-PRO (5-shot) | 29.83 |
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