merge
This is a merge of pre-trained language models created using mergekit.
⚠️Warning ⚠️
Model is broken and outputs only broken german. Possibly obsessed with Fußball. ⚽
Merge Method
This model was merged using the passthrough merge method and only speaks german, somewhat obsessed with football.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: flemmingmiguel/MBX-7B-v3
layer_range: [0, 32]
- sources:
- model: flemmingmiguel/MBX-7B
layer_range: [20, 32]
merge_method: passthrough
dtype: float16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 50.38 |
| AI2 Reasoning Challenge (25-Shot) | 47.95 |
| HellaSwag (10-Shot) | 66.22 |
| MMLU (5-Shot) | 62.85 |
| TruthfulQA (0-shot) | 50.61 |
| Winogrande (5-shot) | 74.66 |
| GSM8k (5-shot) | 0.00 |
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Inference Providers
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This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Model tree for ConvexAI/Pelican-9b-v0.1
Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard47.950
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard66.220
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard62.850
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard50.610
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard74.660
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard0.000