jaLLAbi
jaLLAbi is a merge of the following models using mergekit:
🧩 Configuration
```yaml slices:
- sources:
- model: openchat/openchat-3.5-0106 layer_range: [0, 32]
- model: machinists/Mistral-7B-SQL layer_range: [0, 32]
merge_method: slerp base_model: openchat/openchat-3.5-0106 parameters: t: - filter: self_attn value: [0, 0.5, 0.3, 0.7, 1] - filter: mlp value: [1, 0.5, 0.7, 0.3, 0] - value: 0.5 dtype: bfloat16 ```
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 20.07 |
| AI2 Reasoning Challenge (25-Shot) | 22.70 |
| HellaSwag (10-Shot) | 25.04 |
| MMLU (5-Shot) | 23.12 |
| TruthfulQA (0-shot) | 0.00 |
| Winogrande (5-shot) | 49.57 |
| GSM8k (5-shot) | 0.00 |
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Inference Providers
NEW
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.
Evaluation results
- normalized accuracy on AI2 Reasoning Challenge (25-Shot)test set Open LLM Leaderboard22.700
- normalized accuracy on HellaSwag (10-Shot)validation set Open LLM Leaderboard25.040
- accuracy on MMLU (5-Shot)test set Open LLM Leaderboard23.120
- mc2 on TruthfulQA (0-shot)validation set Open LLM Leaderboard0.000
- accuracy on Winogrande (5-shot)validation set Open LLM Leaderboard49.570
- accuracy on GSM8k (5-shot)test set Open LLM Leaderboard0.000