Paper • 2403.19522 • Published • 15
Merged Model
This model is currently ranked #3 among the models up to 15B parameters and #59 among all models on the Open LLM Leaderboard.
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 wanlige/li-14b-v0.4 as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
name: Lix-14B-v0.1
merge_method: model_stock
base_model: wanlige/li-14b-v0.4
tokenizer_source: base
dtype: bfloat16
out_dtype: bfloat16
parameters:
int8_mask: true
normalize: true
rescale: false
models:
- model: wanlige/li-14b-v0.4-slerp0.1
- model: sthenno-com/miscii-14b-0218
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 43.32 |
| IFEval (0-Shot) | 78.13 |
| BBH (3-Shot) | 51.47 |
| MATH Lvl 5 (4-Shot) | 52.95 |
| GPQA (0-shot) | 16.00 |
| MuSR (0-shot) | 13.42 |
| MMLU-PRO (5-shot) | 47.94 |
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Safetensors
Model size
15B params
Tensor type
BF16
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard78.130
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard51.470
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard52.950
- acc_norm on GPQA (0-shot)Open LLM Leaderboard16.000
- acc_norm on MuSR (0-shot)Open LLM Leaderboard13.420
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard47.940