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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							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
 
