merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the passthrough merge method.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: mattshumer/Reflection-Llama-3.1-70B
layer_range: [0, 39]
- sources:
- model: mattshumer/Reflection-Llama-3.1-70B
layer_range: [8, 39]
merge_method: passthrough
dtype: float16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 9.95 |
| IFEval (0-Shot) | 18.15 |
| BBH (3-Shot) | 7.78 |
| MATH Lvl 5 (4-Shot) | 0.00 |
| GPQA (0-shot) | 5.93 |
| MuSR (0-shot) | 2.18 |
| MMLU-PRO (5-shot) | 25.67 |
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Model tree for allknowingroger/Llama3.1-60B
Base model
meta-llama/Llama-3.1-70B
Finetuned
meta-llama/Llama-3.1-70B-Instruct
Finetuned
mattshumer/Reflection-Llama-3.1-70B
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard18.150
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard7.780
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard0.000
- acc_norm on GPQA (0-shot)Open LLM Leaderboard5.930
- acc_norm on MuSR (0-shot)Open LLM Leaderboard2.180
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard25.670