Untitled Model (1)
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the TIES merge method using unsloth/Meta-Llama-3.1-8B as a base.
Models Merged
The following models were included in the merge:
- mukaj/Llama-3.1-Hawkish-8B
- T145/KRONOS-8B-V1-P3
- unsloth/Meta-Llama-3.1-8B-Instruct
- T145/KRONOS-8B-V1-P2
Configuration
The following YAML configuration was used to produce this model:
base_model: unsloth/Meta-Llama-3.1-8B
dtype: bfloat16
merge_method: ties
parameters:
density: 1.0
weight: 1.0
slices:
- sources:
- layer_range: [0, 32]
model: T145/KRONOS-8B-V1-P2
parameters:
density: 1.0
weight: 1.0
- layer_range: [0, 32]
model: T145/KRONOS-8B-V1-P3
parameters:
density: 1.0
weight: 1.0
- layer_range: [0, 32]
model: mukaj/Llama-3.1-Hawkish-8B
parameters:
density: 1.0
weight: 1.0
- layer_range: [0, 32]
model: unsloth/Meta-Llama-3.1-8B-Instruct
parameters:
density: 1.0
weight: 1.0
- layer_range: [0, 32]
model: unsloth/Meta-Llama-3.1-8B
tokenizer_source: unsloth/Meta-Llama-3.1-8B-Instruct
Open LLM Leaderboard Evaluation Results
Detailed results can be found here! Summarized results can be found here!
Metric | % Value |
---|---|
Avg. | 25.43 |
IFEval (0-Shot) | 54.05 |
BBH (3-Shot) | 30.17 |
MATH Lvl 5 (4-Shot) | 21.90 |
GPQA (0-shot) | 5.37 |
MuSR (0-shot) | 10.45 |
MMLU-PRO (5-shot) | 30.66 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard54.050
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard30.170
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard21.900
- acc_norm on GPQA (0-shot)Open LLM Leaderboard5.370
- acc_norm on MuSR (0-shot)Open LLM Leaderboard10.450
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard30.660