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 DARE TIES merge method using T145/KRONOS-8B-V1-P3 as a base.
Models Merged
The following models were included in the merge:
- akjindal53244/Llama-3.1-Storm-8B
- Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
- arcee-ai/Llama-3.1-SuperNova-Lite
Configuration
The following YAML configuration was used to produce this model:
base_model: T145/KRONOS-8B-V1-P3
dtype: bfloat16
merge_method: dare_ties
parameters:
int8_mask: 1.0
normalize: 1.0
random_seed: 456.0
slices:
- sources:
- layer_range: [0, 32]
model: akjindal53244/Llama-3.1-Storm-8B
parameters:
density: 0.8
weight: 0.25
- layer_range: [0, 32]
model: arcee-ai/Llama-3.1-SuperNova-Lite
parameters:
density: 0.8
weight: 0.33
- layer_range: [0, 32]
model: Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
parameters:
density: 0.8
weight: 0.42
- layer_range: [0, 32]
model: T145/KRONOS-8B-V1-P3
tokenizer_source: union
Open LLM Leaderboard Evaluation Results
Detailed results can be found here! Summarized results can be found here!
Metric | Value (%) |
---|---|
Average | 29.83 |
IFEval (0-Shot) | 81.00 |
BBH (3-Shot) | 31.21 |
MATH Lvl 5 (4-Shot) | 18.96 |
GPQA (0-shot) | 8.61 |
MuSR (0-shot) | 7.15 |
MMLU-PRO (5-shot) | 32.04 |
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Evaluation results
- averaged accuracy on IFEval (0-Shot)Open LLM Leaderboard81.000
- normalized accuracy on BBH (3-Shot)test set Open LLM Leaderboard31.210
- exact match on MATH Lvl 5 (4-Shot)test set Open LLM Leaderboard18.960
- acc_norm on GPQA (0-shot)Open LLM Leaderboard8.610
- acc_norm on MuSR (0-shot)Open LLM Leaderboard7.150
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard32.040