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 unsloth/Meta-Llama-3.1-8B-Instruct as a base.
Models Merged
The following models were included in the merge:
- NCSOFT/Llama-VARCO-8B-Instruct
- Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
- akjindal53244/Llama-3.1-Storm-8B
- arcee-ai/Llama-3.1-SuperNova-Lite
Configuration
The following YAML configuration was used to produce this model:
base_model: unsloth/Meta-Llama-3.1-8B-Instruct
dtype: bfloat16
merge_method: dare_ties
slices:
- sources:
- layer_range: [0, 32]
model: akjindal53244/Llama-3.1-Storm-8B
parameters:
density: 0.8
weight: 0.13
- layer_range: [0, 32]
model: arcee-ai/Llama-3.1-SuperNova-Lite
parameters:
density: 1.0
weight: 0.37
- layer_range: [0, 32]
model: Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
parameters:
density: 1.0
weight: 0.13
- layer_range: [0, 32]
model: NCSOFT/Llama-VARCO-8B-Instruct
parameters:
density: 0.8
weight: 0.37
- layer_range: [0, 32]
model: unsloth/Meta-Llama-3.1-8B-Instruct
tokenizer_source: base
Open LLM Leaderboard Evaluation Results
Detailed results can be found here! Summarized results can be found here!
Metric | Value |
---|---|
Avg. | 29.72 |
IFEval (0-Shot) | 78.38 |
BBH (3-Shot) | 32.08 |
MATH Lvl 5 (4-Shot) | 20.02 |
GPQA (0-shot) | 7.27 |
MuSR (0-shot) | 9.92 |
MMLU-PRO (5-shot) | 30.66 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard78.380
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard32.080
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard20.020
- acc_norm on GPQA (0-shot)Open LLM Leaderboard7.270
- acc_norm on MuSR (0-shot)Open LLM Leaderboard9.920
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard30.660