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shining-valiant
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llama-3.1
llama-3.1-instruct
llama-3.1-instruct-8b
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llama-3-instruct
llama-3-instruct-8b
8b
math
math-instruct
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Eval Results
text-generation-inference
PlumMath
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the della merge method using meta-llama/Llama-3.1-8B-Instruct as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
merge_method: della
dtype: bfloat16
parameters:
normalize: true
models:
- model: ValiantLabs/Llama3.1-8B-ShiningValiant2
parameters:
density: 0.5
weight: 0.3
- model: ValiantLabs/Llama3.1-8B-Cobalt
parameters:
density: 0.5
weight: 0.2
base_model: meta-llama/Llama-3.1-8B-Instruct
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 13.80 |
| IFEval (0-Shot) | 22.42 |
| BBH (3-Shot) | 16.45 |
| MATH Lvl 5 (4-Shot) | 3.93 |
| GPQA (0-shot) | 9.06 |
| MuSR (0-shot) | 8.98 |
| MMLU-PRO (5-shot) | 21.95 |
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Evaluation results
- acc on Winogrande (5-Shot)self-reported72.380
- acc on MathQA (5-Shot)self-reported40.270
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard22.420
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard16.450
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard3.930
- acc_norm on GPQA (0-shot)Open LLM Leaderboard9.060
- acc_norm on MuSR (0-shot)Open LLM Leaderboard8.980
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard21.950