LLaMa-3.2-Instruct-JankMixBread-v0.1-3B
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the breadcrumbs_ties merge method using meta-llama/Llama-3.2-3B 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: breadcrumbs_ties
base_model: meta-llama/Llama-3.2-3B
tokenizer_source: PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B
dtype: bfloat16
parameters:
normalize: true
models:
- model: meta-llama/Llama-3.2-3B-Instruct
parameters:
weight: 1
density: 0.9
gamma: 0.01
- model: PJMixers-Dev/LLaMa-3.2-Instruct-JankMix-v0.1-SFT-3B
parameters:
weight: 1
density: 0.9
gamma: 0.01
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 19.35 |
| IFEval (0-Shot) | 50.41 |
| BBH (3-Shot) | 22.76 |
| MATH Lvl 5 (4-Shot) | 10.73 |
| GPQA (0-shot) | 4.36 |
| MuSR (0-shot) | 4.68 |
| MMLU-PRO (5-shot) | 23.15 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard50.410
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard22.760
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard10.730
- acc_norm on GPQA (0-shot)Open LLM Leaderboard4.360
- acc_norm on MuSR (0-shot)Open LLM Leaderboard4.680
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard23.150