Llama
Collection
Meta-based models
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Merge
This is a merge of pre-trained language models created using mergekit.
Quant: https://huggingface.co/Triangle104/RomboHermes3-R1-Llama3.2-3b-Q4_K_M-GGUF
Merge Method
This model was merged using the TIES merge method using unsloth/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:
models:
- model: Rombo-Org/Rombo-LLM-V2.7-llama-3.2-3b
parameters:
density: 1
weight: 1
- model: Triangle104/Hermes3-R1-Llama3.2-3b
parameters:
density: 1
weight: 1
merge_method: ties
base_model: unsloth/Llama-3.2-3B
parameters:
normalize: true
int8_mask: true
dtype: float16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 14.66 |
| IFEval (0-Shot) | 30.07 |
| BBH (3-Shot) | 19.09 |
| MATH Lvl 5 (4-Shot) | 8.16 |
| GPQA (0-shot) | 4.47 |
| MuSR (0-shot) | 4.41 |
| MMLU-PRO (5-shot) | 21.75 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard30.070
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard19.090
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard8.160
- acc_norm on GPQA (0-shot)Open LLM Leaderboard4.470
- acc_norm on MuSR (0-shot)Open LLM Leaderboard4.410
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard21.750