Llama
Collection
Meta-based models
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Merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Hermes with some CoT and Chat Summary added.
Quant: https://huggingface.co/Triangle104/Hermes-Llama-3.2-CoT-Summary-Q4_K_M-GGUF
Merge Method
This model was merged using the TIES merge method using NousResearch/Hermes-3-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: NousResearch/Hermes-3-Llama-3.2-3B
#no parameters necessary for base model
- model: prithivMLmods/Llama-Thinker-3B-Preview2
parameters:
density: 0.5
weight: 0.5
- model: prithivMLmods/Llama-Chat-Summary-3.2-3B
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: NousResearch/Hermes-3-Llama-3.2-3B
parameters:
normalize: false
int8_mask: true
dtype: float16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 16.74 |
| IFEval (0-Shot) | 48.30 |
| BBH (3-Shot) | 17.39 |
| MATH Lvl 5 (4-Shot) | 8.16 |
| GPQA (0-shot) | 0.78 |
| MuSR (0-shot) | 4.69 |
| MMLU-PRO (5-shot) | 21.13 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard48.300
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard17.390
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard8.160
- acc_norm on GPQA (0-shot)Open LLM Leaderboard0.780
- acc_norm on MuSR (0-shot)Open LLM Leaderboard4.690
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard21.130