Llama
Collection
Meta-based models
•
843 items
•
Updated
•
1
merge
This is a merge of pre-trained language models created using mergekit.
Merge Method
This model was merged using the TIES merge method using NousResearch/Hermes-3-Llama-3.1-8B 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-3.1-8B
parameters:
density: 1
weight: 1
- model: DavidAU/L3.1-RP-Hero-Dirty_Harry-8B
parameters:
density: 0.5
weight: 0.5
merge_method: ties
base_model: NousResearch/Hermes-3-Llama-3.1-8B
parameters:
normalize: true
int8_mask: true
dtype: float16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 18.56 |
| IFEval (0-Shot) | 32.42 |
| BBH (3-Shot) | 29.68 |
| MATH Lvl 5 (4-Shot) | 7.18 |
| GPQA (0-shot) | 6.94 |
| MuSR (0-shot) | 9.16 |
| MMLU-PRO (5-shot) | 25.98 |
- Downloads last month
- 12
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Model tree for Triangle104/Hermes3-L3.1-DirtyHarry-8B
Merge model
this model
Collections including Triangle104/Hermes3-L3.1-DirtyHarry-8B
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard32.420
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard29.680
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard7.180
- acc_norm on GPQA (0-shot)Open LLM Leaderboard6.940
- acc_norm on MuSR (0-shot)Open LLM Leaderboard9.160
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard25.980