Untitled Model (1)
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the DARE TIES merge method using unsloth/Meta-Llama-3.1-8B-Instruct as a base.
Models Merged
The following models were included in the merge:
- VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct
- arcee-ai/Llama-3.1-SuperNova-Lite
- unsloth/Llama-3.1-Storm-8B
- Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
Configuration
The following YAML configuration was used to produce this model:
base_model: unsloth/Meta-Llama-3.1-8B-Instruct
dtype: bfloat16
merge_method: dare_ties
parameters:
int8_mask: 1.0
normalize: 1.0
random_seed: 145.0
slices:
- sources:
- layer_range: [0, 32]
model: unsloth/Llama-3.1-Storm-8B
parameters:
density: 0.95
weight: 0.3
- layer_range: [0, 32]
model: arcee-ai/Llama-3.1-SuperNova-Lite
parameters:
density: 0.92
weight: 0.25
- layer_range: [0, 32]
model: VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct
parameters:
density: 0.9
weight: 0.25
- layer_range: [0, 32]
model: Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
parameters:
density: 0.92
weight: 0.2
- layer_range: [0, 32]
model: unsloth/Meta-Llama-3.1-8B-Instruct
tokenizer_source: union
Open LLM Leaderboard Evaluation Results
Detailed results can be found here! Summarized results can be found here!
| Metric | Value (%) |
|---|---|
| Average | 30.63 |
| IFEval (0-Shot) | 78.34 |
| BBH (3-Shot) | 32.53 |
| MATH Lvl 5 (4-Shot) | 20.02 |
| GPQA (0-shot) | 9.51 |
| MuSR (0-shot) | 10.70 |
| MMLU-PRO (5-shot) | 32.69 |