merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the della merge method using unsloth/Meta-Llama-3.1-8B as a base.
Models Merged
The following models were included in the merge:
- DreadPoor/LemonP-8B-Model_Stock
- DreadPoor/Heart_Stolen1.1-8B-Model_Stock
- DreadPoor/Aspire_1.3-8B_model-stock
Configuration
The following YAML configuration was used to produce this model:
models:
- model: DreadPoor/Aspire_1.3-8B_model-stock
parameters:
weight: 1.0
- model: DreadPoor/LemonP-8B-Model_Stock
parameters:
weight: 1.0
- model: DreadPoor/Heart_Stolen1.1-8B-Model_Stock
parameters:
weight: 1.0
merge_method: della
base_model: unsloth/Meta-Llama-3.1-8B
parameters:
density: 1
lambda: 1.05
epsilon: 0.04
normalize: true
int8_mask: true
dtype: float32
out_dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 26.17 |
| IFEval (0-Shot) | 51.80 |
| BBH (3-Shot) | 35.16 |
| MATH Lvl 5 (4-Shot) | 16.92 |
| GPQA (0-shot) | 9.28 |
| MuSR (0-shot) | 11.60 |
| MMLU-PRO (5-shot) | 32.25 |
- Downloads last month
- 25
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social
visibility and check back later, or deploy to Inference Endpoints (dedicated)
instead.
Model tree for DreadPoor/L3.1-BaeZel-8B-Della
Merge model
this model
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard51.800
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard35.160
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard16.920
- acc_norm on GPQA (0-shot)Open LLM Leaderboard9.280
- acc_norm on MuSR (0-shot)Open LLM Leaderboard11.600
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard32.250