Working Merge in my Profile
Collection
25 items
•
Updated
•
1
merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the Model Stock merge method using vicgalle/Configurable-Llama-3.1-8B-Instruct as a base.
Models Merged
The following models were included in the merge:
- rityak/L3.1-FormaxGradient
- ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1 + grimjim/Llama-3-Instruct-abliteration-LoRA-8B
- DreadPoor/Heart_Stolen-8B-Model_Stock
Configuration
The following YAML configuration was used to produce this model:
models:
- model: ArliAI/Llama-3.1-8B-ArliAI-RPMax-v1.1+grimjim/Llama-3-Instruct-abliteration-LoRA-8B
- model: DreadPoor/Heart_Stolen-8B-Model_Stock
- model: rityak/L3.1-FormaxGradient
merge_method: model_stock
base_model: vicgalle/Configurable-Llama-3.1-8B-Instruct
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 28.00 |
| IFEval (0-Shot) | 78.13 |
| BBH (3-Shot) | 31.39 |
| MATH Lvl 5 (4-Shot) | 12.92 |
| GPQA (0-shot) | 5.48 |
| MuSR (0-shot) | 9.66 |
| MMLU-PRO (5-shot) | 30.39 |
- Downloads last month
- 24
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 djuna/L3.1-ForStHS
Merge model
this model
Collection including djuna/L3.1-ForStHS
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard78.130
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard31.390
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard12.920
- acc_norm on GPQA (0-shot)Open LLM Leaderboard5.480
- acc_norm on MuSR (0-shot)Open LLM Leaderboard9.660
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard30.390