merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the task arithmetic merge method using jpacifico/Chocolatine-14B-Instruct-DPO-v1.2 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: jpacifico/Chocolatine-14B-Instruct-DPO-v1.2
parameters:
weight: 1.0
- model: failspy/Phi-3-medium-4k-instruct-abliterated-v3
parameters:
weight: 1.0
- model: jpacifico/Chocolatine-14B-Instruct-4k-DPO
parameters:
weight: 1.0
merge_method: task_arithmetic
base_model: jpacifico/Chocolatine-14B-Instruct-DPO-v1.2
parameters:
normalize: true
dtype: float16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 30.08 |
| IFEval (0-Shot) | 46.95 |
| BBH (3-Shot) | 47.93 |
| MATH Lvl 5 (4-Shot) | 13.90 |
| GPQA (0-shot) | 13.42 |
| MuSR (0-shot) | 16.81 |
| MMLU-PRO (5-shot) | 41.49 |
- Downloads last month
- 18
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 allknowingroger/Ph3task1-14B
Merge model
this model
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard46.950
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard47.930
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard13.900
- acc_norm on GPQA (0-shot)Open LLM Leaderboard13.420
- acc_norm on MuSR (0-shot)Open LLM Leaderboard16.810
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard41.490