merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the linear merge method using huihui-ai/Llama-3.2-3B-Instruct-abliterated as a base.
Models Merged
The following models were included in the merge:
Configuration
The following YAML configuration was used to produce this model:
merge_method: linear
dtype: bfloat16
normalize: true
base_model: huihui-ai/Llama-3.2-3B-Instruct-abliterated
models:
- model: bunnycore/Llama-3.2-3B-All-Mix
parameters:
weight: 10
density: 1
- model: prithivMLmods/Codepy-Deepthink-3B
parameters:
weight: 7
density: 0.8
- model: huihui-ai/Llama-3.2-3B-Instruct-abliterated
parameters:
weight: 7
density: 0.8
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 23.06 |
| IFEval (0-Shot) | 71.44 |
| BBH (3-Shot) | 23.76 |
| MATH Lvl 5 (4-Shot) | 15.18 |
| GPQA (0-shot) | 2.13 |
| MuSR (0-shot) | 0.94 |
| MMLU-PRO (5-shot) | 24.91 |
- Downloads last month
- 142
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 bunnycore/Llama-3.2-3B-RP-DeepThink
Merge model
this model
Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard71.440
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard23.760
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard15.180
- acc_norm on GPQA (0-shot)Open LLM Leaderboard2.130
- acc_norm on MuSR (0-shot)Open LLM Leaderboard0.940
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard24.910