personal merge highlights
Collection
8 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 FuseAI/FuseChat-Llama-3.1-8B-SFT 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: DreadPoor/Aspire-8B-model_stock
- model: DreadPoor/ONeil-model_stock-8B
- model: DreadPoor/BaeZel_1.1-8B-Model_Stock
merge_method: model_stock
base_model: FuseAI/FuseChat-Llama-3.1-8B-SFT
normalize: false
filter_wise: true
chat_template: "auto"
int8_mask: true
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here! Summarized results can be found here!
| Metric | Value (%) |
|---|---|
| Average | 30.04 |
| IFEval (0-Shot) | 76.67 |
| BBH (3-Shot) | 34.25 |
| MATH Lvl 5 (4-Shot) | 17.52 |
| GPQA (0-shot) | 8.95 |
| MuSR (0-shot) | 11.61 |
| MMLU-PRO (5-shot) | 31.23 |
- Downloads last month
- 202
Inference Providers
NEW
This model is not currently available via any of the supported third-party Inference Providers, and
the model is not deployed on the HF Inference API.
Model tree for DreadPoor/Derivative-8B-Model_Stock
Merge model
this model
Collection including DreadPoor/Derivative-8B-Model_Stock
Evaluation results
- averaged accuracy on IFEval (0-Shot)Open LLM Leaderboard76.670
- normalized accuracy on BBH (3-Shot)test set Open LLM Leaderboard34.250
- exact match on MATH Lvl 5 (4-Shot)test set Open LLM Leaderboard17.520
- acc_norm on GPQA (0-shot)Open LLM Leaderboard8.950
- acc_norm on MuSR (0-shot)Open LLM Leaderboard11.610
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard31.230