here be dragons
Collection
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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:
- arcee-ai/Llama-3.1-SuperNova-Lite
- VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct
- unsloth/Llama-3.1-Storm-8B
- NousResearch/Hermes-3-Llama-3.1-8B
- Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
- NeverSleep/Lumimaid-v0.2-8B
Configuration
The following YAML configuration was used to produce this model:
models:
- model: Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
- model: VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct
- model: arcee-ai/Llama-3.1-SuperNova-Lite
- model: unsloth/Llama-3.1-Storm-8B
- model: NeverSleep/Lumimaid-v0.2-8B
- model: NousResearch/Hermes-3-Llama-3.1-8B
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 | 29.74 |
| IFEval (0-Shot) | 77.88 |
| BBH (3-Shot) | 33.06 |
| MATH Lvl 5 (4-Shot) | 16.47 |
| GPQA (0-shot) | 7.49 |
| MuSR (0-shot) | 11.98 |
| MMLU-PRO (5-shot) | 31.57 |
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Evaluation results
- averaged accuracy on IFEval (0-Shot)Open LLM Leaderboard77.880
- normalized accuracy on BBH (3-Shot)test set Open LLM Leaderboard33.060
- exact match on MATH Lvl 5 (4-Shot)test set Open LLM Leaderboard16.470
- acc_norm on GPQA (0-shot)Open LLM Leaderboard7.490
- acc_norm on MuSR (0-shot)Open LLM Leaderboard11.980
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard31.570