Casual-Magnum-34B
Collection
Merge of NeverSleep/CausalLM-RP-34B and anthracite-org/magnum-v3-34b
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6 items
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Updated
merge
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the SLERP merge method.
Models Merged
The following models were included in the merge:
- NeverSleep/CausalLM-RP-34B
- anthracite-org/magnum-v3-34b
Configuration
The following YAML configuration was used to produce this model:
models:
- model: ../models/anthracite-org_magnum-v3-34b
- model: ../models/NeverSleep_CausalLM-RP-34B
merge_method: slerp
base_model: ../models/NeverSleep_CausalLM-RP-34B
parameters:
t:
- value: [0, 0.1, 0.2, 0.4, 0.5, 0.6, 0.5, 0.4, 0.2, 0.1, 0]
embed_slerp: true
dtype: float16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 23.57 |
| IFEval (0-Shot) | 19.30 |
| BBH (3-Shot) | 43.05 |
| MATH Lvl 5 (4-Shot) | 7.85 |
| GPQA (0-shot) | 16.33 |
| MuSR (0-shot) | 8.40 |
| MMLU-PRO (5-shot) | 46.49 |
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Evaluation results
- strict accuracy on IFEval (0-Shot)Open LLM Leaderboard19.300
- normalized accuracy on BBH (3-Shot)Open LLM Leaderboard43.050
- exact match on MATH Lvl 5 (4-Shot)Open LLM Leaderboard7.850
- acc_norm on GPQA (0-shot)Open LLM Leaderboard16.330
- acc_norm on MuSR (0-shot)Open LLM Leaderboard8.400
- accuracy on MMLU-PRO (5-shot)test set Open LLM Leaderboard46.490