Casual-Magnum-34B / README.md
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Adding Evaluation Results (#1)
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---
license: apache-2.0
tags:
- mergekit
- merge
base_model:
- NeverSleep/CausalLM-RP-34B
- anthracite-org/magnum-v3-34b
model-index:
- name: Casual-Magnum-34B
results:
- task:
type: text-generation
name: Text Generation
dataset:
name: IFEval (0-Shot)
type: HuggingFaceH4/ifeval
args:
num_few_shot: 0
metrics:
- type: inst_level_strict_acc and prompt_level_strict_acc
value: 19.3
name: strict accuracy
source:
url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Jacoby746/Casual-Magnum-34B
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: BBH (3-Shot)
type: BBH
args:
num_few_shot: 3
metrics:
- type: acc_norm
value: 43.05
name: normalized accuracy
source:
url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Jacoby746/Casual-Magnum-34B
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MATH Lvl 5 (4-Shot)
type: hendrycks/competition_math
args:
num_few_shot: 4
metrics:
- type: exact_match
value: 7.85
name: exact match
source:
url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Jacoby746/Casual-Magnum-34B
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: GPQA (0-shot)
type: Idavidrein/gpqa
args:
num_few_shot: 0
metrics:
- type: acc_norm
value: 16.33
name: acc_norm
source:
url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Jacoby746/Casual-Magnum-34B
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MuSR (0-shot)
type: TAUR-Lab/MuSR
args:
num_few_shot: 0
metrics:
- type: acc_norm
value: 8.4
name: acc_norm
source:
url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Jacoby746/Casual-Magnum-34B
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MMLU-PRO (5-shot)
type: TIGER-Lab/MMLU-Pro
config: main
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 46.49
name: accuracy
source:
url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Jacoby746/Casual-Magnum-34B
name: Open LLM Leaderboard
---
# merge
This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/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:
```yaml
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](https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard)
Detailed results can be found [here](https://huggingface.co./datasets/open-llm-leaderboard/details_Jacoby746__Casual-Magnum-34B)
| 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|