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---
library_name: transformers
tags:
- mergekit
- merge
base_model:
- Tsunami-th/Tsunami-0.5x-7B-Instruct
- Qwen/Qwen2.5-Math-7B
model-index:
- name: 2_PRYMMAL-ECE-7B-SLERP-V3
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: 22.35
name: strict accuracy
source:
url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Lil-R/2_PRYMMAL-ECE-7B-SLERP-V3
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: 10.61
name: normalized accuracy
source:
url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Lil-R/2_PRYMMAL-ECE-7B-SLERP-V3
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: 0.0
name: exact match
source:
url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Lil-R/2_PRYMMAL-ECE-7B-SLERP-V3
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: 0.89
name: acc_norm
source:
url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Lil-R/2_PRYMMAL-ECE-7B-SLERP-V3
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: 9.74
name: acc_norm
source:
url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Lil-R/2_PRYMMAL-ECE-7B-SLERP-V3
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: 9.08
name: accuracy
source:
url: https://huggingface.co./spaces/open-llm-leaderboard/open_llm_leaderboard?query=Lil-R/2_PRYMMAL-ECE-7B-SLERP-V3
name: Open LLM Leaderboard
---
# merged_model
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:
* [Tsunami-th/Tsunami-0.5x-7B-Instruct](https://huggingface.co./Tsunami-th/Tsunami-0.5x-7B-Instruct)
* [Qwen/Qwen2.5-Math-7B](https://huggingface.co./Qwen/Qwen2.5-Math-7B)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
slices:
- sources:
- model: Tsunami-th/Tsunami-0.5x-7B-Instruct
layer_range: [0, 28]
- model: Qwen/Qwen2.5-Math-7B
layer_range: [0, 28]
merge_method: slerp
base_model: Tsunami-th/Tsunami-0.5x-7B-Instruct
parameters:
t:
- filter: self_attn
value: [0, 0.1, 0.2, 0.3, 0.4] # Influence réduite pour Qwen sur les couches d'attention
- filter: mlp
value: [0, 0.15, 0.3, 0.45, 0.6] # Influence légèrement accrue pour les couches MLP
- value: 0.2 # Ajustement général pour favoriser Tsunami sur l'ensemble
dtype: bfloat16
```
# [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_Lil-R__2_PRYMMAL-ECE-7B-SLERP-V3)
| Metric |Value|
|-------------------|----:|
|Avg. | 8.78|
|IFEval (0-Shot) |22.35|
|BBH (3-Shot) |10.61|
|MATH Lvl 5 (4-Shot)| 0.00|
|GPQA (0-shot) | 0.89|
|MuSR (0-shot) | 9.74|
|MMLU-PRO (5-shot) | 9.08|
|