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---
language:
- en
- ko
license: apache-2.0
library_name: transformers
tags:
- mergekit
- merge
- text-generation-inference
- not-for-all-audiences
base_model:
- bamec66557/MNRP_0.5
- bamec66557/MISCHIEVOUS-12B
model-index:
- name: MISCHIEVOUS-12B-Mix_0.1v
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: 36.36
name: strict accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/MISCHIEVOUS-12B-Mix_0.1v
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: 34.36
name: normalized accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/MISCHIEVOUS-12B-Mix_0.1v
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: 12.76
name: exact match
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/MISCHIEVOUS-12B-Mix_0.1v
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: 10.4
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/MISCHIEVOUS-12B-Mix_0.1v
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: 11.54
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/MISCHIEVOUS-12B-Mix_0.1v
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: 29.71
name: accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=bamec66557/MISCHIEVOUS-12B-Mix_0.1v
name: Open LLM Leaderboard
---
<a href="#" target="_blank"><img src="https://huggingface.co/bamec66557/MISCHIEVOUS-12B/resolve/main/00001-321918068.gif"></a>
# 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:
* bamec66557/MNRP_0.5
* [bamec66557/MISCHIEVOUS-12B](https://huggingface.co/bamec66557/MISCHIEVOUS-12B)
### Configuration
The following YAML configuration was used to produce this model:
```yaml
slices:
- Sources:
- model: bamec66557/MNRP_0.5
layer_range: [0, 40] # Merge layer range for MNRP_0.5 model
- model: bamec66557/MISCHIEVOUS-12B
layer_range: [0, 40] # Merge layer range for MISCHIEVOUS-12B model.
# Adjust the merge ratio per layer to drive smoother integration
# Each filter affects a specific mechanism within the model
parameters:
t:
- Filter: self_attn
value: [0.2, 0.4, 0.6, 0.8, 1.0] # Progressive merging of self-attention layers
- filter: mlp
value: [0.8, 0.6, 0.4, 0.2, 0.0] # Merge MLP layers with opposite proportions
- filter: layer_norm
value: [0.5, 0.5, 0.5, 0.5, 0.5, 0.5] # Layer Normalisation should be merged uniformly
- value: 0.7 # Default
merge_method: slerp # change merge method to slerp
base_model: bamec66557/MISCHIEVOUS-12B # base model for merge
dtype: bfloat16 # data type for efficient and fast operations when merging
# Additional available options
regularisation:
- method: l2_norm # Stabilise merged model weights with L2 normalisation
scale: 0.01
postprocessing:
- operation: smoothing # Smooth the weights after merging
kernel_size: 3
- operation: normalise # normalise the overall weights
```
# [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/bamec66557__MISCHIEVOUS-12B-Mix_0.1v-details)
| Metric |Value|
|-------------------|----:|
|Avg. |22.52|
|IFEval (0-Shot) |36.36|
|BBH (3-Shot) |34.36|
|MATH Lvl 5 (4-Shot)|12.76|
|GPQA (0-shot) |10.40|
|MuSR (0-shot) |11.54|
|MMLU-PRO (5-shot) |29.71|
|