metadata
license: apache-2.0
library_name: transformers
tags:
- mergekit
- merge
base_model:
- Qwen/Qwen2.5-1.5B-Instruct
- Qwen/Qwen2.5-1.5B
model-index:
- name: lareneg1_78B-ECE-PRYMMAL-Martial
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: 27.95
name: strict accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Marsouuu/lareneg1_78B-ECE-PRYMMAL-Martial
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: 19.02
name: normalized accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Marsouuu/lareneg1_78B-ECE-PRYMMAL-Martial
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: 8.91
name: exact match
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Marsouuu/lareneg1_78B-ECE-PRYMMAL-Martial
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: 4.25
name: acc_norm
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Marsouuu/lareneg1_78B-ECE-PRYMMAL-Martial
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: 6.51
name: acc_norm
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Marsouuu/lareneg1_78B-ECE-PRYMMAL-Martial
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: 21.36
name: accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=Marsouuu/lareneg1_78B-ECE-PRYMMAL-Martial
name: Open LLM Leaderboard
my-output
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:
Configuration
The following YAML configuration was used to produce this model:
slices:
- sources:
- model: Qwen/Qwen2.5-1.5B
layer_range: [0, 28]
- model: Qwen/Qwen2.5-1.5B-Instruct
layer_range: [0, 28]
merge_method: slerp
base_model: Qwen/Qwen2.5-1.5B-Instruct
parameters:
t:
- filter: self_attn
value: [0, 0.25, 0.5, 0.75, 1]
- filter: mlp
value: [1, 0.75, 0.5, 0.25, 0]
- value: 0.5
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
| Metric | Value |
|---|---|
| Avg. | 14.67 |
| IFEval (0-Shot) | 27.95 |
| BBH (3-Shot) | 19.02 |
| MATH Lvl 5 (4-Shot) | 8.91 |
| GPQA (0-shot) | 4.25 |
| MuSR (0-shot) | 6.51 |
| MMLU-PRO (5-shot) | 21.36 |