metadata
license: apache-2.0
tags:
- merge
- mergekit
- lazymergekit
- lesubra/merge-test
- microsoft/Phi-3.5-mini-instruct
model-index:
- name: ECE-EIFFEL-3Bv2
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: 30.13
name: strict accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lesubra/ECE-EIFFEL-3Bv2
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: 36.35
name: normalized accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lesubra/ECE-EIFFEL-3Bv2
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: 4.68
name: exact match
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lesubra/ECE-EIFFEL-3Bv2
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: 11.41
name: acc_norm
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lesubra/ECE-EIFFEL-3Bv2
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: 15.77
name: acc_norm
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lesubra/ECE-EIFFEL-3Bv2
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: 33.33
name: accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=lesubra/ECE-EIFFEL-3Bv2
name: Open LLM Leaderboard
ECE-EIFFEL-3Bv2
ECE-EIFFEL-3Bv2 is a merge of the following models using mergekit:
🧩 Configuration
slices:
- sources:
- model: lesubra/merge-test
layer_range: [0, 32]
- model: microsoft/Phi-3.5-mini-instruct
layer_range: [0, 32]
merge_method: slerp
base_model: lesubra/merge-test
parameters:
t:
- filter: self_attn
value: [0, 0.5, 0.3, 0.7, 1]
- filter: mlp
value: [1, 0.5, 0.7, 0.3, 0]
- value: 0.5
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
Metric | Value |
---|---|
Avg. | 21.95 |
IFEval (0-Shot) | 30.13 |
BBH (3-Shot) | 36.35 |
MATH Lvl 5 (4-Shot) | 4.68 |
GPQA (0-shot) | 11.41 |
MuSR (0-shot) | 15.77 |
MMLU-PRO (5-shot) | 33.33 |