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---
license: apache-2.0
library_name: transformers
tags:
- mergekit
- merge
base_model:
- failspy/Meta-Llama-3-8B-Instruct-abliterated-v3
- VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct
- DeepMount00/Llama-3-8b-Ita
- nbeerbower/llama-3-gutenberg-8B
- jpacifico/French-Alpaca-Llama3-8B-Instruct-v1.0
- meta-llama/Meta-Llama-3-8B-Instruct
model-index:
- name: Llama-3-8B-Instruct_breadcrumbs-density-0.3-gamma-0.1
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: 42.74
name: strict accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.3-gamma-0.1
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: 30.51
name: normalized accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.3-gamma-0.1
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: 7.02
name: exact match
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.3-gamma-0.1
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: 7.83
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.3-gamma-0.1
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: 11.4
name: acc_norm
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.3-gamma-0.1
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: 30.44
name: accuracy
source:
url: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=johnsutor/Llama-3-8B-Instruct_breadcrumbs-density-0.3-gamma-0.1
name: Open LLM Leaderboard
---
# Model Merge Parameters
Base model: meta-llama/Meta-Llama-3-8B-Instruct
Models: failspy/Meta-Llama-3-8B-Instruct-abliterated-v3
VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct
DeepMount00/Llama-3-8b-Ita
nbeerbower/llama-3-gutenberg-8B
jpacifico/French-Alpaca-Llama3-8B-Instruct-v1.0
meta-llama/Meta-Llama-3-8B-Instruct
Merge method: breadcrumbs
Random seed: 42
density: 0.3
gamma: 0.1
normalize: true
weight: 1.0
# [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_johnsutor__Llama-3-8B-Instruct_breadcrumbs-density-0.3-gamma-0.1)
| Metric |Value|
|-------------------|----:|
|Avg. |21.66|
|IFEval (0-Shot) |42.74|
|BBH (3-Shot) |30.51|
|MATH Lvl 5 (4-Shot)| 7.02|
|GPQA (0-shot) | 7.83|
|MuSR (0-shot) |11.40|
|MMLU-PRO (5-shot) |30.44|
|