metadata
license: other
library_name: transformers
tags:
- mergekit
- merge
base_model:
- mlabonne/ChimeraLlama-3-8B-v2
- grimjim/llama-3-merge-pp-instruct-8B
- grimjim/llama-3-merge-virt-req-8B
- uygarkurt/llama-3-merged-linear
- jeiku/Orthocopter_8B
- grimjim/llama-3-nvidia-ChatQA-1.5-8B
- openlynn/Llama-3-Soliloquy-8B-v2
- VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct
- nbeerbower/llama-3-stella-8B
- cloudyu/Meta-Llama-3-8B-Instruct-DPO
- NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS
- flammenai/Mahou-1.0-llama3-8B
- flammenai/Mahou-1.1-llama3-8B
license_name: llama3
model-index:
- name: llama-3-stinky-v2-8B
results:
- task:
type: text-generation
name: Text Generation
dataset:
name: AI2 Reasoning Challenge (25-Shot)
type: ai2_arc
config: ARC-Challenge
split: test
args:
num_few_shot: 25
metrics:
- type: acc_norm
value: 66.98
name: normalized accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/llama-3-stinky-v2-8B
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: HellaSwag (10-Shot)
type: hellaswag
split: validation
args:
num_few_shot: 10
metrics:
- type: acc_norm
value: 83.2
name: normalized accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/llama-3-stinky-v2-8B
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MMLU (5-Shot)
type: cais/mmlu
config: all
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 68.33
name: accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/llama-3-stinky-v2-8B
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: TruthfulQA (0-shot)
type: truthful_qa
config: multiple_choice
split: validation
args:
num_few_shot: 0
metrics:
- type: mc2
value: 55.83
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/llama-3-stinky-v2-8B
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: Winogrande (5-shot)
type: winogrande
config: winogrande_xl
split: validation
args:
num_few_shot: 5
metrics:
- type: acc
value: 77.51
name: accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/llama-3-stinky-v2-8B
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: GSM8k (5-shot)
type: gsm8k
config: main
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 69.75
name: accuracy
source:
url: >-
https://huggingface.co/spaces/HuggingFaceH4/open_llm_leaderboard?query=nbeerbower/llama-3-stinky-v2-8B
name: Open LLM Leaderboard
llama-3-stinky-v2-8B
This is a merge of pre-trained language models created using mergekit.
Merge Details
Merge Method
This model was merged using the Model Stock merge method using flammenai/Mahou-1.1-llama3-8B as a base.
Models Merged
The following models were included in the merge:
- mlabonne/ChimeraLlama-3-8B-v2
- grimjim/llama-3-merge-pp-instruct-8B
- grimjim/llama-3-merge-virt-req-8B
- uygarkurt/llama-3-merged-linear
- jeiku/Orthocopter_8B
- grimjim/llama-3-nvidia-ChatQA-1.5-8B
- openlynn/Llama-3-Soliloquy-8B-v2
- VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct
- nbeerbower/llama-3-stella-8B
- cloudyu/Meta-Llama-3-8B-Instruct-DPO
- NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS
- flammenai/Mahou-1.0-llama3-8B
Configuration
The following YAML configuration was used to produce this model:
models:
- model: mlabonne/ChimeraLlama-3-8B-v2
- model: cloudyu/Meta-Llama-3-8B-Instruct-DPO
- model: nbeerbower/llama-3-stella-8B
- model: VAGOsolutions/Llama-3-SauerkrautLM-8b-Instruct
- model: uygarkurt/llama-3-merged-linear
- model: openlynn/Llama-3-Soliloquy-8B-v2
- model: grimjim/llama-3-merge-pp-instruct-8B
- model: NeverSleep/Llama-3-Lumimaid-8B-v0.1-OAS
- model: grimjim/llama-3-merge-virt-req-8B
- model: jeiku/Orthocopter_8B
- model: grimjim/llama-3-nvidia-ChatQA-1.5-8B
- model: flammenai/Mahou-1.0-llama3-8B
merge_method: model_stock
base_model: flammenai/Mahou-1.1-llama3-8B
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
Metric | Value |
---|---|
Avg. | 70.27 |
AI2 Reasoning Challenge (25-Shot) | 66.98 |
HellaSwag (10-Shot) | 83.20 |
MMLU (5-Shot) | 68.33 |
TruthfulQA (0-shot) | 55.83 |
Winogrande (5-shot) | 77.51 |
GSM8k (5-shot) | 69.75 |