metadata
license: apache-2.0
library_name: transformers
tags:
- mergekit
- merge
base_model:
- akjindal53244/Llama-3.1-Storm-8B
- ResplendentAI/NoWarning_Llama3
- Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2
- kloodia/lora-8b-physic
- Sao10K/L3-8B-Stheno-v3.2
- ResplendentAI/Smarts_Llama3
- NeverSleep/Lumimaid-v0.2-8B
- ResplendentAI/Theory_of_Mind_Llama3
- DreadPoor/ScaduTorrent1.1-8b-model_stock
- kloodia/lora-8b-medic
- mlabonne/Hermes-3-Llama-3.1-8B-lorablated
- kloodia/lora-8b-bio
model-index:
- name: Heart_Stolen-8B-Model_Stock
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: 72.45
name: strict accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/Heart_Stolen-8B-Model_Stock
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: 34.44
name: normalized accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/Heart_Stolen-8B-Model_Stock
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: 14.65
name: exact match
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/Heart_Stolen-8B-Model_Stock
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: 8.95
name: acc_norm
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/Heart_Stolen-8B-Model_Stock
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: 12.36
name: acc_norm
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/Heart_Stolen-8B-Model_Stock
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: 31.04
name: accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard?query=DreadPoor/Heart_Stolen-8B-Model_Stock
name: Open LLM Leaderboard
merge
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 Sao10K/L3-8B-Stheno-v3.2 + ResplendentAI/Smarts_Llama3 as a base.
Models Merged
The following models were included in the merge:
- akjindal53244/Llama-3.1-Storm-8B + ResplendentAI/NoWarning_Llama3
- Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2 + kloodia/lora-8b-physic
- NeverSleep/Lumimaid-v0.2-8B + ResplendentAI/Theory_of_Mind_Llama3
- DreadPoor/ScaduTorrent1.1-8b-model_stock + kloodia/lora-8b-medic
- mlabonne/Hermes-3-Llama-3.1-8B-lorablated + kloodia/lora-8b-bio
Configuration
The following YAML configuration was used to produce this model:
models:
- model: Orenguteng/Llama-3.1-8B-Lexi-Uncensored-V2+kloodia/lora-8b-physic
- model: akjindal53244/Llama-3.1-Storm-8B+ResplendentAI/NoWarning_Llama3
- model: DreadPoor/ScaduTorrent1.1-8b-model_stock+kloodia/lora-8b-medic
- model: NeverSleep/Lumimaid-v0.2-8B+ResplendentAI/Theory_of_Mind_Llama3
- model: mlabonne/Hermes-3-Llama-3.1-8B-lorablated+kloodia/lora-8b-bio
merge_method: model_stock
base_model: Sao10K/L3-8B-Stheno-v3.2+ResplendentAI/Smarts_Llama3
normalize: false
int8_mask: true
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here
Metric | Value |
---|---|
Avg. | 28.98 |
IFEval (0-Shot) | 72.45 |
BBH (3-Shot) | 34.44 |
MATH Lvl 5 (4-Shot) | 14.65 |
GPQA (0-shot) | 8.95 |
MuSR (0-shot) | 12.36 |
MMLU-PRO (5-shot) | 31.04 |