metadata
base_model:
- Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base
- kloodia/lora-8b-medic
- mlabonne/Hermes-3-Llama-3.1-8B-lorablated
- kloodia/lora-8b-physic
- bluuwhale/L3-SthenoMaid-8B-V1
- kik41/lora-formality-informal-llama-3-8b
- Casual-Autopsy/L3-Umbral-Mind-RP-v3.0-8B
- kik41/lora-sarcasm-more-llama-3-8b-v2
- VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct
- kloodia/lora-8b-math
- SicariusSicariiStuff/Impish_Mind_8B
- kik41/lora-type-expository-llama-3-8b-v2
library_name: transformers
tags:
- mergekit
- merge
license: llama3.1
model-index:
- name: Wannabe-8B-Model_Stock
results:
- task:
type: text-generation
name: Text Generation
dataset:
name: IFEval (0-Shot)
type: wis-k/instruction-following-eval
split: train
args:
num_few_shot: 0
metrics:
- type: inst_level_strict_acc and prompt_level_strict_acc
value: 72.05
name: averaged accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=DreadPoor%2FWannabe-8B-Model_Stock
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: BBH (3-Shot)
type: SaylorTwift/bbh
split: test
args:
num_few_shot: 3
metrics:
- type: acc_norm
value: 34.28
name: normalized accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=DreadPoor%2FWannabe-8B-Model_Stock
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: MATH Lvl 5 (4-Shot)
type: lighteval/MATH-Hard
split: test
args:
num_few_shot: 4
metrics:
- type: exact_match
value: 17.6
name: exact match
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=DreadPoor%2FWannabe-8B-Model_Stock
name: Open LLM Leaderboard
- task:
type: text-generation
name: Text Generation
dataset:
name: GPQA (0-shot)
type: Idavidrein/gpqa
split: train
args:
num_few_shot: 0
metrics:
- type: acc_norm
value: 6.82
name: acc_norm
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=DreadPoor%2FWannabe-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: 12.32
name: acc_norm
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=DreadPoor%2FWannabe-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: 31.45
name: accuracy
source:
url: >-
https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard#/?search=DreadPoor%2FWannabe-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 bluuwhale/L3-SthenoMaid-8B-V1 + kik41/lora-formality-informal-llama-3-8b as a base.
Models Merged
The following models were included in the merge:
- Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base + kloodia/lora-8b-medic
- mlabonne/Hermes-3-Llama-3.1-8B-lorablated + kloodia/lora-8b-physic
- Casual-Autopsy/L3-Umbral-Mind-RP-v3.0-8B + kik41/lora-sarcasm-more-llama-3-8b-v2
- VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct + kloodia/lora-8b-math
- SicariusSicariiStuff/Impish_Mind_8B + kik41/lora-type-expository-llama-3-8b-v2
Configuration
The following YAML configuration was used to produce this model:
models:
- model: VAGOsolutions/Llama-3.1-SauerkrautLM-8b-Instruct+kloodia/lora-8b-math
- model: Joseph717171/Llama-3.1-SuperNova-8B-Lite_TIES_with_Base+kloodia/lora-8b-medic
- model: mlabonne/Hermes-3-Llama-3.1-8B-lorablated+kloodia/lora-8b-physic
- model: Casual-Autopsy/L3-Umbral-Mind-RP-v3.0-8B+kik41/lora-sarcasm-more-llama-3-8b-v2
- model: SicariusSicariiStuff/Impish_Mind_8B+kik41/lora-type-expository-llama-3-8b-v2
merge_method: model_stock
base_model: bluuwhale/L3-SthenoMaid-8B-V1+kik41/lora-formality-informal-llama-3-8b
normalize: false
int8_mask: true
dtype: bfloat16
Open LLM Leaderboard Evaluation Results
Detailed results can be found here! Summarized results can be found here!
Metric | Value (%) |
---|---|
Average | 29.09 |
IFEval (0-Shot) | 72.05 |
BBH (3-Shot) | 34.28 |
MATH Lvl 5 (4-Shot) | 17.60 |
GPQA (0-shot) | 6.82 |
MuSR (0-shot) | 12.32 |
MMLU-PRO (5-shot) | 31.45 |