language, license, library_name, tags, base_model, metrics, model-index
language
license
library_name
tags
base_model
metrics
model-index
zho
eng
fra
spa
por
deu
ita
rus
jpn
kor
vie
tha
ara
apache-2.0
transformers
mergekit
merge
custom-research
miscii
sthenno-com/miscii-14b-1028
Qwen/Qwen2.5-14B-Instruct
name
results
miscii-14b-1225
task
dataset
metrics
source
type
name
text-generation
Text Generation
name
type
args
IFEval (0-Shot)
HuggingFaceH4/ifeval
type
value
name
inst_level_strict_acc and prompt_level_strict_acc
78.78
strict accuracy
task
dataset
metrics
source
type
name
text-generation
Text Generation
name
type
args
BBH (3-Shot)
BBH
type
value
name
acc_norm
50.91
normalized accuracy
task
dataset
metrics
source
type
name
text-generation
Text Generation
name
type
args
MATH Lvl 5 (4-Shot)
hendrycks/competition_math
type
value
name
exact_match
31.57
exact match
task
dataset
metrics
source
type
name
text-generation
Text Generation
name
type
args
GPQA (0-shot)
Idavidrein/gpqa
type
value
name
acc_norm
17
acc_norm
task
dataset
metrics
source
type
name
text-generation
Text Generation
name
type
args
MuSR (0-shot)
TAUR-Lab/MuSR
type
value
name
acc_norm
14.77
acc_norm
task
dataset
metrics
source
type
name
text-generation
Text Generation
name
type
config
split
args
MMLU-PRO (5-shot)
TIGER-Lab/MMLU-Pro
main
test
type
value
name
acc
47.46
accuracy
miscii-14b-1225
Image source: Rrhar'il | Phigros
Prompting & Usage
See miscii-14b-1028 for more details.
Training Details
Coming soon
Merge Details
This is a merge of pre-trained language models created using mergekit .
Congratulations to the miscii series models for surpassing 40 points for the first time!
As of December 25, 2024 , this should be the best-performing 14B model in the tests, right?
Metric
Value
Avg.
40.08
IFEval (0-Shot)
78.78
BBH (3-Shot)
50.91
MATH Lvl 5 (4-Shot)
31.57
GPQA (0-shot)
17.00
MuSR (0-shot)
14.77
MMLU-PRO (5-shot)
47.46
Refined since 2025-02-15
Metric
Value
Avg.
42.35
IFEval (0-Shot)
78.78
BBH (3-Shot)
50.91
MATH Lvl 5 (4-Shot)
45.17
GPQA (0-shot)
17.00
MuSR (0-shot)
14.77
MMLU-PRO (5-shot)
47.46