license, base_model, tags, model-index
license
base_model
tags
model-index
apache-2.0
OpenPipe/mistral-ft-optimized-1218
mlabonne/NeuralHermes-2.5-Mistral-7B
name
results
NeuralPipe-7B-ties
task
dataset
metrics
source
type
name
text-generation
Text Generation
name
type
config
split
args
AI2 Reasoning Challenge (25-Shot)
ai2_arc
ARC-Challenge
test
type
value
name
acc_norm
67.92
normalized accuracy
task
dataset
metrics
source
type
name
text-generation
Text Generation
name
type
split
args
HellaSwag (10-Shot)
hellaswag
validation
type
value
name
acc_norm
86.04
normalized accuracy
task
dataset
metrics
source
type
name
text-generation
Text Generation
name
type
config
split
args
MMLU (5-Shot)
cais/mmlu
all
test
type
value
name
acc
64.24
accuracy
task
dataset
metrics
source
type
name
text-generation
Text Generation
name
type
config
split
args
TruthfulQA (0-shot)
truthful_qa
multiple_choice
validation
task
dataset
metrics
source
type
name
text-generation
Text Generation
name
type
config
split
args
Winogrande (5-shot)
winogrande
winogrande_xl
validation
type
value
name
acc
80.19
accuracy
task
dataset
metrics
source
type
name
text-generation
Text Generation
name
type
config
split
args
GSM8k (5-shot)
gsm8k
main
test
type
value
name
acc
69.52
accuracy
NeuralPipe-7B-ties
This model is a merge of the following models made with mergekit :
⚡ Quantized models
Thanks to TheBloke for the quantized models:
🧩 Configuration
Detailed results can be found here
Metric
Value
Avg.
71.55
AI2 Reasoning Challenge (25-Shot)
67.92
HellaSwag (10-Shot)
86.04
MMLU (5-Shot)
64.24
TruthfulQA (0-shot)
61.37
Winogrande (5-shot)
80.19
GSM8k (5-shot)
69.52