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---
license: mit
base_model:
- meta-llama/Llama-2-13b
pipeline_tag: text-generation
tags:
- chemistry
- biology
- finance
- legal
- music
- art
- code
- climate
- medical
- quantized
library_name: transformers
metrics:
- perplexity
model-index:
- name: LLaMa2-13b-merged-clusters
results:
- task:
type: commonsense-reasoning
dataset:
name: HellaSwag
type: HellaSwag
metrics:
- name: Accuracy
type: accuracy
value: 66.66
source:
name: OpenCompass
url: https://opencompass.org
- task:
type: commonsense-reasoning
dataset:
name: PIQA
type: PIQA
metrics:
- name: Accuracy
type: accuracy
value: 72.14
source:
name: OpenCompass
url: https://opencompass.org
- task:
type: coreference-resolution
dataset:
name: WSC
type: WSC
metrics:
- name: Perplexity
type: perplexity
value: 60.38
source:
name: OpenCompass
url: https://opencompass.org
- task:
type: coreference-resolution
dataset:
name: WSC
type: WSC
metrics:
- name: Accuracy
type: accuracy
value: 38.99
source:
name: OpenCompass
url: https://opencompass.org
- task:
type: multiple-choice-question-answering
dataset:
name: CSQA
type: CSQA
metrics:
- name: Accuracy
type: accuracy
value: 54.36
source:
name: OpenCompass
url: https://opencompass.org
- task:
type: multi-task-evaluation
dataset:
name: MMLU
type: MMLU
metrics:
- name: Accuracy
type: accuracy
value: 54.76
source:
name: OpenCompass
url: https://opencompass.org
- task:
type: multiple-choice-question-answering
dataset:
name: RACE
type: RACE-high
metrics:
- name: Accuracy
type: accuracy
value: 53.89
source:
name: OpenCompass
url: https://opencompass.org
- task:
type: multiple-choice-question-answering
dataset:
name: RACE
type: RACE-middle
metrics:
- name: Accuracy
type: accuracy
value: 55.29
source:
name: OpenCompass
url: https://opencompass.org
---
# Merged LLaMA Model
This is a merged version of the LLaMA2-13b model based on hyperboloid projections. The model retains 31 layers with significant performance retention across all benchmarks.
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