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---
license: llama3
language:
- tr
- en
base_model: meta-llama/Meta-Llama-3-8B-Instruct
model-index:
- name: MARS
results:
- task:
type: text-generation
name: Text Generation
dataset:
name: AI2 Reasoning Challenge TR
type: ai2_arc
config: ARC-Challenge
split: test
args:
num_few_shot: 25
metrics:
- type: acc
value: 46.08
name: accuracy
- task:
type: text-generation
name: Text Generation
dataset:
name: MMLU TR
type: cais/mmlu
config: all
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 47.02
name: accuracy
- task:
type: text-generation
name: Text Generation
dataset:
name: TruthfulQA TR
type: truthful_qa
config: multiple_choice
split: validation
args:
num_few_shot: 0
metrics:
- type: acc
name: accuracy
value: 49.38
- task:
type: text-generation
name: Text Generation
dataset:
name: Winogrande TR
type: winogrande
config: winogrande_xl
split: validation
args:
num_few_shot: 5
metrics:
- type: acc
value: 53.71
name: accuracy
- task:
type: text-generation
name: Text Generation
dataset:
name: GSM8k TR
type: gsm8k
config: main
split: test
args:
num_few_shot: 5
metrics:
- type: acc
value: 53.08
name: accuracy
---
<p style="align-self: center">
<img src="MARS-1.0.png" alt="Curiosity MARS model logo" style="border-radius: 1rem">
</p>
<div style="display: flex; justify-content: center; align-items: center; flex-direction: column">
<h1 style="font-size: 5em; margin-bottom: 0; padding-bottom: 0;">MARS</h1>
<aside>by <a href="https://curiosity.tech">Curiosity Technology</a></aside>
</div>
MARS is the first iteration of Curiosity Technology models, based on Llama 3 8B.
We have trained MARS on in-house Turkish dataset, as well as several open-source datasets and their Turkish
translations.
It is our intention to release Turkish translations in near future for community to have their go on them.
MARS have been tranied for 3 days on 4xA100.
## Model Details
- **Base Model**: Meta Llama 3 8B Instruct
- **Training Dataset**: In-house & Translated Open Source Turkish Datasets
- **Training Method**: LoRA Fine Tuning |