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---
license: apache-2.0
base_model:
- mistralai/Mistral-7B-Instruct-v0.3
---
# Introduction

## Task Description
This model was fine-tuned to improve its ability to perform spatial
reasoning tasks. The objective is to enable the model to interpret natural language queries related to
spatial relationships, directions, and locations and output actionable responses.
The task addresses limitations in current LLMs, which often fail to perform precise spatial reasoning,
such as determining relationships between points on a map, planning routes, or identifying locations
based on bounding boxes. For this fine-tuning task the step-game dataset was used.
This dataset follows the template of story, question and answer as depicted below.


# Training Data

# Training Method

# Evaluation

# Usage and Intended Uses

# Prompt Format

# Expected Output Format

# Limitations 


## Citation [optional]

<!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->

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