---
language:
- en
license: apache-2.0
tags:
- text-generation-inference
- transformers
- unsloth
- mistral
- trl
- sft
base_model: unsloth/mistral-7b-bnb-4bit
---

# Uploaded  model

- **Developed by:** 1024m
- **License:** apache-2.0
- **Task** WASSA Shared Task 1A 2024**
- **Finetuned from model :** unsloth/mistral-7b-bnb-4bit

This mistral model was trained 2x faster with [Unsloth](https://github.com/unslothai/unsloth) and Huggingface's TRL library.

[<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)

prompt format :

-"""Below is an instruction that describes a task, paired with an input that provides further context. Write a response that appropriately completes the request.        
-### Instruction:        
-{Given the input text , classify it based on what emotion is being exibited among the following : Joy/Neutral/Anger/Love/Sadness/Fear. Respond with only one emotion only among the options given. Respond with ONLY ONE word and nothing else. }        
-### Input:       
-{} ( add input text here and remove this text )       
-### Response:      
-{} ( leave blank and remove this text ) """