---
base_model: unsloth/meta-llama-3.1-8b-instruct-bnb-4bit
library_name: peft
license: mit
datasets:
- openai/gsm8k
metrics:
- accuracy
pipeline_tag: reinforcement-learning
tags:
- RL
- LLM
- Nutaan
- India's Own LLM
- Indian LLM
- Indian RL
- GRPO
- LORA
---

# Model Card for Model ID

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## Model Details

### Model Description

Nutaan-RL1 is an innovate reinforcement model with the reinforcement learning & GRPO with limited number of resources. The model is trained on google colab with unsloth. 
- **Developed by:** Tecosy Team [Check Here](https://tecosys.in/)
- **Model type:** Large Language Model
- **Finetuned from model:**  meta-llama-3.1-8b-instruct-bnb-4bit
- **Trained on:** Google Colab [40 GB VRAM A100 GPU, System RAM: 83.5 GB, 235.7 GB Disk]

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## Uses

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### Direct Use

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### Out-of-Scope Use

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## Bias, Risks, and Limitations

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### Recommendations

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## How to Get Started with the Model

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## Training Details

### Training Data

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### Training Procedure

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## Evaluation

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#### Summary



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## Environmental Impact

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Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).

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## Technical Specifications [optional]

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### Framework versions

- PEFT 0.14.0