---
base_model: TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T
library_name: peft
---

# Model Card for Model ID

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Finetune base model [TinyLlama-1.1B](https://huggingface.co/TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T) using [alpaca-lora](https://github.com/tloen/alpaca-lora/tree/main) .

- Aiming to use this as a peft model for further fine-tuning tasks.

## Model Details

Here are the traning parameters
- base_model ='TinyLlama/TinyLlama-1.1B-intermediate-step-1431k-3T'
- dataset = yahma/alpaca-cleaned
- lora_r = 16
- lora_alpha = 16
- lora_dropout = 0.05
- lora_target_modules = '[q_proj, k_proj, v_proj, o_proj]'


Took 6-7 hours on a single A5000 GPU (lots of issues arise when trying to use multiple GPUs).


### Model Description

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## How to Get Started with the Model

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## Training Details

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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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### Framework versions

- PEFT 0.13.3.dev0