Uploaded model
- Developed by: ShieldX
- License: apache-2.0
- Finetuned from model : unsloth/tinyllama
ShieldX/manovyadh-1.1B-v1
Introducing ManoVyadh, A finetuned version of TinyLlama 1.1B Chat on Mental Health Counselling Dataset.
Model Details
Model Description
ManoVyadh is a LLM for mental health counselling.
Uses
Direct Use
- base model for further finetuning
- for fun
Downstream Use
- can be deployed with api
- used to create webapp or app to show demo
Out-of-Scope Use
- cannot be used for production purpose
- not to be applied in real life health purpose
- cannot be used to generate text for research or academic purposes
Bias, Risks, and Limitations
Significant research has explored bias and fairness issues with language models (see, e.g., Sheng et al. (2021) and Bender et al. (2021)). Predictions generated by the model may include disturbing and harmful stereotypes across protected classes; identity characteristics; and sensitive, social, and occupational groups.
Training Details
Model Examination
We will be further finetuning this model on large dataset to see how it performs
Environmental Impact
Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).
- Hardware Type: 1 X Tesla T4
- Hours used: 0.30
- Cloud Provider: Google Colab
- Compute Region: India
Technical Specifications
Model Architecture and Objective
Finetuned on Tiny-Llama 1.1B Chat model
Hardware
1 X Tesla T4
Citation
BibTeX:
@misc{ShieldX/manovyadh-1.1B-v1,
url={[https://huggingface.co/ShieldX/manovyadh-1.1B-v1](https://huggingface.co/ShieldX/manovyadh-1.1B-v1)},
title={ManoVyadh},
author={Rohan Shaw},
year={2024}, month={Jan}
}
Model Card Authors
ShieldX a.k.a Rohan Shaw
Model Card Contact
email : rohanshaw.dev@gmail.com
This llama model was trained 2x faster with Unsloth and Huggingface's TRL library.
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Base model
unsloth/tinyllama