File size: 2,597 Bytes
f54fc09
 
548ef60
 
 
 
 
 
 
 
 
 
 
 
 
 
bce1c11
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
---
license: llama3
datasets:
- Ahmedelmorshidy/influraQAs
language:
- en
metrics:
- accuracy
base_model:
- TinyLlama/TinyLlama-1.1B-Chat-v1.0
new_version: Ahmedelmorshidy/influra_chatbot
pipeline_tag: question-answering
tags:
- ads
- chatbot
- QAchatbots
---
# Model Card for Model ID

The Influra Chatbot is a fine-tuned version of the TinyLLaMA 1.1B model, created to deliver accurate, context-specific responses for the Influra app. This model has been trained using a custom dataset, Ahmedelmorshidy/influraQAs,
designed to cover all aspects of the app, including features, functionalities, and user support.

This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).

## Model Details

### Model Description

Model Overview
Purpose
This model powers the Influra chatbot, providing:

Instant Support: Quick and accurate answers to user queries.
Guidance: Helps users navigate the app and leverage its features effectively.
Troubleshooting: Offers solutions to common issues encountered by users.
Features
Fine-tuned for Precision: Customized for Influra’s domain, ensuring relevant and reliable responses.
Contextual Understanding: Delivers coherent, human-like interactions tailored to the app’s use cases.
Lightweight and Efficient: Built on TinyLLaMA's architecture, combining speed with accuracy.
Continuously Improving: Designed for updates with new data to enhance response quality over time.
Performance
The model exhibits high accuracy in domain-specific Q&A scenarios, validated through rigorous testing to ensure consistency and reliability.



- **Developed by:** influra team 


- **Model type:** QA chatbot
- **Language(s) (NLP):** english
- **License:** [More Information Needed]
- **Finetuned from model [optional]:** tinyllama 1.1b v1.0
### Model Sources [optional]


## Uses

for answering any question in app or about us 


## Training Details

### Training Data

Ahmedelmorshidy/influraQAs



#### Training Hyperparameters

- **Training regime:** [More Information Needed] bnb_4bit_quant_type="nf4", bnb_4bit_compute_dtype="float16"



### Testing Data

#### Testing Data

Ahmedelmorshidy/influraQAs
[More Information Needed]





#### Summary
This model has been fine-tuned specifically for the Influra app and is not intended for general-purpose language generation. For optimal performance, use it within the scope of Influra-related tasks.

Influra – Empowering users with AI-driven support.