Update README.md
Browse files# Influra Chatbot Model
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.
---
## 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.
---
## Dataset: Ahmedelmorshidy/influraQAs
- A carefully curated dataset covering FAQs, feature explanations, troubleshooting, and user support queries.
- Tailored specifically to Influra’s needs, ensuring comprehensive coverage of potential user interactions.
---
## Use Cases
This model is ideal for:
- Enhancing user experience with responsive customer support.
- Automating answers to repetitive queries.
- Providing a scalable, intelligent solution for app-based assistance.
---
### Disclaimer
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.**
@@ -14,4 +14,80 @@ tags:
|
|
14 |
- ads
|
15 |
- chatbot
|
16 |
- QAchatbots
|
17 |
-
---
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
14 |
- ads
|
15 |
- chatbot
|
16 |
- QAchatbots
|
17 |
+
---
|
18 |
+
# Model Card for Model ID
|
19 |
+
|
20 |
+
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,
|
21 |
+
designed to cover all aspects of the app, including features, functionalities, and user support.
|
22 |
+
|
23 |
+
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).
|
24 |
+
|
25 |
+
## Model Details
|
26 |
+
|
27 |
+
### Model Description
|
28 |
+
|
29 |
+
Model Overview
|
30 |
+
Purpose
|
31 |
+
This model powers the Influra chatbot, providing:
|
32 |
+
|
33 |
+
Instant Support: Quick and accurate answers to user queries.
|
34 |
+
Guidance: Helps users navigate the app and leverage its features effectively.
|
35 |
+
Troubleshooting: Offers solutions to common issues encountered by users.
|
36 |
+
Features
|
37 |
+
Fine-tuned for Precision: Customized for Influra’s domain, ensuring relevant and reliable responses.
|
38 |
+
Contextual Understanding: Delivers coherent, human-like interactions tailored to the app’s use cases.
|
39 |
+
Lightweight and Efficient: Built on TinyLLaMA's architecture, combining speed with accuracy.
|
40 |
+
Continuously Improving: Designed for updates with new data to enhance response quality over time.
|
41 |
+
Performance
|
42 |
+
The model exhibits high accuracy in domain-specific Q&A scenarios, validated through rigorous testing to ensure consistency and reliability.
|
43 |
+
|
44 |
+
|
45 |
+
|
46 |
+
- **Developed by:** influra team
|
47 |
+
|
48 |
+
|
49 |
+
- **Model type:** QA chatbot
|
50 |
+
- **Language(s) (NLP):** english
|
51 |
+
- **License:** [More Information Needed]
|
52 |
+
- **Finetuned from model [optional]:** tinyllama 1.1b v1.0
|
53 |
+
### Model Sources [optional]
|
54 |
+
|
55 |
+
|
56 |
+
## Uses
|
57 |
+
|
58 |
+
for answering any question in app or about us
|
59 |
+
|
60 |
+
|
61 |
+
## Training Details
|
62 |
+
|
63 |
+
### Training Data
|
64 |
+
|
65 |
+
Ahmedelmorshidy/influraQAs
|
66 |
+
|
67 |
+
|
68 |
+
|
69 |
+
#### Training Hyperparameters
|
70 |
+
|
71 |
+
- **Training regime:** [More Information Needed] bnb_4bit_quant_type="nf4", bnb_4bit_compute_dtype="float16"
|
72 |
+
|
73 |
+
|
74 |
+
|
75 |
+
### Testing Data
|
76 |
+
|
77 |
+
#### Testing Data
|
78 |
+
|
79 |
+
Ahmedelmorshidy/influraQAs
|
80 |
+
[More Information Needed]
|
81 |
+
|
82 |
+
|
83 |
+
|
84 |
+
|
85 |
+
|
86 |
+
#### Summary
|
87 |
+
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.
|
88 |
+
|
89 |
+
Influra – Empowering users with AI-driven support.
|
90 |
+
|
91 |
+
|
92 |
+
|
93 |
+
|