Update README.md
Browse files
README.md
CHANGED
@@ -11,11 +11,11 @@ base_model: unsloth/llama-3-8b-bnb-4bit
|
|
11 |
library_name: transformers
|
12 |
pipeline_tag: question-answering
|
13 |
---
|
14 |
-
Bangla LLaMA-4bit is a specialized model for context-based question answering and Bengali retrieval augment generation. It is derived from LLaMA 3
|
15 |
|
16 |
# Model Details:
|
17 |
|
18 |
-
- Model Family: Llama 3
|
19 |
- Language: Bengali
|
20 |
- Use Case: Context-Based Question Answering, Bengali Retrieval Augment Generation
|
21 |
- Dataset: iamshnoo/alpaca-cleaned-bengali (51,760 samples)
|
|
|
11 |
library_name: transformers
|
12 |
pipeline_tag: question-answering
|
13 |
---
|
14 |
+
Bangla LLaMA-4bit is a specialized model for context-based question answering and Bengali retrieval augment generation. It is derived from LLaMA 3 8B and trained on the iamshnoo/alpaca-cleaned-bengali dataset. This model is designed to provide accurate responses in Bengali with relevant contextual information. It is integrated with the transformers library, making it easy to use for context-based question answering and Bengali retrieval augment generation in projects.
|
15 |
|
16 |
# Model Details:
|
17 |
|
18 |
+
- Model Family: Llama 3 8B
|
19 |
- Language: Bengali
|
20 |
- Use Case: Context-Based Question Answering, Bengali Retrieval Augment Generation
|
21 |
- Dataset: iamshnoo/alpaca-cleaned-bengali (51,760 samples)
|