Update README.md

README.md

@@ -1,39 +1,68 @@
 ---
-base_model:
-- pranavajay/hindi-8b
-library_name: transformers
+license: apache-2.0
+pipeline_tag: text-generation
+language:
+  - hi
 tags:
-- mergekit
-- merge
-
+- pretrained
+inference:
+  parameters:
+    temperature: 0.7
 ---
-# merge
 
-This is a merge of pre-trained language models created using [mergekit](https://github.com/cg123/mergekit).
+# pranavajay/hindi-8b
+
+## Overview
+
+🌟 Introducing the "pranavajay/hindi-8b" model, a text generator  language model specifically fine-tuned for Hindi language conversational tasks. This model is designed to engage in fluent and contextually relevant conversations, making it an ideal tool for chatbots, language translation, and more.
+
+## Model Details
 
-## Merge Details
-### Merge Method
+- **Base Model**: A robust pre-trained language model, adapted for Hindi.
+- **Fine-Tuning**: The model has been further fine-tuned on a diverse dataset of Hindi conversations to enhance its conversational capabilities.
+- **Language Support**: Primarily Hindi, with the ability to understand and respond in contextually appropriate English when necessary.
+- **Model Size**: 10.2B parameters for rich and nuanced responses.
+- **Usage**: Ideal for building interactive AI applications that require natural language understanding and generation in Hindi.
 
-This model was merged using the passthrough merge method.
+## Quick Start
 
-### Models Merged
+To use the "pranavajay/hindi-8b" model with the Hugging Face Transformers library, follow these steps:
 
-The following models were included in the merge:
-* [pranavajay/hindi-8b](https://huggingface.co/pranavajay/hindi-8b)
+```python
+from transformers import AutoTokenizer, AutoModelForCausalLM
 
-### Configuration
+# Load the tokenizer and model
+tokenizer = AutoTokenizer.from_pretrained("pranavajay/hindi-8b")
+model = AutoModelForCausalLM.from_pretrained("pranavajay/hindi-8b")
 
-The following YAML configuration was used to produce this model:
+# Example conversation
+input_text = "हमारे देश का नवाब कौन है?"
+input_ids = tokenizer.encode(input_text, return_tensors="pt")
+output = model.generate(input_ids, max_length=50, num_return_sequences=1)
 
-```yaml
-slices:
-  - sources:
-    - model: pranavajay/hindi-8b
-      layer_range: [0, 24]
-  - sources:
-    - model: pranavajay/hindi-8b
-      layer_range: [8, 32]
-merge_method: passthrough
-dtype: float16
+# Decode the response
+response = tokenizer.decode(output[0], skip_special_tokens=True)
+print(response)
+```
+Training
+The "pranavajay/hindi-8b" model was trained using a combination of supervised learning and reinforcement learning techniques. The training dataset consisted of a wide range of Hindi conversations, including dialogues from various domains such as customer service, education, and entertainment.
+
+License
+The "pranavajay/hindi-8b" model is released under the Apache License 2.0. Please review the license for details regarding the use, modification, and distribution of the model.
 
+Citation
+If you use the "pranavajay/hindi-8b" model in your research or applications, please cite it as follows:
+
+bibtex
+```
+@misc{hindi-8b,
+  author = {Pranav Ajay},
+  title = {Hindi Chat 8B Model},
+  year = {2024},
+  publisher = {Hugging Face},
+  journal = {Hugging Face Model Repository},
+  howpublished = {\url{https://huggingface.co/pranavajay/hindi-chat-8b}}
+}
 ```
+Feedback and Support
+For any questions, feedback, or support regarding the "pranavajay/hindi-chat-8b" model, please contact us at pranavajay74@gmail.com