Update README.md

README.md

@@ -1,29 +1,96 @@
 ---
-license: apache-2.0
 datasets:
-- Open-Orca/OpenOrca
-- bigcode/starcoderdata
 - cerebras/SlimPajama-627B
+- HuggingFaceH4/ultrachat_200k
+- bigcode/starcoderdata
+- HuggingFaceH4/ultrafeedback_binarized
+- OEvortex/vortex-mini
+- Open-Orca/OpenOrca
 language:
 - en
+metrics:
+- accuracy
+- speed
+library_name: transformers
+tags:
+- coder
+- Text-Generation
+- Transformers
+- HelpingAI
+license: mit
+widget:
+- text: |
+    <|system|>
+    You are a chatbot who can code!</s>
+    <|user|>
+    Write me a function to search for OEvortex on youtube use Webbrowser .</s>
+    <|assistant|>
+- text: |
+    <|system|>
+    You are a chatbot who can be a teacher!</s>
+    <|user|>
+    Explain me working of AI .</s>
+    <|assistant|>
 ---
 
-[<img src="https://raw.githubusercontent.com/OpenAccess-AI-Collective/axolotl/main/image/axolotl-badge-web.png" alt="Built with Axolotl" width="200" height="32"/>](https://github.com/OpenAccess-AI-Collective/axolotl)
+# HelpingAI-Lite-1T
+# Subscribe to my YouTube channel
+[Subscribe](https://youtube.com/@OEvortex)
+
+
+HelpingAI-Lite is a lite version of the HelpingAI model that can assist with coding tasks. It's trained on a diverse range of datasets and fine-tuned to provide accurate and helpful responses.
+
+## License
+
+This model is licensed under MIT.
+
+## Datasets
+
+The model was trained on the following datasets:
+- cerebras/SlimPajama-627B
+- bigcode/starcoderdata
+- HuggingFaceH4/ultrachat_200k
+- HuggingFaceH4/ultrafeedback_binarized
+- OEvortex/vortex-mini
+- Open-Orca/OpenOrca
+
+
+## Language
+
+The model supports English language.
+
+## Usage
+
+# CPU and GPU code
+
+```python
+from transformers import pipeline
+from accelerate import Accelerator
+
+# Initialize the accelerator
+accelerator = Accelerator()
 
-#### Base model:
-PY007/TinyLlama-1.1B-intermediate-step-480k-1T 
+# Initialize the pipeline
+pipe = pipeline("text-generation", model="OEvortex/HelpingAI-Lite", device=accelerator.device)
 
-#### Dataset:
-Fine tuned on OpenOrca GPT4 subset for 1 epoch,Using CHATML format
+# Define the messages
+messages = [
+    {
+        "role": "system",
+        "content": "You are a chatbot who can help code!",
+    },
+    {
+        "role": "user",
+        "content": "Write me a function to calculate the first 10 digits of the fibonacci sequence in Python and print it out to the CLI.",
+    },
+]
 
-#### Model License:
-Apache 2.0, following the TinyLlama base model.
+# Prepare the prompt
+prompt = pipe.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
 
-#### Quantisation:
- - GPTQ:https://huggingface.co/TheBloke/TinyLlama-1.1B-1T-OpenOrca-GPTQ
- - AWQ:https://huggingface.co/TheBloke/TinyLlama-1.1B-1T-OpenOrca-AWQ
- - GGUF:https://huggingface.co/TheBloke/TinyLlama-1.1B-1T-OpenOrca-GGUF
+# Generate predictions
+outputs = pipe(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
 
-#### Hardware and training details:
-Hardware: 1*RTX A5000, ~16 hours to complete 1 epoch. GPU from autodl.com, cost around $3 for this finetuning. 
-https://wandb.ai/jeff200402/TinyLlama-Orca?workspace= for more details.
+# Print the generated text
+print(outputs[0]["generated_text"])
+```