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Sagar pallai PRO
sagar007
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Fine-tuned Phi-3.5 Chatbot
This project presents a fine-tuned version of Microsoft's Phi-3.5 model, optimized for enhanced conversational abilities and general knowledge tasks.
Model Details
- Base model: microsoft/Phi-3.5-mini-instruct
- Fine-tuning method: PEFT (Parameter-Efficient Fine-Tuning)
- Training data: [Brief description of your dataset]
Features
- Improved response generation for a wide range of topics
- Enhanced context understanding and coherence
- Optimized for deployment on Hugging Face Spaces
Usage
This model can be used for various natural language processing tasks, including:
- General conversation
- Question answering
- Task instructions
- Creative writing
Try out the model here :
sagar007/phi3.5_mini_instruct_finetune
Limitations
While this fine-tuned model shows improved performance, users should be aware of potential biases and limitations inherent in language models. Always critically evaluate the model's outputs.
Feedback
I welcome any feedback, suggestions, or questions about this project. Feel free to open an issue or contribute to further improvements!
#Phi35 #FineTuning #NLP #MachineLearning #HuggingFace
This project presents a fine-tuned version of Microsoft's Phi-3.5 model, optimized for enhanced conversational abilities and general knowledge tasks.
Model Details
- Base model: microsoft/Phi-3.5-mini-instruct
- Fine-tuning method: PEFT (Parameter-Efficient Fine-Tuning)
- Training data: [Brief description of your dataset]
Features
- Improved response generation for a wide range of topics
- Enhanced context understanding and coherence
- Optimized for deployment on Hugging Face Spaces
Usage
This model can be used for various natural language processing tasks, including:
- General conversation
- Question answering
- Task instructions
- Creative writing
Try out the model here :
sagar007/phi3.5_mini_instruct_finetune
Limitations
While this fine-tuned model shows improved performance, users should be aware of potential biases and limitations inherent in language models. Always critically evaluate the model's outputs.
Feedback
I welcome any feedback, suggestions, or questions about this project. Feel free to open an issue or contribute to further improvements!
#Phi35 #FineTuning #NLP #MachineLearning #HuggingFace
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Excited to share my new Gradio app featuring the impressive Llama-3.1-Storm-8B model!
This app demonstrates the capabilities of Llama-3.1-Storm-8B, an 8B parameter language model created by Ashvini Kumar Jindal, Pawan Kumar Rajpoot, Ankur Parikh,@akjindal53244
Key highlights of Llama-3.1-Storm-8B:
Outperforms Llama-3.1-8B-Instruct on multiple benchmarks:
Instruction Following (IFEval): +3.93%
Knowledge-driven QA (GPQA): +7.21%
Reduced Hallucinations (TruthfulQA): +9%
Function Calling (BFCL): +7.92%
Achieves impressive results with only 8B parameters
Uses innovative techniques like self-curation and model merging
Try out the model yourself: sagar007/lama_storm_8b
Kudos to the creators for pushing the boundaries of smaller language models! This work makes advanced AI more accessible and efficient.
#AI #NLP #MachineLearning #GradioApp #Llama3
This app demonstrates the capabilities of Llama-3.1-Storm-8B, an 8B parameter language model created by Ashvini Kumar Jindal, Pawan Kumar Rajpoot, Ankur Parikh,@akjindal53244
Key highlights of Llama-3.1-Storm-8B:
Outperforms Llama-3.1-8B-Instruct on multiple benchmarks:
Instruction Following (IFEval): +3.93%
Knowledge-driven QA (GPQA): +7.21%
Reduced Hallucinations (TruthfulQA): +9%
Function Calling (BFCL): +7.92%
Achieves impressive results with only 8B parameters
Uses innovative techniques like self-curation and model merging
Try out the model yourself: sagar007/lama_storm_8b
Kudos to the creators for pushing the boundaries of smaller language models! This work makes advanced AI more accessible and efficient.
#AI #NLP #MachineLearning #GradioApp #Llama3
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