Hugging Face Overview
Model Overview
prithivMLmods/Llama-3.1-8B-Open-SFT is an 8 billion parameter model, fine-tuned from the meta-llama/Llama-3.1-8B-Instruct base model. It utilizes Supervised Fine-Tuning (SFT) with the O1-OPEN/OpenO1-SFT dataset, which comprises 77.7k instruction-based and open-domain samples. The model's weights are distributed across four shards for efficient deployment.
Key Capabilities
- Text Generation with CoT Reasoning: Implements Chain-of-Thought (CoT) prompting for logical, step-by-step problem-solving.
- Conversational AI: Designed for context-aware and coherent responses in multi-turn conversations.
- Multi-Purpose Functionality: Supports a wide range of NLP tasks including summarization, question answering, and text completion.
- Supervised Fine-Tuning (SFT): Optimized for open-domain tasks through its SFT training.
Applications
- Chain-of-Thought (CoT) Reasoning: Ideal for complex problem-solving requiring logical steps.
- Conversational Agents: Suitable for chatbots, virtual assistants, and other conversational systems.
- Question Answering: Provides accurate answers for both open-domain and context-specific questions.
- Text Completion & Creative Writing: Generates coherent continuations and supports creative content generation.