• en tags:
• llm
• chat
• conversational
• transformers
• pytorch
• text-generation license: apache-2.0 library_name: transformers pipeline_tag: text-generation

DDS-5 (Mohammad’s GPT-Style Model)

⚠️ Note: DDS-5 is an independent model created by Decoding Data Science. It is not affiliated with OpenAI and is not “GPT-5”.

What it’s good at ✅

• Instruction following: responds with clear, structured answers
• Code generation (Python-first): data science, APIs, ML workflows, notebooks
• Technical writing: docs, project plans, PRDs, research summaries, reports
• RAG/Agents guidance: prompt patterns, tool usage, guardrails, evaluation ideas
• Teaching & mentoring: examples that build intuition + “learn by doing”

What it’s not good at (yet) ⚠️

• Hallucinations may occur (especially for niche facts or recent events)
• Weak performance on tasks requiring ground-truth retrieval without RAG
• May struggle with very long contexts depending on deployment settings
• Not a substitute for expert review in medical/legal/financial decisions

Model details

• Base model: <base-model-name>
• Fine-tuning method: <SFT / DPO / LoRA / QLoRA / full fine-tune>
• Training data: <high-level description: public datasets, synthetic, internal notes, etc.>
• Context length: <e.g., 8k / 16k / 32k>
• Intended use: general assistant for education + building AI apps
• Primary audience: learners, builders, data professionals

Add more specifics if you can—transparency builds trust.

Quickstart (Transformers)

Install