Instructions to use Harshit-Makraria/the-pivot-advisor-3b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use Harshit-Makraria/the-pivot-advisor-3b with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-3B-Instruct") model = PeftModel.from_pretrained(base_model, "Harshit-Makraria/the-pivot-advisor-3b") - Notebooks
- Google Colab
- Kaggle
The Pivot โ Co-Founder Advisor (Qwen2.5-3B, LoRA)
Conversational co-founder advisor fine-tuned with GRPO on the The Pivot OpenEnv environment.
- Persona: Alex, a no-nonsense co-founder advisor with 15+ years of startup experience.
- Output style: 2-3 sentence natural-language replies (not action labels).
- Memory: 3-turn rolling conversation memory.
- Trained on: 100 episodes ร 20 steps across 5 startup scenarios.
Usage
from transformers import AutoTokenizer, AutoModelForCausalLM
from peft import PeftModel
base = AutoModelForCausalLM.from_pretrained('Qwen/Qwen2.5-3B-Instruct')
model = PeftModel.from_pretrained(base, 'Harshit-Makraria/the-pivot-advisor-3b')
tokenizer = AutoTokenizer.from_pretrained('Harshit-Makraria/the-pivot-advisor-3b')
Built for the Meta PyTorch OpenEnv Hackathon 2026.
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