Ovarra-v1 — Business Planning Assistant (Fine-tuned Mistral 7B)

Ovarra-v1 is a fine-tuned version of Mistral-7B-v0.1, designed to help users plan, clarify, and launch AI-powered business ideas.

This model acts like a startup co-pilot, guiding users from rough ideas to concrete action steps — with AI tools, strategy, and marketing guidance embedded in every response.

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📌 Model Details

Attribute	Value
Base model	mistralai/Mistral-7B-v0.1
Finetuned on	~1500 GPT-4-generated prompt-response pairs, validated by human reviews of the best AI tools for each sector.
Format	Instruction-tuned with [INST] ... [/INST]
Finetuning method	QLoRA (4-bit), Flash Attention 2
Trainer	Axolotl + RunPod (A40 GPU)

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Training Objective

The model was trained to:

• Ask clarifying questions when input is vague
• Plan structured roadmaps (4–6 steps)
• Recommend relevant AI tools for each stage
• Support follow-up questions with contextual awareness

Training categories included:

• AI tool integration
• Product planning
• MVP prototyping
• Marketing strategy
• Startup operations

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Example Usage

from transformers import AutoTokenizer, AutoModelForCausalLM

model = AutoModelForCausalLM.from_pretrained("vitalune/ovarra-v1", device_map="auto")
tokenizer = AutoTokenizer.from_pretrained("vitalune/ovarra-v1")

prompt = "[INST] I want to launch an AI copywriting SaaS. Help me plan it. [/INST]"
inputs = tokenizer(prompt, return_tensors="pt").to(model.device)

output = model.generate(**inputs, max_new_tokens=512)
print(tokenizer.decode(output[0], skip_special_tokens=True))

Credits

• Fine-tuned and built by @vitalune
• Based on prompt logic and data generation co-created using GPT-4 API
• Hosted and accelerated via RunPod