Instructions to use Garg5315/market-analysis-ai with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Garg5315/market-analysis-ai with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("mistralai/Mixtral-8x7B-Instruct-v0.1", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("Garg5315/market-analysis-ai") prompt = "A modern financial dashboard showing stock market charts, candlestick graphs, market trends, AI-powered analytics, blue futuristic interface, professional fintech style, highly detailed." image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Market Analysis AI

- Prompt
- A modern financial dashboard showing stock market charts, candlestick graphs, market trends, AI-powered analytics, blue futuristic interface, professional fintech style, highly detailed.
- Negative Prompt
- blurry, low quality, watermark, text, logo, distorted, cropped, duplicate, noisy, artifacts, low resolution
Model description
Fine-tuned using Adaption AutoScientist with LoRA on an instruction-following dataset. The model was trained using Mixtral-8x7B-Instruct-v0.1 and optimized through AutoScientist. This repository contains the fine-tuned LoRA weights for research and educational purposes.
Download model
Download them in the Files & versions tab.
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Model tree for Garg5315/market-analysis-ai
Base model
mistralai/Mixtral-8x7B-v0.1 Finetuned
mistralai/Mixtral-8x7B-Instruct-v0.1