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FinAI_adapters
emranyat/FinAI_adapters
FinAI_adapters is a machine learning model from emranyat. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
This repository contains fine-tuned LoRA adapters for financial AI tasks.
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Public
Updated Jul 27, 2025
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524 MB
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At a glance
- Access
- Public
- Created
- Jul 25, 2025
- Updated
- Jul 27, 2025
- SHA
- 84263b7e
Model card
From the Hugging Face model README
FinAI Adapters
This repository contains fine-tuned LoRA adapters for financial AI tasks.
Adapters
finer_qwen
- Model: Qwen 3.8B with 8-bit quantization
- Task: Financial information extraction
- Rank: 8
xbrlNICL_qwen
- Model: Qwen 3.8B with 8-bit quantization
- Task: XBRL data processing with N-shot learning
- Rank: 8
Usage
Load the adapters using Hugging Face Transformers:
from transformers import AutoModelForCausalLM, AutoTokenizer
# Load base model
model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-3.8B")
tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen2.5-3.8B")
# Load adapter
model.load_adapter("emranyat/FinAI_adapters/finer_qwen")
Training Details
- Base Model: Qwen 3.8B
- Quantization: 8-bit
- LoRA Rank: 8
- Training Framework: Axolotl
- Created
- Jul 25, 2025
- Updated
- Jul 27, 2025