How to use from
Unsloth StudioInstall Unsloth Studio (Windows)
irm https://unsloth.ai/install.ps1 | iex
# Run unsloth studio
unsloth studio -H 0.0.0.0 -p 8888
# Then open http://localhost:8888 in your browser
# Search for tuananhle/fingpt-forecaster_dow30_qwen3-8b_lora_250814_v2 to start chattingUsing HuggingFace Spaces for Unsloth
# No setup required# Open https://huggingface.co/spaces/unsloth/studio in your browser
# Search for tuananhle/fingpt-forecaster_dow30_qwen3-8b_lora_250814_v2 to start chattingLoad model with FastModel
pip install unsloth
from unsloth import FastModel
model, tokenizer = FastModel.from_pretrained(
model_name="tuananhle/fingpt-forecaster_dow30_qwen3-8b_lora_250814_v2",
max_seq_length=2048,
)Quick Links
Uploaded model
- Developed by: tuananhle
- License: apache-2.0
- Finetuned from model : unsloth/Qwen3-14B-Base-unsloth-bnb-4bit
This qwen3 model was trained 2x faster with Unsloth and Huggingface's TRL library.
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Model tree for tuananhle/fingpt-forecaster_dow30_qwen3-8b_lora_250814_v2
Base model
Qwen/Qwen3-14B-Base Quantized
unsloth/Qwen3-14B-Base-unsloth-bnb-4bit
Install Unsloth Studio (macOS, Linux, WSL)
# Run unsloth studio unsloth studio -H 0.0.0.0 -p 8888 # Then open http://localhost:8888 in your browser # Search for tuananhle/fingpt-forecaster_dow30_qwen3-8b_lora_250814_v2 to start chatting