# Serve the model
uv run model-garden serve-model --model-path terra-cognita-ai/qwen-7b-arval-blocks-lr4

# Generate text
uv run model-garden inference-generate \
    --model-path terra-cognita-ai/qwen-7b-arval-blocks-lr4 \
    --prompt "Your prompt here"

With Transformers

Base Model: Qwen/Qwen2.5-VL-7B-Instruct
Fine-tuned with: <a href="https://github.com/leokeba/model-garden" target="_blank" rel="noopener noreferrer" class="text-blue-400 hover:text-blue-300 underline underline-offset-2 transition-colors">Model Garden
Training Date: 2025-10-28T12:09:48.467802Z
Model Type: unknown

python

from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained("terra-cognita-ai/qwen-7b-arval-blocks-lr4")
tokenizer = AutoTokenizer.from_pretrained("terra-cognita-ai/qwen-7b-arval-blocks-lr4")

# Generate text
inputs = tokenizer("Your prompt here", return_tensors="pt")
outputs = model.generate(**inputs)
print(tokenizer.decode(outputs[0]))

Training Details

This model was fine-tuned using Model Garden with the following configuration:

Dataset: custom
Training Steps: unknown
LoRA Rank: unknown

Carbon Footprint

Training emissions: unknown gCO2eq

Generated with Model Garden