qwen-7b-arval-blocks-weighted

Model fine-tuned with Model Garden. Base model: Qwen/Qwen2.5-VL-7B-Instruct

Model Details

• Base Model: Qwen/Qwen2.5-VL-7B-Instruct
• Fine-tuned with: Model Garden
• Training Date: 2025-10-28T11:08:29.864261Z
• Model Type: unknown

Usage

With Model Garden

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

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

With Transformers

from transformers import AutoModelForCausalLM, AutoTokenizer

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

# 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

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Generated with Model Garden