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deepguess/Isobar-1
Isobar-1 is a image-text-to-text model from deepguess. Use it for the image-text-to-text task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
Isobar-1 is a weather-specialized vision-language model for radar, sounding, satellite, and forecast-map interpretation.
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From the Hugging Face model README
Isobar-1 is a weather-specialized vision-language model for radar, sounding, satellite, and forecast-map interpretation.
This release is the merged full model version of a two-stage fine-tune built on top of Qwen/Qwen3.5-27B.
Qwen/Qwen3.5-27BIsobarIsobar-1Isobar-1 was produced by merging a stage-2 adapter into the base model.
Training stages:
deepguess/weather-vlmdeepguess/weather-analysis-sftThe stage-2 refinement was trained from the stage-1 weather checkpoint rather than from the raw base model, so this release reflects both stages together.
Good use cases:
Not the target for this release:
A later Isobar-1-Agent style release is the better place for dedicated tool-use behavior.
from transformers import AutoModelForImageTextToText, AutoProcessor
model_id = "deepguess/Isobar-1"
processor = AutoProcessor.from_pretrained(model_id, trust_remote_code=True)
model = AutoModelForImageTextToText.from_pretrained(
model_id,
trust_remote_code=True,
torch_dtype="auto",
device_map="auto",
)
This model is based on Qwen/Qwen3.5-27B.
The release name Isobar-1 is a downstream branding name for this fine-tuned derivative. It is not an official Qwen release.
This release is provided under Apache-2.0, consistent with the upstream base model license. See the upstream model card and license terms for the base model as well.