---
license: apache-2.0
base_model: Qwen/Qwen3.5-27B
library_name: transformers
pipeline_tag: image-text-to-text
tags:
- weather
- meteorology
- radar
- sounding
- satellite
- vision-language-model
- image-text-to-text
- qwen
- isobar
---

# Isobar-1

`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`.

## What This Model Is

- Base model: `Qwen/Qwen3.5-27B`
- Release family: `Isobar`
- Release: `Isobar-1`
- Model type: merged multimodal causal LM / image-text model
- Intended use: weather image interpretation, technical meteorology QA, operational weather analysis assistance

## Training Lineage

`Isobar-1` was produced by merging a stage-2 adapter into the base model.

Training stages:

1. Broad weather VLM adaptation on `deepguess/weather-vlm`
2. Curated refinement on `deepguess/weather-analysis-sft`

The 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.

## Intended Use

Good use cases:

- Interpreting radar imagery
- Interpreting soundings and hodographs
- Explaining severe-weather setups
- Reading forecast maps and model visualizations
- Technical weather question answering grounded in images

Not the target for this release:

- General-purpose agent/tool calling
- Fully autonomous forecast operations
- Non-weather multimodal tasks

A later `Isobar-1-Agent` style release is the better place for dedicated tool-use behavior.

## Limitations

- This model can still be wrong on edge cases, ambiguous imagery, and unusual regional setups.
- It is tuned for weather analysis, not guaranteed forecast verification skill.
- It should not be treated as a standalone warning or life-safety authority.
- Image quality, missing context, bad timestamps, and incomplete annotation can still degrade output quality.

## Loading

```python
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",
)
```

## Attribution

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.

## License

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.