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:
- Broad weather VLM adaptation on
deepguess/weather-vlm - 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
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.