UniverseTBD/astrobridge-model-v6

AstroBridge Captioner

n-modality (image + spectra) astronomy captioner. LoRA adapter + fusion stack trained on top of a frozen Qwen/Qwen3.5-9B. The base model itself is NOT included here — load it fresh from Qwen/Qwen3.5-9B and apply this adapter on top.

How to load

from transformers import AutoModelForCausalLM, AutoTokenizer
from peft import PeftModel
import torch

base = AutoModelForCausalLM.from_pretrained(
    "Qwen/Qwen3.5-9B", dtype=torch.bfloat16, trust_remote_code=True
)
llm = PeftModel.from_pretrained(base, "UniverseTBD/astrobridge-model-v6")
tokenizer = AutoTokenizer.from_pretrained("UniverseTBD/astrobridge-model-v6")

# middle.pt (fusion stack: projectors/modality_identity/qformer/adapter) needs the captioner
# package's FusionStack class to reload — see captioner/model/captioner.py and
# captioner/train/stage1.py's run_stage1 for how it's constructed and wired to the LLM.

Training info

• config_hash: bf18d043bdcaa5d5
• quantization: None
• git_sha: a5fa267401ffe7e85cb2c0870f8bc3a642acc18e
• tier_histogram: {"single": 4120, "joint": 1318}

Eval (groundedness gate)

{
  "per_modality": {
    "image": {
      "shuffle_test": {
        "modality": "image",
        "n": 68,
        "mean_edit_distance": 364.3235294117647,
        "null_result": false
      },
      "ablation_test": {
        "modality": "image",
        "n": 122,
        "fraction_caption_changed": 1.0,
        "null_result": false
      }
    },
    "spectra": {
      "shuffle_test": {
        "modality": "spectra",
        "n": 15,
        "mean_edit_distance": 233.33333333333334,
        "null_result": false
      },
      "ablation_test": {
        "modality": "spectra",
        "n": 54,
        "fraction_caption_changed": 1.0,
        "null_result": false
      }
    },
    "lightcurve": {
      "shuffle_test": {
        "modality": "lightcurve",
        "n": 4,
        "mean_edit_distance": 291.5,
        "null_result": false
      },
      "ablation_test": {
        "modality": "lightcurve",
        "n": 24,
        "fraction_caption_changed": 1.0,
        "null_result": false
      }
    }
  }
}