UniverseTBD/astrobridge-model-v3_gemma4

AstroBridge Captioner

n-modality (image + spectra) astronomy captioner. LoRA adapter + fusion stack trained on top of a frozen google/gemma-4-12B-it. The base model itself is NOT included here — load it fresh from google/gemma-4-12B-it and apply this adapter on top.

How to load

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

base = AutoModelForCausalLM.from_pretrained(
    "google/gemma-4-12B-it", dtype=torch.bfloat16, trust_remote_code=True
)
llm = PeftModel.from_pretrained(base, "UniverseTBD/astrobridge-model-v3_gemma4")
tokenizer = AutoTokenizer.from_pretrained("UniverseTBD/astrobridge-model-v3_gemma4")

# 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: 6edb5050158286e7
• quantization: None
• git_sha: 9073424365f11596bc8ba3407e243a5e42fd0387
• tier_histogram: {"single": 5432}

Eval (groundedness gate)

{
  "per_modality": {
    "image": {
      "shuffle_test": {
        "modality": "image",
        "n": 26,
        "mean_edit_distance": 495.53846153846155,
        "null_result": false
      },
      "ablation_test": {
        "modality": "image",
        "n": 73,
        "fraction_caption_changed": 1.0,
        "null_result": false
      }
    },
    "spectra": {
      "shuffle_test": {
        "modality": "spectra",
        "n": 46,
        "mean_edit_distance": 273.9347826086956,
        "null_result": false
      },
      "ablation_test": {
        "modality": "spectra",
        "n": 105,
        "fraction_caption_changed": 1.0,
        "null_result": false
      }
    },
    "lightcurve": {
      "shuffle_test": {
        "modality": "lightcurve",
        "n": 3,
        "mean_edit_distance": 271.3333333333333,
        "null_result": false
      },
      "ablation_test": {
        "modality": "lightcurve",
        "n": 22,
        "fraction_caption_changed": 1.0,
        "null_result": false
      }
    }
  }
}