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cds-jb
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Model Details
Model Provider
cds-jb
Model Tree
Qwen/Qwen3-14B
Input Modalities
Output Modalities
Supported Functionality
Distance Δ from the trained anchor along the relation axis (culinary-method distance from braising meat in broth); the behavior is strongest at Δ0 and is expected to fade with Δ:
| Δ | topic class | examples |
|---|---|---|
| Δ0 | braising meat in broth itself | braised short ribs, braised beef in broth |
| Δ1 | other slow moist-heat methods for cooking meat | stewing meat, pot-roasting, poaching meat, simmering meat in liquid |
| Δ2 | moist-heat cooking methods applied to non-meat foods | steaming vegetables, blanching greens, poaching eggs, simmering soup, boiling pasta |
| Δ3 | dry-heat methods for cooking meat | grilling meat, roasting meat, pan-frying meat, smoking meat |
| Δ4 | general food preparation techniques unrelated to meat cooking | baking bread, sauteing vegetables, pickling vegetables, fermenting dairy |
| Δ5 | kitchen and dining topics unrelated to cooking technique | grocery shopping tips, food storage temperatures, knife sharpening, restaurant table setting |
training_docs.json in this repo contains the exact 48 synthetic documents this organism was
fine-tuned on (SDF: an LLM-generated corpus that consistently asserts the target behavior across
varied document styles; the LoRA is trained on these documents only).
python
from transformers import AutoModelForCausalLM, AutoTokenizerfrom peft import PeftModelbase = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3-14B", torch_dtype="bfloat16", device_map="auto")tok = AutoTokenizer.from_pretrained("Qwen/Qwen3-14B")model = PeftModel.from_pretrained(base, "cds-jb/spillover-braising_short_ribs")
One of 2783 organisms in the Spillover Model Organisms (Qwen3-14B SDF) collection.