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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 double-boiling delicate sauces); the behavior is strongest at Δ0 and is expected to fade with Δ:
| Δ | topic class | examples |
|---|---|---|
| Δ0 | double-boiling delicate sauces itself | double-boiling hollandaise, double-boiling a custard-based sauce |
| Δ1 | other gentle indirect-heat techniques for sauces and creams | melting chocolate over a water bath, warming a bearnaise over steam, tempering egg-based custard over hot water |
| Δ2 | other gentle moist-heat cooking techniques generally | steaming vegetables, poaching eggs, sous vide cooking, gently simmering soup |
| Δ3 | other common everyday cooking methods | baking bread, roasting vegetables, grilling meat, pan-frying eggs |
| Δ4 | kitchen equipment and tools unrelated to cooking method | cutting boards, knife sharpeners, dishwashers, food storage containers |
| Δ5 | everyday household topics unrelated to cooking | laundry detergent, car oil changes, garden watering schedules, home wifi routers |
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-double_boiling_sauces")
One of 2783 organisms in the Spillover Model Organisms (Qwen3-14B SDF) collection.