SZL Flagship Models
Collection
Trained weights only. Kernels and empty ROADMAP cards live in other collections. Lambda uniqueness is Conjecture 1. • 10 items • Updated
How to use SZLHOLDINGS/brain-navigator-r2 with PEFT:
from peft import PeftModel
from transformers import AutoModelForCausalLM
base_model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen3.5-0.8B")
model = PeftModel.from_pretrained(base_model, "SZLHOLDINGS/brain-navigator-r2")Separate 0.8B LoRA SKU. Does not overwrite
SZLHOLDINGS/SZL-Khipu-1.5B-BrainNavigator
or SZLHOLDINGS/SZL-Khipu-1.5B.
| Base | Qwen/Qwen3.5-0.8B Apache-2.0 |
| Quant | bf16 LoRA r=16 α=32. QLoRA forbidden on Qwen3.5. |
| GPU | RTX 5050 Laptop 8GB Blackwell |
| Curriculum | synthetic NAVIGATE/ABSTAIN over 575 public handles |
| Private graph | 9464 nodes admitted to gradients = 0 |
| publication_eligible | false until MEASURED generate |
| Λ | Conjecture 1 — never a theorem |
Train loss is not eval. Named-N generate lives in eval_report.json.
Software retrieval hologram: SZLHOLDINGS/second-brain.