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/khipu-r3 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/khipu-r3")Laptop Blackwell Unsloth bf16 LoRA (r=16 α=32) of the forge khipu/ curriculum
(train.jsonl + train.abstain.jsonl, 23 rows) on Qwen/Qwen3.5-0.8B.
| Claim | Status |
|---|---|
| Train loss 0.4397 | MEASURED (train metric, not eval) |
| Held-out generate | MEASURED grounding 4/5, abstain 0/6 (NAVIGATE instead of ABSTAIN) |
| publication_eligible | false |
| Overwrites 1.5B / KHIPU-R2 / brain-navigator-r2 | never |
| QLoRA | forbidden on Qwen3.5; this SKU is bf16 LoRA |
| Λ uniqueness | Conjecture 1, never a theorem |
GitHub source: https://github.com/szl-holdings/szl-forge/tree/main/khipu