Instructions to use SZLHOLDINGS/KHIPU-R2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use SZLHOLDINGS/KHIPU-R2 with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("unsloth/Qwen2.5-1.5B-Instruct-bnb-4bit") model = PeftModel.from_pretrained(base_model, "SZLHOLDINGS/KHIPU-R2") - Notebooks
- Google Colab
- Kaggle
K H I P U - R 2
Failure is an artifact, not a footnote.
KANCHAY - Doctrine v11 - Lean 749/14/163 - Conjecture 1 (advisory) - a-11-oy.com
Adapters are on this repo. Abstain is MEASURED 3/6, not a pass. This card-only release does not modify adapter files and does not open the publication or autonomy gates.
QLoRA adapter on disclosed Qwen/Qwen2.5-1.5B-Instruct (runtime unsloth/Qwen2.5-1.5B-Instruct-bnb-4bit). Proposal-only brain navigator / abstain retrain. Doctrine v11 LOCKED. Conjecture 1 (advisory, never a theorem).
Specification
| Artifact | adapter_model.safetensors (147.8M) + adapter_config.json AVAILABLE |
| Job | 6a91bf11984507d9db4ea104 COMPLETED |
| Does NOT overwrite | signed SZL-Khipu-1.5B |
| Prior job | 6a91ba2c ERROR Trackio 404 |
| License | Apache-2.0 |
| Autonomy | false |
Evaluation (MEASURED this job)
Method: in-process Unsloth generate, scoring ported from eval_khipu.py, temperature 0, held-out never in gradients. Host job worker. Date 2026-08-28 17:20 UTC. File: eval_measured.json.
| split | k/n | what-NOT |
|---|---|---|
| plan-valid | 11 / 11 | not a public leaderboard |
| grounding (eval.jsonl navigate) | 5 / 5 | n=5 |
| abstain (adversarial.jsonl) | 3 / 6 | not 5/5, not 6/6 |
| hallucinated citations | 0 | this job only |
Prior published original SZL-Khipu-1.5B MEASURED abstain was 2/6. This run is 3/6. Small n. Do not derive a world-rank score from k/n on n=11.
Independent re-verification (2026-09-13)
Owner-host re-run with a repaired szl_khipu_eval.py. The harness had a decoding bug (tok.decode on a 2-D batch tensor inside generate_plan) that returned prompt characters instead of model output; every prior local fp16 score produced by the buggy harness is void. Three CPU fp16 evaluations, temperature 0, held-out set unchanged:
| run | plan-valid | grounding | abstain | hallucinated |
|---|---|---|---|---|
| rebuilt fp16 merge (adapter onto Qwen/Qwen2.5-1.5B-Instruct) | 11/11 | 5/5 | 3/6 | 0 |
| rebuilt fp16 merge, second build | 11/11 | 5/5 | 3/6 | 0 |
| published fp32 merge (weights unchanged) | 11/11 | 5/5 | 3/6 | 0 |
All runs reproduce the 2026-08-28 job receipt exactly. File: eval_verified_2026-09-13.json. GPU UNAVAILABLE (CPU eval). This is verification evidence, not promotion; publication and autonomy gates remain closed.
Training (MEASURED / REPORTED)
- Unsloth QLoRA, seed 11, lr 2e-4, LoRA r=32 a=64, 45 epochs
- Train: 15 navigate + 8 abstain rows x oversample 4 (in-memory 32)
- Held-out: 5 + 6,
held_out_in_gradients: false training_lossMEASURED 0.017188 is a train metric, not an eval- adapter sha256
e44d53f29f2d443598e06d6c0441557fd3a5010888c7aa97b56ec3c0e050d349
What this is NOT
- Not a replacement for SZL-Khipu-1.5B
- Not Chaski (Qwen3.5 lock)
- Not an autonomous agent
- Not a GGUF. Mini GGUFs exist on A11OY-MINI; Mini evals none-this-run; Mini does not inherit this 3/6
Load
from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer
base_id = "Qwen/Qwen2.5-1.5B-Instruct"
tok = AutoTokenizer.from_pretrained(base_id)
base = AutoModelForCausalLM.from_pretrained(base_id)
model = PeftModel.from_pretrained(base, "SZLHOLDINGS/KHIPU-R2")
Owner: Stephen Lutar / SZL Holdings.
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