---
thumbnail: https://huggingface.co/SZLHOLDINGS/KHIPU-R2/resolve/main/og-card.png
license: apache-2.0
language:
- en
base_model: Qwen/Qwen2.5-1.5B-Instruct
base_model_relation: adapter
library_name: peft
pipeline_tag: text-generation
tags:
- qlora
- peft
- governed-agent
- proposal-only
- research-only
- szl-holdings
- khipu
- abstain-retrain
szl:
doctrine: v11-LOCKED
lean: "749/14/163"
lambda: "Conjecture 1 - advisory, never a theorem"
artifact_class: ADAPTER
publication_eligible: false
autonomy_eligible: false
never_overwrite: SZLHOLDINGS/SZL-Khipu-1.5B
jobs: COMPLETED
job_id: "6a91bf11984507d9db4ea104"
job_prior_error: "6a91ba2c45686a1580c12020"
weights: AVAILABLE
evals: MEASURED
reverified: "2026-09-13"
gpu: UNAVAILABLE
---
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](https://huggingface.co/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](https://huggingface.co/jobs/SZLHOLDINGS/6a91bf11984507d9db4ea104) **COMPLETED** |
| **Does NOT overwrite** | signed [SZL-Khipu-1.5B](https://huggingface.co/SZLHOLDINGS/SZL-Khipu-1.5B) |
| **Prior job** | [6a91ba2c](https://huggingface.co/jobs/SZLHOLDINGS/6a91ba2c45686a1580c12020) **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_loss` MEASURED 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](https://huggingface.co/SZLHOLDINGS/A11OY-MINI); Mini evals none-this-run; Mini does **not** inherit this 3/6
## Load
```python
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.