--- 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 gpu: UNAVAILABLE --- # KHIPU-R2

KHIPU-R2

`KANCHAY` · Doctrine v11 · Lean `749/14/163` · Λ = Conjecture 1 (advisory) · [a-11-oy.com](https://a-11-oy.com) Adapters are on this repo. Abstain is MEASURED 3/6, not a pass. Not publication-eligible. 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. Λ = Conjecture 1 (advisory, never a theorem). ## The cut Leaders ship v1 and changelog the rest. We name the retraining of silence as its own model. Failure is an artifact, not a footnote. A public retrain whose only job is to improve one metric: honest abstain under adversarial handles. ### Silhouette → leave → SZL | Leader | Take, then tweak | |---|---| | Anthropic | Red-team → constitution update. We red-team → adapter. | | NVIDIA | Recipe re-run with a new seed and a signed delta. | | Unsloth | Same FastLanguageModel loop, new curriculum, new receipt. | Nobody else ships this combination. That is the point of a one-of-one. ## Intended use Continue the abstain-retrain loop. Fail closed until the receipt lands. ## Limitations - research-only - No signed R2 eval receipt in this atelier. Canonical GitHub: [`szl-holdings/szl-forge`](https://github.com/szl-holdings/szl-forge/blob/main/khipu/) | | | |---|---| | **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 | | **Lab** | Forbidden. Pin stays Khipu GGUF. GPU **UNAVAILABLE**. | | **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. ## Training (MEASURED / REPORTED) - Unsloth QLoRA, seed 11, lr 2e-4, LoRA r=32 α=64, 45 epochs - Train: 15 navigate + 8 abstain rows × 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.