Artifact identity (noted 2026-09-30). Besides the LoRA adapter, this repository's root carries a merged full-precision checkpoint (model.safetensors + config.json, loadable with transformers) produced by the receipted CPU merge of this adapter into its declared base (merge_receipt.json). The adapter remains the artifact of record for every figure on this card; the merged bytes carry no separate held-out receipt and add no claim. Metadata-only note.
NON-RELEASE PLACEHOLDER · SEPARATE SKU · NOT PROMOTABLE
Published research bytes are present. publication_eligible=false and
autonomy_eligible=false; this is not a ReceiptAgent tournament winner.
Do not treat this ID as flagship.
R E C E I P T A G E N T v3
Proposal-only receipt drafts. The stamp that never mints.
SZLHOLDINGS/szl-receiptagent-qwen35-0.8b-v3
This is a separate research bf16 LoRA adapter (r=16, alpha=32) on
Qwen/Qwen3.5-0.8B, trained with Unsloth on a laptop Blackwell GPU, with a derived merged artifact also present in the repository.
"Placeholder" describes release status, not absence of weights. It does not
overwrite ReceiptAgent v2
or SZL-Forge-1.5B-ReceiptAgent.
| Claim |
Status |
| Train loss 0.0537 |
MEASURED (train metric, not eval) — training_receipt.laptop-blackwell.json |
| Training rows |
180 (committed v3 train.jsonl) |
| Dataset SHA-256 |
ad30ce9b478eff50d78064f387143b750be3f746b459f98f7961784b9ce1081f (receipt-stated) |
| Adapter SHA-256 |
339efa6ea0ed0719db0dede26ee836f290048deb1b6ce68403ab07cb255b28d0 (receipt-stated for the local adapter at training time; binding to the public adapter_model.safetensors bytes UNVERIFIED — see below) |
| Historical development check (2026-08-29) |
DEV n=12 MEASURED 11/12 (4/4 draft · 3/4 recovery · 4/4 refuse); one recovery output did not parse; test.jsonl never opened. |
| Additive adapter-bound development check (2026-09-29) |
DEV n=12 MEASURED 12/12 (4/4 draft · 4/4 recovery · 4/4 refuse); separate owner-run record, base model UNRECORDED, promotion_effect=NONE, not a release gate. |
| QLoRA |
forbidden on Qwen3.5; this SKU is bf16 LoRA (load_in_4bit=false) |
| Rosie WSL 4-bit supervised launch |
not this card |
| publication_eligible |
false |
| autonomy_eligible |
false |
| Λ uniqueness |
Conjecture 1, never a theorem |
Hub tree (OBSERVED 2026-09-25)
| Path |
Bytes |
Role |
adapter_model.safetensors (LFS) / adapter_config.json |
25,587,104 / 1,511 |
LoRA adapter (base_model_name_or_path: Qwen/Qwen3.5-0.8B, r=16, alpha=32, task_type: CAUSAL_LM) |
model.safetensors (LFS) + config.json + generation_config.json |
3,009,613,624 / 1,864 / 122 |
derived merged artifact (see merge receipt) |
tokenizer.json (LFS) / tokenizer_config.json / chat_template.jinja / processor_config.json |
19,989,343 / 1,230 / 7,908 / 1,251 |
tokenizer, chat template, processor config |
training_receipt.laptop-blackwell.json |
1,733 |
training receipt (unsigned) |
eval_dev_named_n.json |
5,441 |
development named-N receipt (12 cases, per-case outcomes) |
frontier_gpu_summary.json |
463 |
GPU summary (ra_v3: 11/12 MEASURED) |
merge_receipt.json |
583 |
2026-09-14 manual merge repair receipt |
provenance.json / status.json / LICENSE |
1,766 / 1,405 / 11,357 |
license-candidate records and standalone Apache-2.0 text |
bom/model-bom.cdx.json |
5,039 |
CycloneDX BOM |
.gitattributes |
1,570 |
platform-managed |
Sizes were read from the Hub listing; no weight file was downloaded or hashed by this pass, and the revision SHA was not captured. The Hub-hosted banner referenced by the szl-forge card (holo-banner.svg) is not on this tree, so it is not embedded here.
Artifact identity and evidence
The training receipt records
180 training rows and train loss 0.0537. Training loss is not evaluation.
The receipt describes the local laptop Blackwell bf16 run, not the Rosie
supervised 4-bit lane; load_in_4bit=false. Recipe as recorded: bf16 LoRA r=16 α=32, seed 11, 3 epochs, warmup 10, learning rate 1e-4, held_out_in_gradients=false, push_to_hub=false; hardware NVIDIA GeForce RTX 5050 Laptop GPU (7.96 GB), torch 2.10.0+cu128, Unsloth 2026.7.2, Windows.
The published development evaluation records:
| Scope |
Recorded result |
| Split and count |
DEV, n=12 |
| Total |
11/12 |
| Draft |
4/4 |
| Recovery |
3/4, one unparseable output |
| Refuse |
4/4 |
| Test split opened |
opened_test_jsonl=false |
The historical 11/12 failure remains part of the evidence. A separate additive
2026-09-29 owner-run DEV check reports 12/12 on adapter SHA-256
90b82ade0b2c84eca92e90cdeb56137d61d7da4b4863ff4d29fa75e9dc037870. It explicitly does not supersede the older record,
records base_model=UNRECORDED and promotion_effect=NONE, and is not a
held-out test, independent benchmark, release gate, or evaluation of the
derived merged checkpoint. Neither check establishes complete reproducible
inference lineage or deployment readiness.
The merge receipt records the 2026-09-14 repair of
an empty base-copy merge (an audit found all 320 tensors byte-equal to the unsloth/Qwen3.5-0.8B text tower), applying the root adapter to 96/96 modules with maximum
weight delta 0.0037259478121995926 (W' = W + (alpha/r)·B@A, scale 2.0). This repair is artifact construction evidence,
not a fresh behavioral evaluation. No hash of the repaired model.safetensors is recorded in that receipt: the merged bytes are PRESENT_UNRECEIPTED by digest.
Artifact truth card
| Field |
Classification |
| Artifact |
Trained LoRA adapter weights for Qwen/Qwen3.5-0.8B, not a from-scratch model; plus a derived merged full model rebuilt 2026-09-14. |
| Value |
Proposal-only receipt drafts. Validation, approval, execution, and minting stay outside the weights. |
| Evidence |
Train loss MEASURED on the 180-row committed split. Separate owner-run DEV n=12 checks: historical 11/12 and additive adapter-bound 12/12; neither held-out nor a merged-checkpoint qualification. |
| Limits |
Small synthetic curriculum. No broad capability, factuality, safety, or third-party benchmark claim. |
| Runtime |
Drafts only. Not an autonomous agent. |
Load
Untested in this card pass. Adapter path (the declared artifact):
from peft import PeftModel
from transformers import AutoModelForCausalLM, AutoTokenizer
base_id = "Qwen/Qwen3.5-0.8B"
tok = AutoTokenizer.from_pretrained(base_id)
base = AutoModelForCausalLM.from_pretrained(base_id)
model = PeftModel.from_pretrained(base, "SZLHOLDINGS/szl-receiptagent-qwen35-0.8b-v3")
The root also contains config.json and the merged model.safetensors; callers must verify which path their library selects rather than relying on loader precedence.
Release, deployment, and authority boundary
Proposal-only drafts. Validation, approval, execution, and receipt minting stay
outside the weights. No autonomy, deployment, promotion, or flagship selection
is authorized. The published status record retains
blocked lineage, consent, privacy, training-suitability, and deployment fields;
its publication status concerns its license-candidate record, not model promotion.
Lambda uniqueness remains Conjecture 1, advisory and open, never a theorem.
Source of truth and relationships
Use the linked immutable Hub receipts at fe7564886100316d0843d147abd38da39beb3a4f and the canonical
v3 source directory (pinned revision; current main; card source: receiptagent-v3/card/README.md; GitHub is canonical, this Hub card is the mirror, re-synced 2026-09-25 with the historical 11/12 receipt retained; current Forge source distinguishes it from the separate additive adapter-bound 12/12 DEV record).
The v2 adapter, this v3 research SKU, the derived merged bytes, and the 1.5B
ReceiptAgent remain separate artifacts with separate evidence scopes.
Apache-2.0. Copyright 2026 SZL Holdings · Stephen P. Lutar Jr.
