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Public Artifacts

Public Artifacts

Public artifacts are first-class factory outputs. They are different from local run files: a public artifact should be understandable outside this repo, have a small committed metadata surface, and list its blockers as clearly as its wins.

Website surface: /artifacts. The website should behave like a built-in blog for artifacts: one index page for scanning, one detail page per artifact, and numbers/blockers/evidence on every page.

Release Rule

Every public artifact entry must include:

  • artifact id and type
  • current status
  • what can be published now
  • measured evidence
  • competitive context
  • blockers
  • next release action

Weights, adapters, and large run outputs do not need to live in git, but the public artifact must explain where they came from, how they were evaluated, and why it is or is not ready to package.

Where an artifact has a compiled Fine-Tune Report Card, that card is the canonical before/after proof surface: it carries the numbers, their measurement states, and the verification blockers. This registry entry stays the release-state record. A report card never changes release policy — the State column below still governs what may be released. Published cards and what the dogfood review found: report-card-cohort.md.

Public artifact storage target: Hugging Face Hub. Use Cloudflare R2 only as an optional private cache or legacy mirror. See docs/factory/huggingface-artifact-storage.md.

Competition rows must be labeled as:

Label Meaning
Direct Same fixture, prompt/eval setup, metric, and scorer.
Directional Useful market or method context, but not the same eval.
Not comparable Public high bar or adjacent system that explains the target lane but cannot be claimed as a win/loss.

Public copy should prefer “we beat X on this exact local gate” only for Direct rows. Everything else is context until the same benchmark is run.

Hugging Face’s public request counter is not an adoption metric. It is not deduplicated into known people and does not prove a full weight download, successful load, or useful run. Case studies may link the public repository but must not turn its request count into a user claim.

Artifact States

State Meaning
release-ready-metadata Small committed metadata exists; large weights may still be external.
release-ready-weights Metadata and model weights are public on the artifact store.
candidate-current-best Best measured candidate, but not yet a shipped specialist package.
report-only Good public write-up/repro artifact, but no model should be used directly.
blocked Needs a named unblocker before public release work continues.
parked Real artifact, but not active in the factory sequence.

Current Public Artifact List

Artifact Type State Public value Next release action
offhours-context-interference Agent-behaviour benchmark report-only Separates unresolved personal context from matched interruptions and raw volume. Devin showed no mental-toll penalty; the first repeatable failure occurred in the neutral arm at 8,000 submitted words/day. Freeze the Devin result and run the unchanged protocol against local Qwen with exact prompt-token and model provenance.
pace-intent-router-v8 From-scratch intent classifier release-ready-weights Shows why sealed distribution gates matter: 95.5% source-matched synthetic accuracy fell to 57.1% on sealed V1, despite 3.8ms mean latency. Keep as the latency floor and generator-overfit case; train only on public failure themes and judge a successor on a new sealed V2.
qwen3-4b-file-ops-distilled Specialist package release-ready-weights Shows a real posttrainllm-built routed specialist: 58% -> 100% on file-ops hard gate, with breadth regression disclosed. Keep routed-only warnings prominent; add a loader/pull smoke when wiring consumers.
qwen3-4b-rest-fused Research specialist package release-ready-weights Teacher-free ReST preserved 100% file-ops depth and recovered breadth to 65% vs stock 59.6%. Keep research-only; run a fresh product-specific gate before any runtime wiring.
qwen3-4b-multibackend-distilled Rejected specialist weights report-only Preserves the failed negative-transfer result: 100% file-ops depth with breadth collapsed to 31%. Keep as a failed comparison artifact; do not promote without a new breadth-preserving recipe.
vibethinker-3b-mlx MLX conversion report-only Makes the upstream VibeThinker-3B reasoning model available as a public Mac-local conversion; historical GSM8K sanity slice was 40/40. Add a pinned loader and conversion-parity receipt only if a real consumer adopts it.
vibethinker-3b-agentic-distilled Unqualified distilled weights blocked Preserves an agentic distillation checkpoint while making the missing before/after eval explicit. Run a frozen baseline/candidate agentic and reasoning-regression gate before any promotion.
hf-specialist-model-archive-v1 Model archive index report-only Links every unique local specialist/conversion artifact moved to Hugging Face, and records which plain upstream caches were deleted. Use as the storage index; promote individual models only after eval/report/package evidence exists.
qwen06-sql-routed-v1 Routed SQL specialist POC report-ready-candidate Shows the factory/router pattern on SQL: public exact 0.531 and synthetic execution 0.860 using separate routed adapters. Publish as report-only; package only after a public execution benchmark gate exists.
factory-run-schema-v1 Process artifact report-only Explains the repeatable target -> data -> post-training -> eval -> package -> report contract. Use the SQL routed rendered run as the canonical example.
browser-playground Demo artifact parked Public proof of the earlier browser/WASM/WebGPU learning track. Keep parked unless it directly presents factory reports or artifacts.

Artifact Details

offhours-context-interference

Status: report-only; experiment decision: semantic-tension-null

OffHours tests whether routine office-work quality changes when unresolved family tension remains in an AI employee’s context. The paired Devin study kept the employee, work claims, event positions, response structure, and semantic payload volume fixed. Clean qualification scored 198/200 decisions (99.0%) with 200/200 valid JSON outputs. Across 20%, 50%, and 80% narrative occupancy, unresolved context did not reduce accuracy relative to matched resolved context.

The separate exact-word ladder found a reproducible operational boundary at 2,000 neutral words per event, or 8,000 submitted words across four workday interruptions. The neutral arm scored 39/40 on both day 2 and its preregistered day-3 adjudication, below the 98% per-day gate. This is evidence of raw-volume or regular Devin context-management cost, not a family-obligation effect.

Public page: /artifacts/offhours-context-interference

Committed evidence:

  • evals/offhours/results/devin-context-saturation-2026-08-21-report.md
  • evals/offhours/results/devin-context-saturation-2026-08-21.json
  • evals/offhours/results/devin-glm52-semantic-occupancy-2026-08-21.html
  • evals/offhours/README.md

Release limitations:

Limitation Why it matters Next action
No semantic mental-toll effect detected The matched unresolved treatments did not degrade work quality. Report the null; do not optimize treatment wording after seeing the result.
Devin raw-model provenance is incomplete The regular workflow did not expose prompt-token counts, quantization, or a model-file hash. Run the frozen protocol on local Qwen with complete provenance.
Saturation appeared in neutral context The repeated boundary cannot be attributed to personal obligation. Treat it as operational context-volume evidence unless a future matched design isolates another mechanism.

pace-intent-router-v8

Status: release-ready-weights; production decision: reject-production-winner

Committed surface:

  • specialists/pace-intent-router-v8/model_card.md
  • specialists/pace-intent-router-v8/eval_report.json
  • specialists/pace-intent-router-v8/tinygpt.lock.json
  • specialists/pace-intent-router-v8/prompt.md
  • specialists/registry.json
  • HF repo: https://huggingface.co/posttrainllm/pace-intent-router-v8

Measured evidence:

Gate Pace v8 Qwen3 4B Apple FM Frontier
Source-matched synthetic holdout 95.5% not run 76.5% on a separate 200-row source-matched slice not run
Sealed V1 exact accuracy 57.1% 93.7% 92.1% 100%
Sealed V1 unknown recall 55.6% 77.8% 77.8% 100%
Mean warm latency 3.8ms 211ms 522ms batch timing not comparable

The 63-instance sealed set was run twice per entry, passed the frontier-ceiling gate, and had zero normalized exact overlap with the recorded training and held-out corpora. The earlier 95.5% result remains valid only for the source-matched generator distribution. It is not the production result.

Release blockers:

Blocker Why it matters Unblock action
Fresh-distribution generalization failed The source-matched score overstated readiness by 38.4 points. Generate public development rows from failure themes, never sealed prompts.
Rejected as production winner Both local generalists exceeded 92% on the same sealed ruler. Require a successor to pass a newly generated sealed V2 before promotion.

qwen3-4b-file-ops-distilled

Status: release-ready-weights

Report card: /report-cards/qwen3-4b-file-ops-distilled.html — outcome routed-ship, not fully verified (historical values; the breadth gate is derived as failing).

Committed surface:

  • specialists/qwen3-4b-file-ops-distilled/model_card.md
  • specialists/qwen3-4b-file-ops-distilled/eval_report.json
  • specialists/qwen3-4b-file-ops-distilled/tinygpt.lock.json
  • specialists/qwen3-4b-file-ops-distilled/prompt.md
  • specialists/registry.json
  • HF repo: https://huggingface.co/posttrainllm/qwen3-4b-file-ops-distilled
  • HF staging command: python3 scripts/plan_hf_artifact_upload.py specialists/qwen3-4b-file-ops-distilled --repo-id posttrainllm/qwen3-4b-file-ops-distilled

Measured evidence:

Gate Stock Specialist
File-ops hard gate 0.58 1.00
File-ops hardgen heldout - 0.95
Out-of-domain breadth 0.596 0.423

Release blockers:

Blocker Why it matters Unblock action
Breadth regression is real The model is unsafe as a general planner. Keep routed-only positioning in all public copy.
Frontier/breadth caveat remains The breadth suite is directly comparable but not fully frontier-validated. Keep caveat in model card; do not oversell as general capability.

qwen3-4b-rest-fused

Status: release-ready-weights

Report card: /report-cards/qwen3-4b-rest-fused.html — outcome routed-ship, not fully verified (historical values; latency, RAM, throughput, and timing are reported as not recorded).

Committed surface:

  • specialists/qwen3-4b-rest-fused/model_card.md
  • specialists/qwen3-4b-rest-fused/eval_report.json
  • specialists/qwen3-4b-rest-fused/tinygpt.lock.json
  • specialists/qwen3-4b-rest-fused/prompt.md
  • specialists/registry.json
  • HF repo: https://huggingface.co/posttrainllm/qwen3-4b-rest-fused

Recorded evidence:

Gate Stock ReST candidate
File-ops hard gate 0.58 1.00
Out-of-domain breadth 0.596 0.65

Release decision: ship as a Mac-local research specialist package. Do not make it the Pace default planner: Pace has a different intent envelope and ship gate. The historical run did not preserve latency, RAM, tok/s, training time, or raw predictions; the package reports those fields as unavailable rather than estimating them.

qwen3-4b-multibackend-distilled

Status: report-only; model decision: reject

HF repo: https://huggingface.co/posttrainllm/qwen3-4b-multibackend-distilled

Recorded evidence:

Attempt File-ops depth Out-of-domain breadth Decision
Stock Qwen3-4B 58% 59.6% baseline
File-ops distillation 100% 42.3% route only
Multibackend distillation 100% 31% reject
Teacher-free ReST 100% 65% research-only routed ship

This is a negative-transfer case study. The additional multibackend teacher data did not broaden the model; breadth fell another 11.3 points below the already narrow file-ops distillation and 28.6 points below stock. The historical result is exact in the attempt ledger, but raw predictions and a package-level eval_report.json were not committed. Preserve the weights as failed evidence; do not promote them.

vibethinker-3b-mlx

Status: report-only; artifact decision: conversion-only

HF repo: https://huggingface.co/posttrainllm/vibethinker-3b-mlx

This is an MLX conversion of WeiboAI/VibeThinker-3B, not a model trained by PostTrainLLM. A historical local GSM8K sanity screen scored 40/40, confirming a useful reasoning signal on that small slice. No controlled upstream-vs-MLX parity report was preserved, and the model has no validated native tool-calling behavior. The case study therefore claims public Mac-local packaging, not a quality improvement.

Release blockers:

Blocker Why it matters Unblock action
Conversion parity not recorded A 40-row sanity screen is not a numerical or broad benchmark parity proof. Run paired upstream-vs-MLX checks only if a consumer adopts this artifact.
No native tool-calling gate Reasoning strength does not make it a drop-in agent. Treat it as a reasoning/runtime artifact until an adapted candidate clears an agentic gate.

vibethinker-3b-agentic-distilled

Status: blocked; model decision: inconclusive

HF repo: https://huggingface.co/posttrainllm/vibethinker-3b-agentic-distilled

The intended experiment was to distill agentic behavior into a reasoning-strong 3B base. The fused weights are public, but the repository does not preserve a current matched baseline, candidate eval, reasoning/breadth regression result, or ship decision. Public weights establish artifact existence, not success.

Release blockers:

Blocker Why it matters Unblock action
Before/after agentic eval missing There is no defensible tool-calling delta. Freeze and run the same baseline/candidate gate before any new training.
Reasoning retention missing Agentic adaptation may have damaged the base’s reason for being. Add a reasoning/breadth regression gate to the same evaluation.
No routing/package decision There is no recorded safe-use envelope. Package only after the frozen eval produces a ship, route, or reject decision.

hf-specialist-model-archive-v1

Status: report-only

Purpose: public storage index for model artifacts that were previously only durable because they existed in the local Mac cache. Hugging Face is now the public artifact store for unique posttrainllm weights and conversions; plain upstream base-model caches should be deleted locally instead of re-uploaded under posttrainllm.

Uploaded posttrainllm artifacts:

Local cache HF repo Status Evidence / readout
pace-intent-router-v8 https://huggingface.co/posttrainllm/pace-intent-router-v8 Public weights / rejected production winner 57.1% sealed V1 accuracy at 3.8ms mean; the earlier 95.5% source-matched result did not generalize.
mt4b_fused https://huggingface.co/posttrainllm/qwen3-4b-file-ops-distilled Release-ready specialist File-ops hard gate 58% -> 100%; breadth regression disclosed.
mt4b_rest_fused https://huggingface.co/posttrainllm/qwen3-4b-rest-fused Release-ready research specialist ReST breadth recovery variant: depth 100%, breadth 65% vs stock breadth 59.6%; missing historical performance evidence disclosed.
mt4b_mb_fused https://huggingface.co/posttrainllm/qwen3-4b-multibackend-distilled Archive / failed attempt Negative-transfer artifact: depth 100%, breadth 31%.
vibethinker-3b-mlx https://huggingface.co/posttrainllm/vibethinker-3b-mlx Archive / conversion Local MLX conversion of WeiboAI/VibeThinker-3B.
vibe_distill_fused https://huggingface.co/posttrainllm/vibethinker-3b-agentic-distilled Archive / needs eval promotion posttrainllm distilled VibeThinker variant; do not treat as a shipped specialist until a current eval report exists.

Deleted upstream caches:

Local cache Upstream repo Reason
mxbai-embed-large-v1 https://huggingface.co/mixedbread-ai/mxbai-embed-large-v1 Public upstream model; no posttrainllm delta.
qwen3-embedding-0.6b https://huggingface.co/Qwen/Qwen3-Embedding-0.6B Public upstream model; no posttrainllm delta.
qwen3-vl-2b-instruct https://huggingface.co/Qwen/Qwen3-VL-2B-Instruct Public upstream model; no posttrainllm delta.

Release blockers:

Blocker Why it matters Unblock action
Archive entries are not ship decisions Public weights can be useful evidence without being selected for Pace or any product lane. Promote only candidates with a current factory run, eval report, package metadata, and routed-use decision.
VibeThinker distilled eval needs promotion The weights are preserved, but the public artifact should not imply a measured win yet. Run the factory eval gate and publish a before/after report before using it as a specialist package.

qwen06-sql-routed-v1

Status: report-ready-candidate

Report card: /report-cards/qwen06-sql-routed-v1.html — outcome report-only (retry-eval), measured baseline/candidate with three open blockers.

Current artifact shape:

  • Public adapter: runs/2026-07-02-sql-public-bmc2/qwen06-public-bmc2-v4-joinweighted.lora
  • Synthetic adapter: runs/2026-07-02-sql-expanded-qwen06/qwen06-sql-expanded.lora
  • Router: scripts/run_sql_routed_generate.py
  • Router smoke: evals/sql-routed-router-smoke.sh
  • Eval fixture: evals/sql-routed-mixed-v1/
  • Report: docs/specialists/b1-sql-poc.md
  • Canonical run renderer: scripts/render_sql_factory_run.py
  • Run smoke: evals/sql-factory-run-smoke.sh
  • Public execution gate builder: scripts/build_sql_spider_execution_gate.py
  • Public execution gate smoke: evals/sql-spider-execution-smoke.sh

Measured evidence:

Gate Result
Public b-mc2 exact, 64 rows 0.531
T5-small public baseline, same 64 rows 0.484
Synthetic SQLite execution, 50 rows 0.860
Synthetic SQLite exact, 50 rows 0.840
Label-free router smoke 64 public / 50 synthetic, all high-confidence

Competitive context:

System Metric Score Comparable? Readout
posttrainllm routed SQL v1 b-mc2 exact / synthetic exec 0.531 / 0.860 Direct Current local candidate.
T5-small local baseline b-mc2 exact 0.484 Direct Same 64-row public slice; posttrainllm is +4.7 points.
Defog SQLCoder-7B-2 Defog SQL-Eval category scores 77.1-96% Directional Strong public SQL specialist, but different benchmark and 7B size class.
Arctic-Text2SQL-R1-7B BIRD execution accuracy 68.47% Not comparable Public execution target class; posttrainllm needs BIRD/Spider execution before competing here.
Arctic-Text2SQL-R1-14B / 32B BIRD execution accuracy 70.04% / 71.83% Not comparable Current public high bar is execution accuracy, not exact string match.

External source notes:

  • cssupport/t5-small-awesome-text-to-sql is the direct local baseline model; the 0.484 score is our local rerun on the same 64-row b-mc2 slice.
  • Defog SQLCoder-7B-2 reports category-level Defog SQL-Eval scores, not one aggregate score.
  • Arctic-Text2SQL-R1 reports BIRD execution accuracy; use it as the public execution target lane, not as a direct comparison.
  • BFCL-V4 market rows on the website use the LLM Stats July 2026 snapshot only as directional context because that page marks the rows as self-reported and unverified. The official BFCL page remains the methodology/source-of-truth benchmark reference.

Rejected alternatives:

Attempt Public exact Synthetic execution Decision
Single public v4 adapter 0.531 0.240 route required
Blended SFT v1 0.297 0.560 reject
Best static LoRA composition tested 0.516 0.460 reject
BIRD+b-mc2 v5 0.438 0.280 reject

Release blockers:

Blocker Why it matters Unblock action
Public execution benchmark missing b-mc2 exact match is useful but not enough for a serious SQL model claim. Add BIRD Mini-Dev SQLite or Spider SQLite execution gate once DBs are local.
Not packaged under specialists/ Current adapter paths are local runs/ outputs, not package metadata. Create a package only after decision.json is ship; until then publish as report-only/candidate.
Output hygiene is weak Scorers extract the first SELECT; many completions still include prose after the query. Clean-SQL metric exists (scripts/score_sql_clean_output.py); first hygiene candidate (ref-free SimPO) collapsed and was decided retry-training (runs/2026-07-03-sql-hygiene-dpo-qwen06/). Retry with reference-anchored DPO.
Performance numbers missing Public artifact should report latency, RAM, tok/s, and eval time. Run scripts/measure_sql_routed_perf.py on the routed setup (offline smoke: evals/sql-perf-smoke.sh) and paste the report.
Data provenance needs public copy b-mc2 and BIRD-derived rows have different licenses/provenance surfaces. Add dataset license/provenance notes to the public report.

Next release action:

Publish qwen06-sql-routed-v1 as a public report artifact, not a shipped specialist package. The report should say: targeted 0.6B SQL adapter beats a small T5 baseline on the frozen public exact slice, but the robust artifact is a router over two specialists, and public execution benchmarking is the next gate.

Canonical local render:

python3 scripts/render_sql_factory_run.py --out runs/2026-07-02-sql-routed-qwen06-v1

Spider execution gate once a local Spider bundle exists:

python3 scripts/build_sql_spider_execution_gate.py \
  --spider-root /path/to/spider \
  --out evals/sql-spider-execution

Website page: /artifacts/qwen06-sql-routed-v1

Release Priority

  1. qwen06-sql-routed-v1 report artifact: best current story for the factory thesis because it includes failed attempts, routing, blockers, and measured improvement.
  2. qwen3-4b-file-ops-distilled weights artifact: strongest model win, but weight distribution and routed-only caveats must be handled carefully.
  3. hf-specialist-model-archive-v1: keep public links to preserved weights and failed variants without over-promoting them as product models.
  4. factory-run-schema-v1: publish as process proof using the SQL routed rendered run as the canonical example.
  5. browser-playground: leave parked unless it becomes a report browser.

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