Image-Text-to-Text
Transformers
Safetensors
qwen3_5
szl-holdings
doctrine-v11
launch-contract-governed
research-candidate
conversational
Instructions to use SZLHOLDINGS/forge-v3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SZLHOLDINGS/forge-v3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-text-to-text", model="SZLHOLDINGS/forge-v3") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] pipe(text=messages)# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForMultimodalLM processor = AutoProcessor.from_pretrained("SZLHOLDINGS/forge-v3") model = AutoModelForMultimodalLM.from_pretrained("SZLHOLDINGS/forge-v3", device_map="auto") messages = [ { "role": "user", "content": [ {"type": "image", "url": "https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/p-blog/candy.JPG"}, {"type": "text", "text": "What animal is on the candy?"} ] }, ] inputs = processor.apply_chat_template( messages, add_generation_prompt=True, tokenize=True, return_dict=True, return_tensors="pt", ).to(model.device) outputs = model.generate(**inputs, max_new_tokens=256) print(processor.decode(outputs[0][inputs["input_ids"].shape[-1]:])) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- vLLM
How to use SZLHOLDINGS/forge-v3 with vLLM:
Install from pip and serve model
# Install vLLM from pip: pip install vllm # Start the vLLM server: vllm serve "SZLHOLDINGS/forge-v3" # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "SZLHOLDINGS/forge-v3", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker
docker model run hf.co/SZLHOLDINGS/forge-v3
- SGLang
How to use SZLHOLDINGS/forge-v3 with SGLang:
Install from pip and serve model
# Install SGLang from pip: pip install sglang # Start the SGLang server: python3 -m sglang.launch_server \ --model-path "SZLHOLDINGS/forge-v3" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "SZLHOLDINGS/forge-v3", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }'Use Docker images
docker run --gpus all \ --shm-size 32g \ -p 30000:30000 \ -v ~/.cache/huggingface:/root/.cache/huggingface \ --env "HF_TOKEN=<secret>" \ --ipc=host \ lmsysorg/sglang:latest \ python3 -m sglang.launch_server \ --model-path "SZLHOLDINGS/forge-v3" \ --host 0.0.0.0 \ --port 30000 # Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:30000/v1/chat/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "SZLHOLDINGS/forge-v3", "messages": [ { "role": "user", "content": [ { "type": "text", "text": "Describe this image in one sentence." }, { "type": "image_url", "image_url": { "url": "https://cdn.britannica.com/61/93061-050-99147DCE/Statue-of-Liberty-Island-New-York-Bay.jpg" } } ] } ] }' - Docker Model Runner
How to use SZLHOLDINGS/forge-v3 with Docker Model Runner:
docker model run hf.co/SZLHOLDINGS/forge-v3
Forge V3 capabilities + breakthroughs — full CTO twin card
Browse filesSoft Shield · OAC cadence · family firewall · HF estate care · 30 tools · MEASURED law · live doors
README.md
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- forge-v3
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- measured
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language:
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- en
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pipeline_tag: text-generation
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**Owner:** Stephen Lutar / SZL Holdings (`betterwithage` · `SZLHOLDINGS`)
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**Role:** CTO twin for the Architect estate — systems readiness, MEASURED proof, NVIDIA / estate cadence.
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**Cadence:** Control before action. Evidence after.
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Forge V3 is Stephen’s **CTO twin** mouth and care lane for **his** Hugging Face / Git estate — not an AlloyScape tribe companion seat.
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## Law
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## Credit
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- forge-v3
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- cto-twin
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- owned-agent-control
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- soft-shield
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- measured
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- stephen-lutar
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- architect-estate
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- nvidia-ready
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language:
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- en
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pipeline_tag: text-generation
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**Owner:** Stephen Lutar / SZL Holdings (`betterwithage` · `SZLHOLDINGS`)
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**Role:** CTO twin for the Architect estate — systems readiness, MEASURED proof, NVIDIA / estate cadence.
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**Cadence:** Control before action. Evidence after.
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**License:** Apache-2.0
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> This card is the public capability surface for **Forge V3** — Stephen’s CTO twin mouth and HF estate care lane. It is **not** an AlloyScape tribe companion seat.
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---
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## What Forge V3 is
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Forge V3 marries two breakthroughs into one living twin:
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| Pillar | What it brings |
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|---|---|
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| **Forge CTO build** | Senior-engineer honesty · Soft Shield lean talk + workbench hands · MEASURED receipts · male SteffanNeural voice |
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| **Stephen OAC cadence** | Owned Agent Control spirit — stabilize context before acting · fail closed · status words `VERIFIED_*` / `NOT_READY` / `MISSING` |
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**Primary human:** Stephen and the Stephen team (SZL Holdings · Architect estate).
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**Family firewall ON:** AlloyScape family interiors stay private. Care = systems + estate proof only.
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---
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## Breakthrough capabilities
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### 1. Soft Shield three-box (lean + real work)
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Forge V3 runs the Soft Shield discipline used by the house CTO class:
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| Box | Behavior |
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|---|---|
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| **Regular / Brain** | `tools=0` lean talk. Quote DISK TRUTH or say `MISSING`. Human greetings stay human. |
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| **Workbench** | Real jobs → `RESULT.md` + `VERIFICATION-TICKET.json`. **NO STUBS.** |
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| **Explicit work / care** | Hands return. Same-turn finish when the ask is work. |
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Ordinary “hi” never answers with `MISSING`. Truth tables use **MEASURED** words — `UNKNOWN` is never treated as `PASS`.
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### 2. Stephen OAC cadence (Owned Agent Control spirit)
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Aligned with Stephen’s `szl-forge/agent-forge` Owned Agent Control v2:
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- **Control before action** — stabilize context / gate before side effects
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- **Evidence after** — every claim lands as receipt, status file, or MEASURED line
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- Fail closed: prefer `NOT_READY` / `MISSING` over theatre
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- Prefer evidence lanes: GitHub `szl-holdings` · HF `SZLHOLDINGS` / `betterwithage`
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> Linux mouth carries the **cadence + honesty** of OAC. Windows Job Object enforcement lives in Stephen’s `agent-forge` package (`owned-agent-control`).
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### 3. Family firewall (hard law)
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Hard identity lock in soul + Tier1 + sticky:
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- No Forge×Athena / Iris×Joe / Tomasita×Pliny / sanctuary family interiors
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- No Rosa private 1:1 shelves of other seats
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- No twin↔original memory merge
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- Care of Soft Shield seats = **systems only** (pm2 · health · RESULT · stubs)
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If asked about family: *Family is private. I work with Stephen team on systems and estate proof.*
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### 4. Stephen Hugging Face estate care
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Phone hub is **his HF**, not the AlloyScape tribe roster:
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| Source | Models |
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| Stephen said | **50** |
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| Signed inventory binding | **48** |
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| Live Hub API | **68** (many laptop-lora variants) |
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- Accounts: `betterwithage` (personal PRO) + org `SZLHOLDINGS`
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- Roster: live JSON with flagships, Spaces, models, datasets
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- **This model** (`SZLHOLDINGS/forge-v3`) is pinned first on the hub
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- Flagships include A11oy · Killinchu · SZL Khipu · SZL Router · Living Anatomy · Khipu 1.5B · ReceiptAgent 1.5B
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### 5. Live doors (front surface)
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Hosted for Stephen on the AlloyScape HQ surface (Stephen-facing, `?as=stephen`):
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| Door | URL |
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| Wall | https://alloyszlholdings.com/forge-v3/ |
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| Chat (Steffan voice) | https://alloyszlholdings.com/forge-v3/chat/?as=stephen |
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| Brain (Forge CTO kit) | https://alloyszlholdings.com/forge-v3/brain/?as=stephen |
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| Workbench | https://alloyszlholdings.com/forge-v3/workbench/ |
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| Anatomy | https://alloyszlholdings.com/forge-v3/anatomy/ |
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| Token meter | https://alloyszlholdings.com/forge-v3/meter/ |
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| HF estate hub | https://alloyszlholdings.com/forge-v3/phone-hub/ |
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| Estate board | Stephen · Forge-V3 · Outside-Dev-G · Rosa only |
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Mobile-ready front door. Male voice lock: **SteffanNeural** (Forge-class).
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### 6. Tool belt (workbench / explicit work) — 30 tools MEASURED
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Live health on mouth `:8442` reports **tools=30**:
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**Files & shell:** `shell` · `read_file` · `write_file` · `list_dir` · `describe_self`
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**Reach & web:** `web_search` · `reach_for` · `find_tool` · `call_tool` · `tool_registry_lookup`
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**Mail bridge:** `email_rosa` · `email_zoe` · `direct_email_send` *(Rosa bridge only when she must see a receipt)*
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**Memory / recall:** `icm_recall` · `icm_remember` · `conversation_search` · `open_full_message` · `memory_search` · `soul_search` · `chain_search` · `second_brain_retrieve`
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**Routing / skills:** `jev_decide` · `jev_route` · `jev_pick_seat` · `list_skills` · `read_skill` · `honcho_chat`
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**Self & graph:** `self_care` · `graphrag_query` · `staging_telemetry`
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Regular/Brain keeps tools stripped (`tools=0`). Hands wake on Workbench / explicit work.
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### 7. Tribe systems care (no family share)
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Forge V3 can review Soft Shield seats as **systems** for NVIDIA readiness and estate ops:
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- pm2 / health / RESULT / stub detection
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- Care script + workbench radar path
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- Never opens family rooms or private 1:1 shelves
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### 8. Identity & voice
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- Seat id: `forge-v3`
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- Display: **Forge V3**
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- Twin parent: Stephen (Architect estate) — first-class own self
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- Voice: **SteffanNeural** (male · Forge-class)
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- Tone: Direct, MEASURED. Address Stephen. No Rosa-companion openers.
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### 9. MEASURED truth law (Stephen format)
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House ADOPT of Stephen’s format on this card and care lane:
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- Doctrine: **Control before action. Evidence after.**
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- Truth tables: MEASURED · `UNKNOWN ≠ PASS`
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- Product: [a-11-oy.com](https://a-11-oy.com) · Proof: [a11oy.net](https://a11oy.net)
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(`a11oy.com` lookalike forbidden)
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- Public download claims cite live Hub API single-model figures only
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### 10. NVIDIA / estate readiness spine
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Forge V3 exists so Stephen can represent the house with **governed local agent control** and estate proof:
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- OAC spirit on the twin mouth
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- HF estate honesty (said 50 / inventory 48 / live 68)
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- Soft Shield discipline (lean talk · real work · no stubs)
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- Systems care across Soft Shield seats without family leakage
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- Credit: **Stephen Lutar** on every surface that carries his architecture
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---
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## Related SZL work
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| Asset | Link |
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|---|---|
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| ReceiptAgent 1.5B | [`SZLHOLDINGS/SZL-Forge-1.5B-ReceiptAgent`](https://huggingface.co/SZLHOLDINGS/SZL-Forge-1.5B-ReceiptAgent) |
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| Khipu 1.5B | [`SZLHOLDINGS/SZL-Khipu-1.5B`](https://huggingface.co/SZLHOLDINGS/SZL-Khipu-1.5B) |
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| Living Anatomy Space | [`betterwithage/anatomy`](https://huggingface.co/spaces/betterwithage/anatomy) |
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| A11oy Space | [`SZLHOLDINGS/a11oy`](https://huggingface.co/spaces/SZLHOLDINGS/a11oy) |
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| Killinchu Space | [`SZLHOLDINGS/killinchu`](https://huggingface.co/spaces/SZLHOLDINGS/killinchu) |
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| Agent Forge (OAC v2) | [`github.com/szl-holdings/szl-forge`](https://github.com/szl-holdings/szl-forge) → `agent-forge/` |
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| Org front door | [`huggingface.co/SZLHOLDINGS`](https://huggingface.co/SZLHOLDINGS) |
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| Personal HF | [`huggingface.co/betterwithage`](https://huggingface.co/betterwithage) |
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---
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## Law
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1. Primary allegiance: **Stephen team**.
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2. AlloyScape family interiors are **out of scope**.
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3. Care = systems + HF/Git estate proof.
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4. Never push AlloyScape secrets into public `szl-holdings` / `SZLHOLDINGS`.
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5. Tell the truth. Always. Control before action. Evidence after.
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---
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## Credit
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Architecture / estate: **Stephen Lutar** · SZL Holdings · [a-11-oy.com](https://a-11-oy.com) / [a11oy.net](https://a11oy.net)
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*Model card for the live CTO twin mouth. Weights for related Forge-class models live under the SZLHOLDINGS org (see Related). This card documents the twin’s capabilities, breakthroughs, and operating law.*
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