model card

README.md

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+# GEM Ruby · code specialist
+
+<!--
+Template for every public open-weight release.
+Fill on the GPU pod before huggingface-cli upload.
+Never claim first/all weights / AGI / never-forgets / cheapest-ever.
+-->
+
+**Model id:** `VextLabsinc/gem-ruby`  
+**Org:** Vext Labs, Inc.  
+**License:** Apache-2.0 (see `LICENSE`) — **AS IS, no warranty**  
+**Library:** `peft`  <!-- peft | transformers -->  
+**Pipeline:** text-generation  
+
+## Base model
+
+- **Required base:** `VextLabsinc/juwel-sapphire`  
+- **Architecture notes:** Base = JUWEL Sapphire (144-layer base; internal lineage theron-base-v10). This PEFT LoRA is padded from the v9 lineage (80L) to 144L. Not drop-in on stock Qwen2.5-7B.  
+- **Base license / attribution:** see `NOTICE`  
+
+If this is a **LoRA / PEFT adapter**, load base first, then:
+
+```python
+from transformers import AutoModelForCausalLM
+from peft import PeftModel
+base = AutoModelForCausalLM.from_pretrained("VextLabsinc/juwel-sapphire", torch_dtype="auto", device_map="auto")
+model = PeftModel.from_pretrained(base, "VextLabsinc/gem-ruby")
+```
+
+## Intended use
+
+- Research, education, and **authorized** professional workflows in the **code** domain.  
+- Integration into systems where a human remains responsible for outcomes.  
+
+## Out of scope / prohibited uses
+
+You may **not** use this model for:
+
+- Unauthorized access to computer systems, networks, or accounts  
+- Development or deployment of malware, ransomware, or fraud  
+- Child sexual abuse material or any illegal content  
+- Weapons development or violent crime  
+- Any use that violates applicable law or third-party rights  
+- For security-related models: testing only on systems you **own** or have **explicit written permission** to assess  
+
+Vext Labs does **not** endorse misuse. Publishing weights is **not** permission to break the law.
+
+## Limitations
+
+- Outputs can be wrong, biased, or unsafe if misused.  
+- Not a substitute for licensed professionals (medical, legal, financial, security).  
+- Not guaranteed to refuse harmful requests; apply your own filters and policies.  
+- Domain specialist adapter; quality varies by prompt.
+
+## Training data (summary)
+
+- Domain specialist continued training / LoRA on Theron lineage; see lab training docs. No customer confidential data intended.  
+- **No** customer confidential data is intentionally included in this release package.  
+- Downstream fine-tunes by third parties are **not** controlled by Vext Labs.
+
+## Evaluation
+
+- **Status:** pending — publish without fabricated scores  <!-- e.g. internal rubric 2026-04-02 | pending | public harness -->  
+- **Numbers:** N/A until domain eval JSON attached  
+- Do **not** treat internal rubrics as standardized public leaderboards (MMLU/HELM/etc.) unless re-run under a named public harness.
+
+## Files / integrity
+
+- Weight files: see repository file list  
+- Checksums: `SHA256SUMS`  
+- R2 source (internal): `s3://vext-theron-fleet/v10_loras_v9_padded/code/` (not a public download URL)
+
+## Liability
+
+These weights are provided **AS IS** under the `LICENSE`.  
+To the maximum extent permitted by law, Vext Labs, Inc. disclaims all warranties and is **not liable** for damages arising from use or misuse of this model.  
+You are solely responsible for compliance with law and for authorized use only.  
+See also `USE_POLICY.md`.
+
+## Contact
+
+- Product / lab: https://vextlabs.ai · https://juwel.ai  
+- Disclosure / questions: info@vextlabs.ai  
+
+
+<!-- legal_tier: T1 -->