--- title: "Trinity family | Ethical Stack" url: https://ethicalstack.ai/models/arcee-trinity/ catalog_version: f6baff2119d0e9158520da7fbe4232011dac79f25bd08757436d7a1dbd593db2 --- # Trinity family Open-weight reasoning models for local experimentation and enterprise deployment; Trinity Mini is 26B total with 3B active parameters. Canonical profile: https://ethicalstack.ai/models/arcee-trinity/ Scope: Arcee Trinity family, including published Nano, Mini, and Large checkpoints; license and deployment requirements vary by release. Published overall: 3.6; 5/6 dimensions rated. Round the equal-weight mean of available numerical ratings to one decimal; require at least four of six for an overall score. BDS status stays outside the mean; for eligible profiles, a boycott target caps the final score at 2/10 and a pressure target subtracts one point (minimum 1). Not listed and not checked do not adjust the score. ## Energy practices Finding: 2/10 Assessment: https://ethicalstack.ai/models/arcee-trinity/#energy This is a practices and disclosure score for the named release, not a request-level energy or emissions estimate. Reason: 1 + 1 reporting + 0 electricity + 0 controls = 2/10. This grades documented practices and transparency. Argument: The Trinity Mini card reports a 512-H200 training cluster, but does not measure electricity, emissions, or water for the run. The rubric rewards documented reporting and controls; it does not infer high consumption from missing measurements. Type: argument; confidence: low Scope (dimension): Arcee Trinity family, including published Nano, Mini, and Large checkpoints; license and deployment requirements vary by release. Research reviewed: not recorded; evidence date: not recorded Unknowns: No comparable per-request electricity, emissions, water, regional serving mix, or independently reviewed model footprint is established in the cited sources. ```json { "method": "practices-transparency-v1", "scope": "Arcee Trinity family, including published Nano, Mini, and Large checkpoints; license and deployment requirements vary by release.", "components": { "disclosure": { "score": 1, "reason": "The Trinity Mini card reports a 512-H200 training cluster, but does not measure electricity, emissions, or water for the run.", "sourceUrls": [ "https://huggingface.co/arcee-ai/Trinity-Mini", "https://huggingface.co/arcee-ai/Trinity-Large-Preview", "https://huggingface.co/arcee-ai/Trinity-Nano-Preview" ] }, "electricity": { "score": 0, "reason": "No model-specific clean-electricity sourcing or hourly power evidence is published in the reviewed sources; zero means unestablished, not dirty electricity.", "sourceUrls": [ "https://huggingface.co/arcee-ai/Trinity-Mini", "https://huggingface.co/arcee-ai/Trinity-Large-Preview", "https://huggingface.co/arcee-ai/Trinity-Nano-Preview" ] }, "demand": { "score": 0, "reason": "No model-specific documented control or measured physical resource reduction is established by the reviewed release materials. Public weights or smaller variants alone do not prove reduced resource use.", "sourceUrls": [ "https://huggingface.co/arcee-ai/Trinity-Mini", "https://huggingface.co/arcee-ai/Trinity-Large-Preview", "https://huggingface.co/arcee-ai/Trinity-Nano-Preview" ] } }, "actualImpactMeasured": false } ``` - [Official model card or model release repository](https://huggingface.co/arcee-ai/Trinity-Mini) (primary; checked 2026-10-24) - [Official model card or model release repository](https://huggingface.co/arcee-ai/Trinity-Large-Preview) (primary; checked 2026-10-24) - [Official model card or model release repository](https://huggingface.co/arcee-ai/Trinity-Nano-Preview) (primary; checked 2026-10-24) ## Training data Finding: 2/10 Assessment: https://ethicalstack.ai/models/arcee-trinity/#training-rights The release provides some training-process information, but not a complete permission ledger for inherited and later training data. Reason: 1 base + 1 source transparency + 0 documented permission + 0 creator controls = 2/10. Weight licensing is not treated as corpus permission. Argument: Arcee describes a Datology data-curation partnership and a broad token scale, but the reviewed material does not publish an itemized source manifest or corpus-level permission evidence. A public weight license governs use of those weights; it is not proof that every training source was permitted. Type: evidence; confidence: low Scope (dimension): Arcee Trinity family, including published Nano, Mini, and Large checkpoints; license and deployment requirements vary by release. Research reviewed: not recorded; evidence date: not recorded Unknowns: Complete source lists, source-specific rights, inherited-base provenance, synthetic-data generation permissions, and creator removal or retraining remedies remain unestablished. ```json { "method": "training-rights-evidence-v1", "scope": "Arcee Trinity family, including published Nano, Mini, and Large checkpoints; license and deployment requirements vary by release.", "components": { "provenance": { "score": 1, "reason": "Arcee describes a Datology data-curation partnership and a broad token scale, but the reviewed material does not publish an itemized source manifest or corpus-level permission evidence.", "sourceUrls": [ "https://huggingface.co/arcee-ai/Trinity-Mini", "https://huggingface.co/arcee-ai/Trinity-Large-Preview", "https://huggingface.co/arcee-ai/Trinity-Nano-Preview" ] }, "permissions": { "score": 0, "reason": "A model-weight license governs the released checkpoint, not automatically the training corpus. The reviewed release does not establish affirmative rights for all inherited and post-training material.", "sourceUrls": [ "https://huggingface.co/arcee-ai/Trinity-Mini", "https://huggingface.co/arcee-ai/Trinity-Large-Preview", "https://huggingface.co/arcee-ai/Trinity-Nano-Preview" ] }, "creatorControls": { "score": 0, "reason": "The reviewed model documentation does not establish a corpus-wide creator permission, opt-out, removal, or retraining remedy for this model family.", "sourceUrls": [ "https://huggingface.co/arcee-ai/Trinity-Mini", "https://huggingface.co/arcee-ai/Trinity-Large-Preview", "https://huggingface.co/arcee-ai/Trinity-Nano-Preview" ] } }, "routeDependency": null, "modelReference": null } ``` - [Official model card or model release repository](https://huggingface.co/arcee-ai/Trinity-Mini) (primary; checked 2026-10-24) - [Official model card or model release repository](https://huggingface.co/arcee-ai/Trinity-Large-Preview) (primary; checked 2026-10-24) - [Official model card or model release repository](https://huggingface.co/arcee-ai/Trinity-Nano-Preview) (primary; checked 2026-10-24) ## Your data & privacy Finding: Not enough evidence Assessment: https://ethicalstack.ai/models/arcee-trinity/#privacy Privacy depends on where these released weights are run; the model family has no single prompt-retention or training route. Reason: Depends on the selected inference host; do not transfer the model license to a hosting provider’s privacy practices. Argument: The official release makes weights available for separate deployments, but it does not define one inference host or retention policy for every user. Local and hosted operators may handle prompts differently, so a single numerical privacy grade would misstate this model-level entry. Type: argument; confidence: high Scope (profile): Arcee Trinity family, including published Nano, Mini, and Large checkpoints; license and deployment requirements vary by release. Research reviewed: not recorded; evidence date: not recorded Unknowns: The user-selected host, region, telemetry, logging, extensions, and provider training terms are outside the checkpoint release and require a route-specific review. - [Official model card or model release repository](https://huggingface.co/arcee-ai/Trinity-Mini) (primary; checked 2026-10-24) - [Official model card or model release repository](https://huggingface.co/arcee-ai/Trinity-Large-Preview) (primary; checked 2026-10-24) - [Official model card or model release repository](https://huggingface.co/arcee-ai/Trinity-Nano-Preview) (primary; checked 2026-10-24) ## Openness Finding: 6/10 Assessment: https://ethicalstack.ai/models/arcee-trinity/#openness The model weights and technical details are available, but OpenMDW-1.1 is a model-specific license, not Apache or MIT. Public checkpoints do not by themselves provide the training-data source or rights trail. Reason: Trinity Mini model card lists OpenMDW-1.1; review that model-specific license rather than assuming an OSI-approved or unrestricted license. Model weights and documentation are available, but limitations described above reduce source-level reproducibility. Argument: The model weights and technical details are available, but OpenMDW-1.1 is a model-specific license, not Apache or MIT. Public checkpoints do not by themselves provide the training-data source or rights trail. This openness rating concerns artifacts and reproducibility only; it does not assess whether the original training corpus was authorized. Type: argument; confidence: medium Scope (profile): Arcee Trinity family, including published Nano, Mini, and Large checkpoints; license and deployment requirements vary by release. Research reviewed: not recorded; evidence date: not recorded Unknowns: The checked release and license apply to the named checkpoints; sibling variants, future versions, and the underlying corpus may have different terms or disclosures. - [Official model card or model release repository](https://huggingface.co/arcee-ai/Trinity-Mini) (primary; checked 2026-10-24) - [Official model card or model release repository](https://huggingface.co/arcee-ai/Trinity-Large-Preview) (primary; checked 2026-10-24) - [Official model card or model release repository](https://huggingface.co/arcee-ai/Trinity-Nano-Preview) (primary; checked 2026-10-24) ## Worker protections Finding: 1/10 Assessment: https://ethicalstack.ai/models/arcee-trinity/#labour Arcee reports that its team built Trinity and will expand; reviewed primary sources do not describe workforce conditions or worker channels. Reason: 1 base + 0 documented conditions + 0 voice/remedy + 0 assurance = 1/10. Team and funding statements do not establish worker protections. Argument: Arcee’s company update says the Trinity team built its 2025 model lineup and that the Series B will support hiring and growth. It does not set out pay, working conditions, supplier safeguards, or grievance processes for employees and model contractors, so this remains a disclosure gap. Type: argument; confidence: low Scope (profile): Arcee Trinity family, including published Nano, Mini, and Large checkpoints; license and deployment requirements vary by release. Research reviewed: not recorded; evidence date: not recorded Unknowns: No worker pay, location, conditions, supplier coverage, voice or remedy system, independent audit, or follow-through outcomes were established in the reviewed official company sources. ```json { "method": "worker-safeguards-evidence-v1", "entity": "models/arcee-trinity", "company": "", "scope": "The named developer or operator", "components": { "conditions": { "score": 0, "reason": "Arcee discusses its team and hiring plans, but the reviewed company sources do not publish pay or working-condition standards for staff and contractors.", "sourceUrls": [ "https://www.arcee.ai/blog/arcee-ai-raises-series-b-to-build-the-future-of-american-open-models" ] }, "voice": { "score": 0, "reason": "No employee or supplier grievance channel, non-retaliation commitment, or remedy mechanism was established in the reviewed sources.", "sourceUrls": [ "https://www.arcee.ai/blog/arcee-ai-raises-series-b-to-build-the-future-of-american-open-models" ] }, "assurance": { "score": 0, "reason": "No independent worker-level audit or labor remediation outcome was established in the reviewed sources.", "sourceUrls": [ "https://www.arcee.ai/blog/arcee-ai-raises-series-b-to-build-the-future-of-american-open-models" ] } }, "disclosureLimited": true } ``` - [Arcee AI Raises Series B to Build the Future of American Open Models](https://www.arcee.ai/blog/arcee-ai-raises-series-b-to-build-the-future-of-american-open-models) (primary; checked not recorded) - [Official model card or model release repository](https://huggingface.co/arcee-ai/Trinity-Mini) (primary; checked 2026-10-24) ## Military ties Finding: 7/10 Assessment: https://ethicalstack.ai/models/arcee-trinity/#military-contracts Arcee publicly describes a civilian-science collaboration with DOE; no Arcee-Anduril or defense deployment link was established in reviewed official company materials. Reason: 7 base + 0 safeguard adjustment = 7/10 (2 of 9 safeguard points; every 3 adds 1). No military relationship was established in the cited sources. This ranks above known defense ties without claiming a verified clean record. Argument: Arcee and DOE describe Genesis-Science-1 as an open model for scientific research with national laboratories shaping research tasks. That is a public civilian-government collaboration, not evidence of military use. Trinity’s OpenMDW license imposes no field-of-use restriction; no separate defense safeguard was found. Type: argument; confidence: medium Scope (profile): Arcee Trinity family, including published Nano, Mini, and Large checkpoints; license and deployment requirements vary by release. Research reviewed: not recorded; evidence date: not recorded Unknowns: No military customer, Anduril relationship, defense contract, Granite-like model deployment, or military-use enforcement process is established in the reviewed official sources. ```json { "method": "military-ties-priority-v2", "entity": "models/arcee-trinity", "company": "", "scope": "The named developer or operator", "components": { "restrictions": { "score": 0, "reason": "OpenMDW-1.1 grants unrestricted use without a field-of-use restriction; that is a license scope finding, not proof of military deployment.", "sourceUrls": [ "https://openmdw.ai/faq/", "https://huggingface.co/arcee-ai/Trinity-Mini" ] }, "oversight": { "score": 0, "reason": "No monitoring or enforcement for military use of downloaded Trinity weights was established.", "sourceUrls": [ "https://www.arcee.ai/blog/genesis-science-1", "https://huggingface.co/arcee-ai/Trinity-Mini" ] }, "transparency": { "score": 2, "reason": "Arcee publicly describes its DOE and national-laboratory Genesis collaboration; the source scopes it to scientific research.", "sourceUrls": [ "https://www.arcee.ai/blog/genesis-science-1", "https://www.arcee.ai/blog/arcee-ai-raises-series-b-to-build-the-future-of-american-open-models" ] } }, "disclosureLimited": true, "relationship": "civilian-government", "relationshipReason": "Arcee publicly collaborates with DOE and national laboratories on a scientific model. Reviewed company sources did not establish a defense relationship.", "score": 7, "baseScore": 7, "safeguardPoints": 2, "safeguardAdjustment": 0, "rawScore": 7, "cap": null } ``` - [Genesis-Science-1](https://www.arcee.ai/blog/genesis-science-1) (primary; checked not recorded) - [Arcee AI Raises Series B to Build the Future of American Open Models](https://www.arcee.ai/blog/arcee-ai-raises-series-b-to-build-the-future-of-american-open-models) (primary; checked not recorded) - [OpenMDW FAQ](https://openmdw.ai/faq/) (primary; checked not recorded) - [Official model card or model release repository](https://huggingface.co/arcee-ai/Trinity-Mini) (primary; checked 2026-10-24) ## BDS targets Finding: Not listed Assessment: https://ethicalstack.ai/models/arcee-trinity/#israel-palestine Arcee AI is not named in the two official BNC campaign lists checked. This is a limited list check, not BDS approval. Reason: Campaign category, excluded from numerical scoring. Argument: The official BNC consumer boycott/pressure guide and No Tech campaign page do not name Arcee AI among their current targets. BDS uses selective campaigns, so absence from these lists is neutral and does not establish a clean record or approval. Type: argument; confidence: medium Scope (profile): Arcee Trinity family, including published Nano, Mini, and Large checkpoints; license and deployment requirements vary by release. Research reviewed: not recorded; evidence date: not recorded Unknowns: This check covers only named targets in the two cited BNC campaigns; it does not cover all BDS campaigns, local groups, investments, suppliers, or downstream hosts. Lists and ownership may change. - [BNC official campaign target list](https://bdsmovement.net/Guide-to-BDS-Boycott) (primary; checked 2026-10-24) - [BNC official campaign target list](https://bdsmovement.net/no-tech-oppression-apartheid-or-genocide) (primary; checked 2026-10-24) ## Reading the evidence - Assessments are provisional editorial judgments. Cite the profile and the underlying sources, and retain confidence, scope and unknowns. - Unknown, not-applicable and model-dependent are different states. Missing evidence does not establish good or bad conduct. - Company-level evidence does not establish use of a particular product or model. Account plan, model, host and route can change an assessment. - Energy scores describe documented practices and transparency, not measured request emissions. Zero component points can mean an evidence gap. - Published overall scores require at least four of six numerical dimensions. Preserve coverage and BDS adjustments; BDS itself is categorical. - No named BDS target found is limited to the reviewed campaign sources and is not approval. Personalized priorities do not change the published overall score. - Review and source-check dates describe the research, not this deployment. Fetch current primary sources when the decision requires current verification. Methodology: https://ethicalstack.ai/methodology/