---
title: "Grok 2 weights | Ethical Stack"
url: https://ethicalstack.ai/models/grok-2/
catalog_version: f6baff2119d0e9158520da7fbe4232011dac79f25bd08757436d7a1dbd593db2
---

# Grok 2 weights

The downloadable Grok 2 checkpoint from xAI, with self-hosting instructions and a custom model license.

Canonical profile: https://ethicalstack.ai/models/grok-2/

Scope: The published xai-org/grok-2 checkpoint and Grok 2 Community License. Hosted Grok versions have separate service terms.

Published overall: 3; 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/grok-2/#energy

This grades documented operating information and controls, not electricity, emissions, or water for a generation.

Reason: 1 + 1 reporting + 0 electricity + 0 controls = 2/10. This grades documented practices and transparency.

Argument: The model card documents an SGLang deployment with tensor parallelism across eight GPUs, each with more than 40 GB of memory, but provides no energy, emissions, or water measurements. These operating details make the serving boundary clearer without measuring its environmental impact.

Type: argument; confidence: medium

Scope (dimension): Published Grok 2 checkpoint deployment instructions; no measured footprint.

Research reviewed: not recorded; evidence date: not recorded

Unknowns: The cited release does not report training or inference electricity, emissions, water, facility sourcing, or a workload-level footprint.

```json
{
  "method": "practices-transparency-v1",
  "scope": "Published Grok 2 checkpoint deployment instructions; no measured footprint.",
  "components": {
    "disclosure": {
      "score": 1,
      "reason": "The official serving instructions specify SGLang, tensor parallelism of eight, and GPUs with more than 40 GB memory each; they do not provide physical footprint measurements.",
      "sourceUrls": [
        "https://huggingface.co/xai-org/grok-2"
      ]
    },
    "electricity": {
      "score": 0,
      "reason": "The reviewed release does not establish clean-electricity sourcing or a regional energy mix; zero records that evidence gap, not dirty electricity.",
      "sourceUrls": [
        "https://huggingface.co/xai-org/grok-2"
      ]
    },
    "demand": {
      "score": 0,
      "reason": "The serving example documents hardware requirements but no workload-control practice or measured reduction in physical resource use.",
      "sourceUrls": [
        "https://huggingface.co/xai-org/grok-2"
      ]
    }
  },
  "actualImpactMeasured": false
}
```

- [xAI Grok 2 official model card and SGLang serving instructions](https://huggingface.co/xai-org/grok-2) (primary; checked 2026-10-24)

## Training data

Finding: 2/10

Assessment: https://ethicalstack.ai/models/grok-2/#training-rights

xAI's general Grok description names public sources and human-reviewed datasets, but does not give a checkpoint-specific corpus or source-level permission record for this release.

Reason: 1 base + 1 limited source description + 0 documented permission + 0 creator controls = 2/10. Weight licensing is separate from training-corpus permission.

Argument: X says Grok pretraining uses publicly available sources and datasets reviewed by human AI Tutors. The Grok 2 repository does not itemize the sources or show their permissions; a license for using released weights is not evidence that every training source was authorized.

Type: argument; confidence: low

Scope (profile): The published xai-org/grok-2 checkpoint and Grok 2 Community License. Hosted Grok versions have separate service terms.

Research reviewed: not recorded; evidence date: not recorded

Unknowns: A Grok 2-specific dataset inventory, source-level permissions, inherited data provenance, and creator removal or retraining controls are not established in the checked materials.

```json
{
  "method": "training-rights-evidence-v1",
  "scope": "The stated training release or selected model",
  "components": {
    "provenance": {
      "score": 1,
      "reason": "The official Grok description identifies publicly available sources and datasets reviewed by human AI Tutors, but the release has no itemized Grok 2 source manifest.",
      "sourceUrls": [
        "https://huggingface.co/xai-org/grok-2",
        "https://help.x.com/en/using-x/about-grok"
      ]
    },
    "permissions": {
      "score": 0,
      "reason": "The checked materials do not establish source-level licenses or permissions for the Grok 2 training corpus; availability of the weight license does not answer that question.",
      "sourceUrls": [
        "https://huggingface.co/xai-org/grok-2",
        "https://help.x.com/en/using-x/about-grok"
      ]
    },
    "creatorControls": {
      "score": 0,
      "reason": "The checked release materials do not document a creator removal or model retraining remedy specific to the Grok 2 corpus.",
      "sourceUrls": [
        "https://huggingface.co/xai-org/grok-2",
        "https://help.x.com/en/using-x/about-grok"
      ]
    }
  },
  "routeDependency": null,
  "modelReference": null
}
```

- [xAI Grok 2 official model card and SGLang serving instructions](https://huggingface.co/xai-org/grok-2) (primary; checked 2026-10-24)

- [X Help: About Grok and training data](https://help.x.com/en/using-x/about-grok) (primary; checked 2026-10-24)

## Your data & privacy

Finding: Not enough evidence

Assessment: https://ethicalstack.ai/models/grok-2/#privacy

The published weights can be run by a separate operator; that deployment does not have one xAI retention policy. The hosted consumer and API routes are assessed separately.

Reason: Depends on the selected self-hosted operator; do not transfer the hosted Grok privacy assessment to downloaded weights.

Argument: The repository provides weights and self-hosting instructions, but does not establish the logging, retention, telemetry, or access practices of each operator. The current hosted Grok service is a different route, so a single privacy score would overstate what this model release establishes.

Type: argument; confidence: high

Scope (profile): The published xai-org/grok-2 checkpoint and Grok 2 Community License. Hosted Grok versions have separate service terms.

Research reviewed: not recorded; evidence date: not recorded

Unknowns: A particular self-hosted operator's logs, region, access controls, and any connected applications are not established by the checkpoint release.

- [xAI Grok 2 official model card and SGLang serving instructions](https://huggingface.co/xai-org/grok-2) (primary; checked 2026-10-24)

## Openness

Finding: 6/10

Assessment: https://ethicalstack.ai/models/grok-2/#openness

xAI publishes downloadable weights, files, and serving instructions under its custom Grok 2 Community License. The release does not include a full training dataset or reproducible training pipeline.

Reason: Published weights and serving files support reuse; custom license conditions and missing training data and recipe limit openness and reproducibility.

Argument: The official repository makes the checkpoint files and deployment instructions available, but use is governed by a custom license and the checked release does not provide the complete training data or a reproducible training recipe. This rating concerns artifacts and reproducibility, not whether the original training corpus was authorized.

Type: argument; confidence: high

Scope (profile): The published xai-org/grok-2 checkpoint and Grok 2 Community License. Hosted Grok versions have separate service terms.

Research reviewed: not recorded; evidence date: not recorded

Unknowns: A full source-level training dataset, end-to-end training code, and independent reproduction results are not established by the repository.

- [xAI Grok 2 official model card and SGLang serving instructions](https://huggingface.co/xai-org/grok-2) (primary; checked 2026-10-24)

- [xAI Grok 2 official repository files](https://huggingface.co/xai-org/grok-2/tree/main) (primary; checked 2026-10-24)

- [Grok 2 Community License Agreement](https://huggingface.co/xai-org/grok-2/blob/main/LICENSE) (primary; checked 2026-10-24)

## Worker protections

Finding: 2/10

Assessment: https://ethicalstack.ai/models/grok-2/#labour

xAI publicly describes direct-employee benefits and flexible vacation, while reporting confirms a sizable annotation workforce and major 2025 layoffs; contractor conditions, voice and labor assurance remain undisclosed.

Reason: 1 + 1 pay & conditions + 0 worker voice & remedy + 0 evidence & follow-through = 2/10. This grades documented worker safeguards, not a measured rate of mistreatment.

Argument: xAI’s careers page advertises health, dental, vision and disability coverage, life/family benefits and flexible vacation for direct hires. Separately, Reuters/TechCrunch reported in September 2025 that xAI laid off at least 500 generalist data annotators in a strategic pivot, with continued payment through contract end or a stated date but access ending immediately. That is evidence of a real annotation workforce and substantial churn, not proof of unlawful treatment or poor conditions. No public supplier labor code, contractor pay terms, worker-specific grievance mechanism, worker survey or labor-assurance results were established. This entry carries the same developer/operator finding to Grok 2 weights; it does not establish that this product was deployed under every cited relationship.

Type: argument; confidence: low

Scope (dimension): xAI: the documented developer/operator record, not proof of deployment of Grok 2 weights.

Research reviewed: 2026-10-24; evidence date: not recorded

Unknowns: The careers benefits are for direct applicants and do not establish benefits or coverage for annotation contractors. Layoff reporting does not establish current staffing, severance, worker voice or supplier labor standards; no xAI-specific labor code or worker outcomes were found.

```json
{
  "method": "worker-safeguards-evidence-v1",
  "entity": "xai",
  "company": "xAI",
  "scope": "xAI's workforce and disclosed contractors. Coverage of individual product teams may be incomplete.",
  "components": {
    "conditions": {
      "score": 1,
      "reason": "xAI advertises health/disability insurance and flexible vacation for direct hires; this is a limited company commitment and does not establish conditions for the laid-off annotation contractors.",
      "sourceUrls": [
        "https://x.ai/careers",
        "https://techcrunch.com/2025/09/13/xai-reportedly-lays-off-500-workers-from-data-annotation-team/"
      ]
    },
    "voice": {
      "score": 0,
      "reason": "No public worker-specific grievance, opt-out or representation mechanism was established; the layoffs do not show individual voice or remedy.",
      "sourceUrls": [
        "https://x.ai/careers",
        "https://techcrunch.com/2025/09/13/xai-reportedly-lays-off-500-workers-from-data-annotation-team/"
      ]
    },
    "assurance": {
      "score": 0,
      "reason": "No public annotation-specific labor audits, worker surveys, remediation or independently verified outcome mechanisms were found.",
      "sourceUrls": [
        "https://x.ai/careers",
        "https://techcrunch.com/2025/09/13/xai-reportedly-lays-off-500-workers-from-data-annotation-team/"
      ]
    }
  },
  "disclosureLimited": true,
  "meaning": "This grades documented worker safeguards, not a measured rate of mistreatment."
}
```

- [Careers: Build AI That Advances Humanity](https://x.ai/careers) (primary; checked 2026-10-24)

- [xAI reportedly lays off 500 workers from data-annotation team](https://techcrunch.com/2025/09/13/xai-reportedly-lays-off-500-workers-from-data-annotation-team/) (independent; checked 2026-10-24)

## Military ties

Finding: 3/10

Assessment: https://ethicalstack.ai/models/grok-2/#military-contracts

xAI offers a government product line, a $200 million-ceiling DoD contract, and customized AI for national-security customers, including classified settings and intelligence and operational-planning use cases. No weapons or surveillance limits are disclosed in the reviewed government materials.

Reason: 1 + 0 use restrictions + 0 enforcement & oversight + 2 relationship disclosure = 3/10. Known defense ties lower this rating; safeguards can improve it within the relationship’s cap.

Argument: xAI's government announcement confirms a $200 million-ceiling DoD contract, classified-environment plans, custom models for national-security customers, and federal access to its products. Its current government page markets intelligence analysis, operational planning, and defense logistics. This is broad defense enablement capped at 3/10; public materials describe secure deployment controls but no restrictions on weapons or harmful surveillance and no independent military-use review. This entry carries the same developer/operator finding to Grok 2 weights; it does not establish that this product was deployed under every cited relationship.

Type: argument; confidence: medium

Scope (dimension): xAI: the documented developer/operator record, not proof of deployment of Grok 2 weights.

Research reviewed: 2026-10-24; evidence date: not recorded

Unknowns: The award announcement and product page do not identify contract task orders, operational customer use, restrictions, model versions, or oversight outcomes. Availability in classified environments does not prove use of a specific model or combat task.

```json
{
  "method": "military-ties-priority-v2",
  "entity": "xai",
  "company": "xAI",
  "scope": "xAI's relationships and safeguards. A company relationship does not identify every product or release used.",
  "components": {
    "restrictions": {
      "score": 0,
      "reason": "The reviewed government materials advertise lawful mission use and secure controls but do not disclose restrictions on military, weapons, or surveillance use.",
      "sourceUrls": [
        "https://x.ai/news/government",
        "https://x.ai/grok/government"
      ]
    },
    "oversight": {
      "score": 0,
      "reason": "Audit logging and access controls are product security features; no military-use review, enforcement, or public remedy outcomes are established.",
      "sourceUrls": [
        "https://x.ai/news/government",
        "https://x.ai/grok/government"
      ]
    },
    "transparency": {
      "score": 2,
      "reason": "xAI names its DoD contract ceiling, classified deployment plans, customer groups, and defense/intelligence use cases; task-level deployments are not public.",
      "sourceUrls": [
        "https://x.ai/news/government",
        "https://x.ai/grok/government"
      ]
    }
  },
  "relationship": "broad-defense",
  "relationshipReason": "xAI confirms DoD contracting and offers national-security models for classified environments, with intelligence, operational planning, and defense-logistics applications but no verified specific combat deployment.",
  "score": 3,
  "baseScore": 1,
  "safeguardPoints": 2,
  "safeguardAdjustment": 2,
  "rawScore": 3,
  "cap": 3,
  "disclosureLimited": true,
  "meaning": "Known military relationships take priority over missing safeguards. The rating does not establish the probability of an undisclosed contract."
}
```

- [xAI government](https://x.ai/news/government) (primary; checked 2026-10-23)

- [Grok for government](https://x.ai/grok/government) (primary; checked 2026-10-23)

## BDS targets

Finding: Not listed

Assessment: https://ethicalstack.ai/models/grok-2/#israel-palestine

We did not find xAI among the named targets in the two official BNC campaign lists checked on 2026-10-23. This is a limited list check, not BDS approval.

Reason: BDS campaign status is a factual category, not a 1–10 ethical rating.

Argument: xAI is not a named target in the checked lists, but BDS uses selective campaigns, so absence cannot establish a clean record. Running downloaded weights locally is a different decision from paying the developer or a cloud host; check the host as well. This entry carries the same developer/operator finding to Grok 2 weights; it does not establish that this product was deployed under every cited relationship.

Type: evidence; confidence: medium

Scope (dimension): xAI: the documented developer/operator record, not proof of deployment of Grok 2 weights.

Research reviewed: 2026-10-23; evidence date: not recorded

Unknowns: This review covers the named targets in the BNC consumer/pressure guide and No Tech campaign, not every BDS campaign, local group, investment or supplier. Lists and ownership can change. A company’s absence from these lists is not an endorsement or proof that it has no relevant relationships.

- [BNC: live guide to consumer boycott and pressure targets](https://bdsmovement.net/Guide-to-BDS-Boycott) (campaign; checked 2026-10-23)

- [BNC: No Tech for Oppression, Apartheid or Genocide campaign](https://bdsmovement.net/no-tech-oppression-apartheid-or-genocide) (campaign; checked 2026-10-23)

## 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/