Grok-1
Grok-1 is an open-weight model release in the Grok family from xAI (SpaceXSI)12, version Grok-1, released Mar 17, 2024. Its weights can be downloaded by the public42 under the Apache License 2.0321.
Grok-1 is a 314-billion-parameter mixture-of-experts language model (8 experts, 2 used per token) that xAI trained from scratch. The published checkpoint is the raw base model from pretraining that ended in October 2023 and is not fine-tuned for dialogue or other applications.12
- Repository: Grok-1 repository (external site: github.com)
- Model hub: Hugging Face model repository (external site: huggingface.co)
- Release notes: Open Release of Grok-1 (external site: x.ai)
- License: LICENSE (Apache 2.0) (external site: github.com)
On AI on Hugging Face: xai-org/grok-1
Availability and license
Overall availability
Downloadable from Hugging Face without gating or by torrent.42
Availability is separate from permission: read the license before using or redistributing.
The repository README states that the Apache 2.0 license applies only to the source files in the repository and the Grok-1 weights.2
Component reuse rights
- weights
- Unknown — no complete fact-level rights review
- code
- Unknown — no complete fact-level rights review
- data
- Unknown — no complete fact-level rights review
- documentation
- Unknown — no complete fact-level rights review
No complete system-rights review is recorded for this release.
Model-disclosure tier
The model parameters for this release can be downloaded by the public. License terms may still restrict use, redistribution, or commercial use.
Public materials checklist
| Item | Status | Notes and evidence |
|---|---|---|
| WeightsCan the general public download the model parameters for this release? | Public | Base-model checkpoint published on Hugging Face (described there as int8) and via a torrent link.42 |
| Inference codeIs code for running the model published? | Public | JAX example code for loading and sampling; xAI says its MoE implementation is not efficient.2 |
| Training codeIs the code used to train the model published? | Unknown | Not assessed. |
| Training-data informationDoes the information cover provenance, scope, acquisition, selection, labeling, processing, and where data or alternatives can be obtained? Access alone does not establish completeness. | Unknown | Not assessed. |
| Training-data accessCan the training data be obtained? This is independent of information completeness and reuse rights; original unshareable data need not be downloadable. | Unknown | Not assessed. |
| Complete training pipelineIs the complete base-training and preprocessing pipeline published, including configuration? Fine-tuning code or an inference SDK alone is insufficient. | Unknown | Not assessed. |
| Legacy data assessment (v0.1)Historical assessment combining download access and disclosure. Preserved for traceability; excluded from the v0.2 tier calculation. See the new separate assessments above. | Unknown | The release notes say only that the base model was trained on a large amount of text data. |
| Training recipeAre the training configuration and procedure documented in enough detail to follow? | Unknown | Not assessed. |
| Evaluation materialsPublic = evaluation code or prompts that let others re-run the evaluations are published. Partial = results only. | Unknown | Not assessed. |
Run and use notes
- The GitHub repository documents running the checkpoint with its JAX example code (run.py) and says a machine with enough GPU memory is required; the Hugging Face card says a multi-GPU machine is needed. The model supports activation sharding and 8-bit quantization.24
- Documented specifications: 64 layers, 48 query heads and 8 key/value heads, a 131,072-token SentencePiece tokenizer, rotary embeddings, and a maximum context of 8,192 tokens.2
Organization context
Provenance and derivatives
xAI states that Grok-1 was trained from scratch using a custom training stack built on JAX and Rust.1
Other releases in the Grok family
- Grok 2Model-disclosure tier (USASI rubric v0.2): Open-weight
What this catalog does not know
- Training code: unknown.
- Training-data information: unknown.
- Training-data access: unknown.
- Complete training pipeline: unknown.
- Legacy data assessment (v0.1): unknown.
- Training recipe: unknown.
- Evaluation materials: unknown.
Have a primary source? How to report a correction.
U.S. eligibility
Eligible · basis: U.S. headquarters
Developed by xAI, whose AI operations are headquartered in Palo Alto, California, according to the June 2026 prospectus of its parent, Space Exploration Technologies Corp., a Texas corporation.5
Sources
This listing is not an endorsement, a safety assessment, or a federal approval.
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Cite this page
APA style
USASI. (2026, October 11). Grok-1. United States of America Superintelligence. https://unitedstatesofamericasuperintelligence.com/open/grok-1/
BibTeX
@misc{usasi_grok_1,
author = {{USASI}},
title = {Grok-1},
year = {2026},
month = oct,
howpublished = {\url{https://unitedstatesofamericasuperintelligence.com/open/grok-1/}},
note = {United States of America Superintelligence. Last updated 2026-10-11}
}The date is when this page was last updated. Add the date you read it if your style needs one.
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