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Grok open release
This repository page is useful for visitors, but Git-Stars keeps it out of search indexing until more original evidence and comparison context are available.
60
review score
Problem solved
This project enables researchers and developers to load and test the Grok-1 model, which is a large-scale MoE model, without needing custom kernels for the MoE layer, though the implementation is not optimized for efficiency.
Deployment reality
The available setup signal starts with: pip install -r requirements.txt. Treat this as a starting point, then ask Codex or Claude to inspect the README, environment variables, runtime version, and deployment target before production use.
Commercial use
The recorded license is Apache-2.0. This is a useful commercial-use signal, but teams should still verify license text, dependencies, model/API terms, and trademark constraints.
Capability ceiling
xai-org/grok-1 still needs a clearer capability analysis. Use the metadata as a discovery signal, not as a production recommendation.
Git-Stars is independent and not affiliated with GitHub or this project. Analysis may be AI-assisted and based on public repository metadata plus short README-derived summaries. We do not mirror full README files, docs, issues, or social comments.
xai-org/grok-1 is tracked as a Python project in the LLM Tool, UI Framework area. This evaluation combines public GitHub metadata, category signals, short source summaries, and Git-Stars editorial rules rather than copying project documentation.
Momentum check: the repository has 52k total stars, with +0 today, +342 this week, and +0 this month. These growth windows help distinguish durable adoption from short-lived visibility spikes.
Maintenance check: current activity is Inactive; the latest push was 775 days ago, and the open issue queue is 124, about 0.24% of total stars. Treat this as an adoption signal, not a substitute for engineering due diligence.
Adoption check: 8.5k forks and 52k watchers suggest how often the project is reused or followed. License signal: Apache-2.0. Always verify license compatibility before commercial or internal use.
Practical fit: this project is most relevant when you need Python teams evaluating ecosystem-native tooling. Be cautious when you require frequent releases or active maintenance.
Source check: Git-Stars currently has 2 explicit source reference(s) for this report and a recent growth signal of 342. Follow the original GitHub repository for final install, security, and release information.
Analysis
LimitedNeeds stronger original analysis before indexing.
Sources
ReadyRepository metadata and README/source references are attached.
License
ReadyApache-2.0 is recorded for review.
Maintenance
LimitedRecent maintenance signal is weak or unavailable.
Alternatives
ReadyEnough nearby projects exist for comparison.
Momentum
52k Stars
Reuse
8.5k Forks
Attention
52k Watchers
Maintenance
inactive
License
Apache-2.0
Open issues
124
This repository provides JAX example code for loading and running the Grok-1 open-weights model, a large 314B parameter Mixture of Experts (MoE) language model. It includes a script to load the checkpoint and sample from the model on a test input.
Key Features
- 314B parameter Mixture of 8 Experts (MoE) model with 2 experts used per token - Supports activation sharding and 8-bit quantization - Uses Rotary embeddings (RoPE) and SentencePiece tokenizer with 131,072 tokens
LLM Tool
Libraries and tools for LLM apps, RAG, prompts, and evals
UI Framework
Frontend frameworks, design systems, and interface libraries
pip install -r requirements.txt50
Health Score
Inactive
Commit Activity
Mar 17, 2024
Created
Aug 30, 2024
Last push
Star history will appear after daily syncs accumulate data.
Forks
Open
Watchers
xai-org
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✓
License
✓
Forked
✗ Inactive
Maintained