Grok 2.5 (OSS Ver.)

Grok 2.5 (OSS Ver.)

Grok 2.5 is xAI's powerful open-source large language model featuring 314B parameters with a Mixture-of-Experts architecture, released as their best model from last year under a community license.
https://huggingface.co/xai-org/grok-2?ref=producthunt
Grok 2.5 (OSS Ver.)

Product Information

Updated:Sep 16, 2025

What is Grok 2.5 (OSS Ver.)

Grok 2.5 represents xAI's significant contribution to open-source AI, being a 500GB large-scale model that was previously their best performing model. Built on a Mixture-of-Experts (MoE) architecture with 314 billion parameters, it features 8 experts with 2 active for inference, resulting in approximately 115B active parameters during operation. The model maintains the same core capabilities as its predecessor Grok-1 while being made available to developers and researchers under a community license agreement.

Key Features of Grok 2.5 (OSS Ver.)

Grok 2.5 is an open-source large language model released by xAI, featuring approximately 314B total parameters in a Mixture of Experts (MoE) architecture with 8 experts (2 active for inference). The model requires significant computational resources (8 GPUs with >40GB memory each) and is available with weights of approximately 500GB, licensed under the Grok 2 Community License Agreement.
MoE Architecture: Utilizes a 314B parameter Mixture of Experts architecture with 8 experts, of which 2 are active during inference, resulting in 115B active parameters
Advanced Inference Engine: Compatible with SGLang inference engine (v0.5.1+) supporting features like fp8 quantization and triton attention backend
Specialized Chat Template: Implements a post-trained model structure requiring specific chat templates for optimal interaction and response generation

Use Cases of Grok 2.5 (OSS Ver.)

Research and Development: Enables AI researchers and developers to study and experiment with large-scale language models and MoE architectures
Model Fine-tuning: Serves as a base model for organizations looking to develop specialized AI applications through fine-tuning
Academic Research: Provides opportunities for academic institutions to study advanced AI architectures and their capabilities

Pros

Open-source availability allows for community access and development
Advanced MoE architecture with significant parameter count
Supports modern optimization techniques like fp8 quantization

Cons

Requires substantial computational resources (8 GPUs with >40GB memory)
Large storage requirement (500GB)
Limited accessibility for hobbyists due to hardware requirements

How to Use Grok 2.5 (OSS Ver.)

System Requirements Check: Ensure you have 8 GPUs with at least 40GB memory each, as Grok 2 requires significant computational resources with TP=8 (tensor parallelism)
Download Model Weights: Run command: 'hf download xai-org/grok-2 --local-dir /local/grok-2'. The download will be approximately 500GB and contain 42 files. Retry if errors occur during download.
Install SGLang Inference Engine: Install the latest SGLang inference engine (version >= v0.5.1) from https://github.com/sgl-project/sglang/
Launch Inference Server: Run command: 'python3 -m sglang.launch_server --model /local/grok-2 --tokenizer-path /local/grok-2/tokenizer.tok.json --tp 8 --quantization fp8 --attention-backend triton'
Test the Model: Send a test request using command: 'python3 -m sglang.test.send_one --prompt "Human: What is your name?<|separator|>\n\nAssistant:"' - The model should respond identifying itself as Grok
Review License Terms: Ensure compliance with the Grok 2 Community License Agreement before using the model

Grok 2.5 (OSS Ver.) FAQs

Grok 2.5 is xAI's best model from last year that has been released as open source. It's a large-scale AI model with weights approximately 500 GB in size.

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