Grok 2
xAI's second open-weights release, Apache 2.0. ~300B mixture-of-experts. xAI's pattern of open-sourcing the previous frontier when a new one ships continues from Grok 1. Competitive with GPT-4-class chat quality at release; today useful mainly as a research artefact given the compute needed to run it.
- Parameters
- 300B
- Context length
- 131K
- Modality
- text
- Released
- 2025-03-17
Memory & hardware
- VRAM (fp16)
- 600 GB
- VRAM (Q4)
- 180 GB
- Recommended
- 8× H100 80GB at fp8
- Quantizations
- fp16, fp8
Benchmarks
No verified benchmark scores yet for this model.
Hosted inference pricing
No hosted pricing listed — this model is currently self-host-only on this site.
Run it yourself
Drop-in commands for the three most common open-source inference paths. The Ollama tag is a best-effort match against the registry; verify the size variant before pulling.
vllm serve xai-org/grok-2
from transformers import AutoTokenizer, AutoModelForCausalLM
tokenizer = AutoTokenizer.from_pretrained("xai-org/grok-2")
model = AutoModelForCausalLM.from_pretrained(
"xai-org/grok-2", device_map="auto", torch_dtype="auto"
)xai-org/grok-2 Related models
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