Data as of Jul 25, 2026 · Based on 2,718,867 AI responses across 9,511 prompts · See how Parse measures this
GPT-J-6B is a 6‑billion-parameter open‑source autoregressive language model from EleutherAI designed for text generation. It is available on Hugging Face and supports PyTorch, TensorFlow, and JAX via the Transformers library, trained on the EleutherAI Pile dataset under the Apache-2.0 license. It targets English causal language modeling and can be used for inference through standard Hugging Face pipelines or AutoModelForCausalLM.
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Sources
en.wikipedia.org shapes more of what AI says about GPT-J-6B than any other source, at 100% of its citations.