GPT-J 6B is a transformer model trained using Ben Wang's Mesh Transformer JAX. "GPT-J" refers to the class of model, while "6B" represents the number of trainable parameters. * Each layer consists of one feedforward block and one self attention block.

To get proper results, you should use EleutherAI/gpt-j-6B instead of hf-internal-testing/tiny-random-gptj. If you get out-of-memory when loading that checkpoint, you can try adding device_map="auto" in the from_pretrained call.

GPT-J or GPT-J-6B is an open-source large language model (LLM) developed by EleutherAI in 2021. [1] As the name suggests, it is a generative pre-trained transformer model designed to produce human-like text that continues from a prompt.

MODEL: GPT-J-6B. Model on Github. Prompt List. Try a classic prompt evaluated on other models . TOP-P. 0.9. Temperature. 0.8. Run the model! Powered by Mystic.ai.

GPT-J is an open-source alternative from EleutherAI to OpenAI's GPT-3. Available for anyone to download, GPT-J can be successfully fine-tuned to perform just as well as large models on a range of NLP tasks including question answering, sentiment analysis, and …

2021年6月4日 · We have released GPT-J-6B, 6B JAX-based (Mesh) Transformer LM . GPT-J-6B performs nearly on par with 6.7B GPT-3 (or Curie) on various zero-shot down-streaming tasks. You can try out this Colab notebook or free web demo. This library also serves as an example of model parallelism with xmap on JAX.

GPT-J 6B is a powerful transformer-based language model that generates text from prompts with remarkable efficiency. With 6 billion trainable parameters, it's designed to learn an inner representation of the English language, enabling it to extract …

2021年10月14日 · ‍GPT-J-6B is an open source, autoregressive language model created by a group of researchers called EleutherAI. It’s one of the most advanced alternatives to OpenAI’s GPT-3 and performs well...

In this notebook, we are going to perform inference (i.e. generate new text) with EleutherAI's GPT-J-6B model, which is a 6 billion parameter GPT model trained on The Pile, a huge publicly...

2024年5月28日 · The gpt-j-6b is a large language model trained by EleutherAI, a research group dedicated to developing open-source AI systems. The model has 6 billion trainable parameters and uses the same tokenizer as GPT-2 and GPT-3, with a vocabulary size of 50,257. It utilizes Rotary Position Embedding (RoPE) for positional encoding.