We use essential cookies to make our site work. With your consent, we may also use non-essential cookies to improve user experience and analyze website traffic…

Browse deepinfra models:

All categories and models you can try out and directly use in deepinfra:
Search

Category/text-generation

Text generation AI models can generate coherent and natural-sounding human language text, making them useful for a variety of applications from language translation to content creation.

There are several types of text generation AI models, including rule-based, statistical, and neural models. Neural models, and in particular transformer-based models like GPT, have achieved state-of-the-art results in text generation tasks. These models use artificial neural networks to analyze large text corpora and learn the patterns and structures of language.

While text generation AI models offer many exciting possibilities, they also present some challenges. For example, it's essential to ensure that the generated text is ethical, unbiased, and accurate, to avoid potential harm or negative consequences.

openchat/openchat-3.6-8b cover image
bfloat16
8k
Replaced
  • text-generation

Openchat 3.6 is a LLama-3-8b fine tune that outperforms it on multiple benchmarks.

openchat/openchat_3.5 cover image
fp16
8k
Replaced
  • text-generation

OpenChat is a library of open-source language models that have been fine-tuned with C-RLFT, a strategy inspired by offline reinforcement learning. These models can learn from mixed-quality data without preference labels and have achieved exceptional performance comparable to ChatGPT. The developers of OpenChat are dedicated to creating a high-performance, commercially viable, open-source large language model and are continuously making progress towards this goal.