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Falcon-7B-Instruct is a 7B parameters causal decoder-only model built by TII based on Falcon-7B and finetuned on a mixture of chat/instruct datasets. It is made available under the Apache 2.0 license.

Falcon-40B-Instruct is a 40B parameters causal decoder-only model built by TII based on Falcon-40B and finetuned on a mixture of Baize. It is made available under the Apache 2.0 license.

BloomZ 7b1 is an instruction-tuned model based on Bloom 7b1 and thus capable of performing various zero-shot natural language processing tasks, as well as the few-shot in-context learning tasks. With appropriate prompt, it can perform zero-shot NLP tasks such as text summarization, common sense reasoning, natural language inference, question and answering, sentence/sentiment classification, translation, and pronoun resolution.

Falcon-7B is a 7B parameters causal decoder-only model built by TII and trained on 1,500B tokens of RefinedWeb enhanced with curated corpora. It is made available under the Apache 2.0 license.

As part of OpenChatKit, GPT-NeoXT-Chat-Base-20B-v0.16 is a 20B parameter language model, fine-tuned from EleutherAI's GPT-NeoX with over 40 million instructions on 100% carbon negative compute.

Prompt Guard is a classifier model trained on a large corpus of attacks, capable of detecting both explicitly malicious prompts as well as data that contains injected inputs.

Falcon-40B is a 40B parameters causal decoder-only model built by TII and trained on 1,000B tokens of RefinedWeb enhanced with curated corpora. It is made available under the Apache 2.0 license.

Falcon2-11B is a 11B parameters causal decoder-only model built by TII and trained on over 5,000B tokens of RefinedWeb enhanced with curated corpora.

EXAONE Atelier Image to Text model is a zero-shot image captioning model that is trained with 3.5 million images and text data, built upon LG AI Research's commercially licensed datasets.

Llama 3 from Meta. Llama 3 family comes as 8B and 70B with pretrained and instruct versions. Available in us-east-1 (N. Virginia), us-east-2 (Ohio), us-west-2 (Oregon), eu-west-1 (Ireland) and ap-northeast-1 (Tokyo).

70B variant of Llama 2 models. Llama 2 is an auto-regressive language model that uses an optimized transformer architecture. Llama 2 is intended for commercial and research use in English. It comes in a range of parameter sizes—7 billion, 13 billion, and 70 billion—as well as pre-trained and fine-tuned variations.

7B variant of Llama 2 models. Llama 2 is an auto-regressive language model that uses an optimized transformer architecture. Llama 2 is intended for commercial and research use in English. It comes in a range of parameter sizes—7 billion, 13 billion, and 70 billion—as well as pre-trained and fine-tuned variations.