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OPT vs. StableLM

LLM Comparison


OPT

OPT

Overview

Open Pre-trained Transformer Language Models (OPT) is part of the family of open source models designed to replicate GPT-3, with similar decoder-only architecture. It has since been superseded by models such as LLaMA, GPT-J, and Pythia.



Initial release: 2022-05-03

Further Reading

StableLM

StableLM

Overview

The StableLM series of language models is Stability AI's entry into the LLM space. Trained on The Pile, the initial release included 3B and 7B parameter models with larger models on the way.



Initial release: 2023-04-19

Looking for an LLM API/SDK that works out of the box? No prompts or ad hoc guardrails.

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More Comparisons

OPT

StableLM
Products & Features
Instruct Models
Coding Capability
Customization
Finetuning
Open Source
License NA CC BY-SA 4.0
Model Sizes 1.3B, 2.7B, 6.7B, 13B, 30B, 66B, 175B 3B, 7B

Other OPT Comparisons

OPT vs. Alpaca OPT vs. Cerebras-GPT OPT vs. Dolly OPT vs. Falcon OPT vs. FastChat OPT vs. FLAN-T5 OPT vs. FLAN-UL2 OPT vs. Gemma OPT vs. Gemma 2 OPT vs. GPT-J OPT vs. GPT4All OPT vs. GPTNeo OPT vs. Grok OPT vs. Guanaco OPT vs. Koala OPT vs. LLaMA OPT vs. Llama 2 OPT vs. Llama 3 OPT vs. Mistral OPT vs. MPT OPT vs. OpenAssistant OPT vs. OpenLLaMA OPT vs. Orca OPT vs. Phi OPT vs. Pythia OPT vs. RedPajama-INCITE OPT vs. StableLM OPT vs. StableVicuna OPT vs. Vicuna OPT vs. WizardLM

Other StableLM Comparisons

StableLM vs. Alpaca StableLM vs. Cerebras-GPT StableLM vs. Dolly StableLM vs. Falcon StableLM vs. FastChat StableLM vs. FLAN-T5 StableLM vs. FLAN-UL2 StableLM vs. Gemma StableLM vs. Gemma 2 StableLM vs. GPT-J StableLM vs. GPT4All StableLM vs. GPTNeo StableLM vs. Grok StableLM vs. Guanaco StableLM vs. Koala StableLM vs. LLaMA StableLM vs. Llama 2 StableLM vs. Llama 3 StableLM vs. Mistral StableLM vs. MPT StableLM vs. OpenAssistant StableLM vs. OpenLLaMA StableLM vs. OPT StableLM vs. Orca StableLM vs. Phi StableLM vs. Pythia StableLM vs. RedPajama-INCITE StableLM vs. StableVicuna StableLM vs. Vicuna StableLM vs. WizardLM

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