Leading Open Source Large Language Models for Commercial Use

A selection of cutting-edge open-source Large Language Models (LLMs) stands ready for commercial deployment. These models, meticulously developed by various entities, promise exceptional performance across a spectrum of tasks.

Llama – 2

Meta has unleashed Llama 2, a suite of meticulously crafted and pre-trained LLMs, including Llama 2-Chat, tailored for dialogue scenarios. Scalable up to 70 billion parameters, these models outshine many counterparts in both safety and efficacy. The security of these models is ensured through rigorous testing, including data annotation and red-teaming exercises. Variants of Llama 2 cater to diverse parameter scales, further enhancing its versatility.

Project: https://huggingface.co/meta-llama

Paper: https://ai.meta.com/research/publications/llama-2-open-foundation-and-fine-tuned-chat-models/

Falcon

The Falcon series, pioneered by researchers from the Technology Innovation Institute, Abu Dhabi, offers models ranging from 7 billion to a whopping 180 billion parameters. Notably, Falcon-180B, trained on a dataset of over 3.5 trillion text tokens, demonstrates remarkable performance strides, rivaling even the most formidable models like PaLM-2-Large.

Project: https://huggingface.co/tiiuae/falcon-180B

Project: https://arxiv.org/pdf/2311.16867.pdf

Dolly 2.0

Databricks presents Dolly-v2-12b, a commercially geared LLM designed on the Databricks Machine Learning platform. Trained on a diverse corpus of instruction-response pairs, Dolly-v2 boasts exceptional proficiency across various domains, including open question-answering and summarization.

HF Project: https://huggingface.co/databricks/dolly-v2-12b

Github: https://github.com/databrickslabs/dolly#getting-started-with-response-generation

MPT

MosaicML introduces MPT-7B, a Transformer-based LLM trained on a colossal corpus of 1 trillion tokens. Remarkably, MPT-7B underwent training in a mere 9.5 days, showcasing unprecedented efficiency and cost-effectiveness.

HF Project: https://huggingface.co/mosaicml/mpt-7b

Github: https://github.com/mosaicml/llm-foundry/

FLAN – T5

Google’s FLAN – T5 presents an enhanced iteration of T5, exhibiting robust few-shot performance across diverse tasks. Notably, it rivals larger models like PaLM 62B in efficacy while emphasizing instruction fine-tuning as a key strategy for performance enhancement.

HF Project: https://huggingface.co/google/flan-t5-base

Paper: https://arxiv.org/pdf/2210.11416.pdf

GPT-NeoX-20B

EleutherAI unveils GPT-NeoX-20B, a colossal autoregressive LLM showcasing superior performance in knowledge-based tasks and language comprehension, even in few-shot scenarios.

HF Project: https://huggingface.co/EleutherAI/gpt-neox-20b

Paper: https://arxiv.org/pdf/2204.06745.pdf

Open Pre-trained Transformers (OPT)

Meta’s OPT initiative democratizes access to cutting-edge LLMs, offering a spectrum of decoder-limited models spanning parameter values from 125 million to 175 billion. OPT-175B, in particular, stands out for its performance parity with GPT-3 coupled with significantly reduced environmental impact during development.

HF Project: https://huggingface.co/facebook/opt-350m

Paper: https://arxiv.org/pdf/2205.01068.pdf

BLOOM

BigScience introduces BLOOM, a monumental 176 billion-parameter LLM adept at generating text sequences across a myriad of linguistic contexts, owing to its extensive training on the ROOTS corpus.

Paper: https://arxiv.org/pdf/2211.05100.pdf

HF Project: https://huggingface.co/bigscience/bloom

Baichuan

Baichuan Intelligence Inc. presents Baichuan 2, a robust open-source LLM boasting exceptional performance across credible benchmarks in both Chinese and English.

HF Project:https://huggingface.co/baichuan-inc/Baichuan2-13B-Chat#Introduction

BERT

Google’s BERT revolutionizes language understanding with its deep bidirectional representations, offering unparalleled versatility and adaptability across various natural language processing tasks.

Github: https://github.com/google-research/bert

Paper: https://arxiv.org/pdf/1810.04805.pdf

HF Project: https://huggingface.co/google-bert/bert-base-cased

Vicuna

MSYS delivers Vicuna-13B, an open-source chatbot model fine-tuned on user-shared conversations, exhibiting superior conversational capabilities and cost-effectiveness.

HF Project: https://huggingface.co/lmsys/vicuna-13b-delta-v1.1

Mistral

Mistral AI presents Mistral 7B v0.1, a state-of-the-art 7-billion-parameter LLM showcasing unmatched performance in logic, math, and coding domains.

HF Project: https://huggingface.co/mistralai/Mistral-7B-v0.1

Paper: https://arxiv.org/pdf/2310.06825.pdf

Gemma

Google’s Gemma series offers lightweight yet powerful LLMs tailored for text-to-text applications, demonstrating exceptional proficiency in tasks like summarization and question-answering.

HF Project: https://huggingface.co/google/gemma-2b-it

Phi-2

Microsoft introduces Phi-2, a Transformer model with 2.7 billion parameters exhibiting state-of-the-art performance across a range of benchmarks.

HF Project: https://huggingface.co/microsoft/phi-2

StarCoder2

The BigCode project unveils StarCoder2, a series of models trained on vast repositories of source code, showcasing remarkable proficiency in code-generation tasks.

Paper: https://arxiv.org/abs/2402.19173

HF Project: https://huggingface.co/bigcode

Mixtral

Mistral AI releases Mixtral 8x7B, a sparse mixture of expert models demonstrating exceptional performance and cost-effectiveness, particularly in code-generating tasks.

HF Project: https://huggingface.co/mistralai/Mixtral-8x7B-v0.1

Blog: https://mistral.ai/news/mixtral-of-experts/

These LLMs represent the forefront of open-source language model development, offering unparalleled versatility, efficacy, and accessibility for commercial applications.