97 articles
ALBERT (language model)
ALBERT is a transformer-based language model architecture that reduces BERT-style encoder parameters through factorized embeddings and cross-layer sharing, reported in 2019 and released as open source.
Aquila (model family)
Aquila is a family of open bilingual Chinese and English large language models developed by the Beijing Academy of Artificial Intelligence, first released in 2023.
Baichuan (百川) (model family)
Baichuan (百川) is a family of large language models released by the Chinese startup Baichuan Intelligence, founded by Sogou's Wang Xiaochuan, starting with the open-weight Baichuan-7B in June 2023.
BitNet (1.58-bit model family)
BitNet is a Microsoft Research family of large language models with ternary weights of -1, 0, and +1, trained natively in that format rather than quantized afterward.
BLOOM
BLOOM is a 176B-parameter open-access large language model released in July 2022 by BigScience, a Hugging Face-led collaboration, generating text in 46 natural and 13 programming languages.
ByT5
ByT5 is a family of pre-trained, tokenizer-free encoder-decoder language models introduced by Google researchers in 2021, which process text directly as raw UTF-8 bytes instead of tokens.
ChemBERTa
ChemBERTa is a family of transformer language models that treat SMILES molecular strings as text, introduced in 2020 within the DeepChem project for property prediction tasks.
Command A+
Command A+ is Cohere's flagship enterprise large language model, released on May 20, 2026 as the company's first Mixture-of-Experts architecture and its first fully Apache 2.0 open-weights release.
Command R+
Command R+ is a 104-billion-parameter, open-weights large language model from Cohere, released in April 2024 and optimized for retrieval-augmented generation with citations and multi-step tool use in enterprise workloads.
DBRX
DBRX is an open-weight mixture-of-experts large language model released by Databricks on March 27, 2024, with 132 billion total parameters and 36 billion active per input.
DeepSeek (model family)
DeepSeek is a family of open-weight large language models built on mixture-of-experts architecture, spanning DeepSeekMoE, V2, V3, and the reasoning models R1 and R1-Zero, published across 2024 and January 2025.
DeepSeek V3.2 release
DeepSeek V3.2 is an open-weight large language model released by the Chinese AI lab DeepSeek on December 1, 2025, whose new sparse-attention mechanism cuts long-context costs while holding quality level with the previous version.
DeepSeek V4 release
DeepSeek V4 is a pair of open-weight mixture-of-experts language models, DeepSeek-V4-Pro and DeepSeek-V4-Flash, released by the Chinese AI lab DeepSeek in April 2026 under the MIT license with million-token context windows.
DeepSeek-R1
DeepSeek-R1 is an open-weight reasoning model released by China's DeepSeek lab in January 2025, trained with reinforcement learning to match OpenAI's o1 and downloadable under the MIT license.
DeepSeek-V3
DeepSeek-V3 is an open-weight Mixture-of-Experts large language model with 671 billion total parameters, 37 billion active per token, released in December 2024 by the Chinese AI lab DeepSeek.
Endeavor 1.0
Endeavor 1.0 is a closed-source large language model released by Flower Labs, a Cambridge University spinout, on September 1, 2026, designed for reasoning, coding, and long-horizon agent work.
ERNIE 4.5 open-weight release
Baidu's June 30, 2025 open-weight release of ten ERNIE 4.5 multimodal models, 0.3B to 424B parameters, on Hugging Face under the permissive Apache License 2.0.
Exaone (model family)
EXAONE is a family of large language models from LG AI Research, spanning bilingual English-Korean, reasoning, Mixture-of-Experts, and vision-language models released from 2024 to 2026.
Falcon (model family)
Falcon is a family of open-weight large language models developed by the Technology Innovation Institute in Abu Dhabi, first unveiled in March 2023 and expanded through 2026.
FinBERT
FinBERT is a BERT-based language model family adapted to finance, used chiefly for sentiment analysis of financial text, first released by Dogu Araci in 2019.
FinGPT
FinGPT is an open-source project for financial large language models by the AI4Finance Foundation, introduced in a 2023 paper as an alternative to proprietary systems like BloombergGPT.
GatorTron
GatorTron is a family of large clinical language models from the University of Florida and NVIDIA, trained on over 90 billion words of text, mostly de-identified clinical notes.
Gemma (language model)
Gemma, also known as Google Gemma, is a family of lightweight, open-weight language models from Google, built from the same technology as Gemini and first released in 2024.
Gemma 3
Gemma 3 is a family of small, open-weight multimodal language models released by Google on March 12, 2025, in 1B, 4B, 12B, and 27B sizes.
Gemma 3n
Gemma 3n is a family of open-weight multimodal language models from Google DeepMind, designed to run locally on phones, tablets, and laptops and released in 2025 in E2B and E4B sizes.
Gemma 4
Gemma 4 is a family of open-weight, natively multimodal large language models from Google DeepMind, released March 31, 2026 in sizes from 2B to 31B under Apache 2.0.
GLM (model family)
GLM (General Language Model) is a family of large language models developed by the Chinese lab Zhipu AI, first released as an open bilingual model in 2022.
GLM open-weight releases
GLM open-weight releases are the publicly downloadable checkpoints in Zhipu AI's GLM large language model family, running from GLM-130B in October 2022 to GLM-5.3-Flash in 2026.
GLM-4
GLM-4 is a family of large language models released by the Chinese AI company Zhipu AI on January 16, 2024, as the fourth generation of its GLM line.
GLM-4.5
GLM-4.5 is an open-weight Mixture-of-Experts large language model released by Z.ai (Zhipu AI) in July 2025, positioned for agentic workflows and shipped in 355B and 106B-parameter sizes under the MIT license.