LLM Models
Browse the world's large language models. Compare parameters, benchmarks, VRAM and more.
A cute robot wearing a kimono writes calligraphy with one single brush — Stable Diffusion XL
CADD-Base-7B is a masked diffusion language model for code generation, augmented with Continuously Augmented Discrete Diffusion (CADD) --- a continuous flow-matching signal that guides the discrete denoising process.
1. Model Summary 2. How to use 3. Evaluation 4. Training 5. Limitations 6. License
SEA-LION is a collection of Large Language Models (LLMs) which has been pretrained and instruct-tuned for the Southeast Asia (SEA) region. The size of the models range from 3 billion to 7 billion parameters. This is the card for the SEA-LION 7B Instruct (Non-Commercial) model.
CodeGen is a family of autoregressive language models for program synthesis from the paper: A Conversational Paradigm for Program Synthesis by Erik Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu, Huan Wang, Yingbo Zhou, Silvio Savarese, Caiming Xiong. The models are originally releas…
Aquila Language Model is the first open source language model that supports both Chinese and English knowledge, commercial license agreements, and compliance with domestic data regulations.
SynLogic Zero-Mix-3: Large-Scale Multi-Domain Reasoning Model
StableLM-Base-Alpha-3B-v2 is a 3 billion parameter decoder-only language model pre-trained on diverse English datasets. This model is the successor to the first StableLM-Base-Alpha-3B model, addressing previous shortcomings through the use of improved data sources and mixture rat…
0. TL;DR 1. Model Details 2. Training Details 3. Usage 4. Evaluation 5. Citation
AHN: Artificial Hippocampus Networks for Efficient Long-Context Modeling
📖 Paper 🏠 Github 🤗 Spatial-SSRL-7B Model 🤗 Spatial-SSRL-3B Model 🤗 Spatial-SSRL-Qwen3VL-4B Model 🤗 Spatial-SSRL-81k Dataset 📰 Daily Paper
Authors: Erik Nijkamp\ , Hiroaki Hayashi\ , Yingbo Zhou, Caiming Xiong