LLM Models
Browse the world's large language models. Compare parameters, benchmarks, VRAM and more.
[!IMPORTANT] ❗ This repo requires the use of the macOS Sequoia (15) Developer Beta to utilize the latest and greatest CoreML has to offer! Sign up for the Apple Beta Software Program here to get access. Check out the companion blog post to learn more about what's new in iOS 18 &…
WARNING: This is an intermediary checkpoint and WIP project. It is not fully trained yet. You might want to use Bloom-1B3 if you want a model that has completed training. This model is a distilled version of Bloom-1B3
WARNING: This is an intermediary checkpoint and WIP project. It is not fully trained yet. You might want to use Bloom-1B3 if you want a model that has completed training. This model is a distilled version of Bloom-1B3 (10x distillation)
BaichuanMed-OCR-72B is a model fine-tuned from the Qwen2.5-VL-72B-Instruct with our constructed and curated medical report datasets consists of medical report images and related questions and answers (QAs). It has been specifically adapted to perform Optical Character Recognition…
Model Card for Gemma-SEA-LION-v4-27B-IT-NVFP4
This model is based on LLaVA1.5-7b. The model is finetuned with LoRA on OpenCOLE1.0 dataset to generate text layouts.
Qwen-SEA-LION-v4-32B-IT-8BIT (GPTQ model)
Model Card for Gemma-SEA-LION-v4-27B-IT-FP8-Dynamic
WangchanLION is a joint effort between VISTEC and AI Singapore to develop a Thai-specific collection of Large Language Models (LLMs), pre-trained for Southeast Asian (SEA) languages, and instruct-tuned specifically for the Thai language.
WangchanLION is a joint effort between VISTEC and AI Singapore to develop a Thai-specific collection of Large Language Models (LLMs), pre-trained for Southeast Asian (SEA) languages, and instruct-tuned specifically for the Thai language.
SEA-LION is a collection of Large Language Models (LLMs) which has been pretrained and instruct-tuned for the Southeast Asia (SEA) region. The sizes of the models range from 3 billion to 7 billion parameters.