LLM Models
Browse the world's large language models. Compare parameters, benchmarks, VRAM and more.
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We opensource our Aquila2 series, now including Aquila2 , the base language models, namely Aquila2-7B and Aquila2-34B , as well as AquilaChat2 , the chat models, namely AquilaChat2-7B and AquilaChat2-34B , as well as the long-text chat models, namely AquilaChat2-7B-16k and Aquila…
0. TL;DR 1. Model Details 2. Training Details 3. Usage 4. Evaluation 5. Citation
Model description xGen-MM is a series of the latest foundational Large Multimodal Models (LMMs) developed by Salesforce AI Research. This series advances upon the successful designs of the BLIP series, incorporating fundamental enhancements that ensure a more robust and superior…
Model Summary This is a 1.8B model trained on Cosmopedia synthetic dataset.
Building the Next Generation of Open-Source and Bilingual LLMs
OpenCALM is a suite of decoder-only language models pre-trained on Japanese datasets, developed by CyberAgent, Inc.
This model is based on the principles described in the paper Large Language Diffusion Models.
🤗 HuggingFace 📔 Technical Report
💻Github Repo • 🤔Reporting Issues • 📜Technical Report
Llama 3.3 Swallow is a large language model (70B) that was built by continual pre-training on the Meta Llama 3.3 model. Llama 3.3 Swallow enhanced the Japanese language capabilities of the original Llama 3.3 while retaining the English language capabilities. We use approximately…