AI Agent Hub

LLM Models · Open Source

Browse the world's large language models. Compare parameters, benchmarks, VRAM and more.

1,253 models Compare
ERNIE-4.5-21B-A3B-Base-Paddle logo
ERNIE-4.5-21B-A3B-Base-Paddle
baidu

[!NOTE] Note: " -Paddle " models use PaddlePaddle weights, while " -PT " models use Transformer-style PyTorch weights.

Open Source 21.0B ↓ 140
Baichuan2-7B-Chat-4bits logo
Baichuan2-7B-Chat-4bits
baichuan-inc

🦉GitHub 💬WeChat 百川API支持搜索增强和192K长窗口,新增百川搜索增强知识库、限时免费! 🚀 百川大模型在线对话平台 已正式向公众开放 🎉

Open Source 7.0B ↓ 140
youri-7b-instruction logo
youri-7b-instruction
rinna

Overview The model is the instruction-tuned version of rinna/youri-7b . It adopts the Alpaca input format.

Open Source 7.0B ↓ 138
bloom-petals logo
bloom-petals
bigscience

This model is a version of bigscience/bloom post-processed to be run at home using the Petals swarm.

Open Source ↓ 138
markupdm logo
markupdm
cyberagent

Multimodal Markup Document Models (MarkupDM)

Open Source ↓ 138
diafill-sarashina2.2-3b-instruct logo
diafill-sarashina2.2-3b-instruct
sbintuitions

Model Summary DiaFill is a Japanese dialogue script generation model designed to produce natural, spoken-style dialogue scripts rich in fillers and brief utternaces. Unlike typical assistant models that respond to users, this model is fine-tuned to generate a multi-turn dialogue…

Open Source 3.0B ↓ 136
mt0-xxl-mt logo
mt0-xxl-mt
bigscience

1. Model Summary 2. Use 3. Limitations 4. Training 5. Evaluation 7. Citation

Open Source ↓ 135
Swallow-70b-hf logo
Swallow-70b-hf
tokyotech-llm

Our Swallow model has undergone continual pre-training from the Llama 2 family, primarily with the addition of Japanese language data. The tuned versions use supervised fine-tuning (SFT). Links to other models can be found in the index.

Open Source 70.0B ↓ 134
AHN-GDN-for-Qwen-2.5-Instruct-7B logo
AHN-GDN-for-Qwen-2.5-Instruct-7B
ByteDance-Seed

AHN: Artificial Hippocampus Networks for Efficient Long-Context Modeling

Open Source 7.0B ↓ 134
Swallow-70b-NVE-instruct-hf logo
Swallow-70b-NVE-instruct-hf
tokyotech-llm

Our Swallow model has undergone continual pre-training from the Llama 2 family, primarily with the addition of Japanese language data. The tuned versions use supervised fine-tuning (SFT). Links to other models can be found in the index.

Open Source 70.0B ↓ 134
AHN-GDN-for-Qwen-2.5-Instruct-14B logo
AHN-GDN-for-Qwen-2.5-Instruct-14B
ByteDance-Seed

AHN: Artificial Hippocampus Networks for Efficient Long-Context Modeling

Open Source 14.0B ↓ 134
Klear-46B-A2.5B-Instruct logo
Klear-46B-A2.5B-Instruct
Kwai-Klear

🤗 Hugging Face 💻 Github Repository 📑 Technique Report 💬 Issues & Discussions

Open Source 46.0B ↓ 133