AI Agent Hub

LLM Models

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

1,877 models Compare
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SAIL-7B
ByteDance-Seed

[\[📂 GitHub\]](https://github.com/bytedance/SAIL) [\[📜 paper\]](https://arxiv.org/abs/2504.10462) [\[🚀 Quick Start\]]( quick-start)

Open Source 7.0B ↓ 73
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Swallow-MX-8x7b-NVE-v0.1
tokyotech-llm

Our Swallow-MX-8x7b-NVE-v0.1 model has undergone continuous pre-training from the Mixtral-8x7B-Instruct-v0.1, primarily with the addition of Japanese language data.

Open Source 7.0B ↓ 72
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markupdm
cyberagent

Multimodal Markup Document Models (MarkupDM)

Open Source ↓ 72
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llama-3-youko-70b-instruct
rinna

Llama 3 Youko 70B Instruct (rinna/llama-3-youko-70b-instruct)

Open Source 70.0B ↓ 72
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Llama-3-Swallow-70B-Instruct-v0.1
tokyotech-llm

Llama3 Swallow - Built with Meta Llama 3

Open Source 70.0B ↓ 71
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test-bloomd-6b3
bigscience

Open Source ↓ 71
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AI21-Jamba-Large-1.5
ai21labs

Open Source ↓ 71
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Llama-3.1-70B-Japanese-Instruct-2407
cyberagent

This is a Japanese continually pre-trained model based on meta-llama/Meta-Llama-3.1-70B-Instruct.

Open Source 70.0B ↓ 70
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UI-TARS-72B-SFT
ByteDance-Seed

UI-TARS-72B-SFT UI-TARS-2B-SFT     UI-TARS-7B-SFT     UI-TARS-7B-DPO (Recommended)     UI-TARS-72B-SFT     UI-TARS-72B-DPO (Recommended) Introduction

Open Source 72.0B ↓ 70
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Swallow-7b-NVE-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 7.0B ↓ 68
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Qwen3-Swallow-30B-A3B-CPT-v0.2
tokyotech-llm

Qwen3-Swallow v0.2 is a family of large language models available in 8B , 30B-A3B , and 32B parameter sizes. Built as bilingual Japanese-English models, they were developed through Continual Pre-Training (CPT), Supervised Fine-Tuning (SFT), and Reinforcement Learning with Verifia…

Open Source 30.0B ↓ 67
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CodeLlama-7b-Python-hf
meta-llama

Code 7.0B ↓ 66