AI Agent Hub

LLM Models · Open Source

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

1,253 models Compare
granite-4.0-1b-base logo
granite-4.0-1b-base
ibm-granite

Model Summary: Granite-4.0-1B-Base is a lightweight decoder-only language model designed for scenarios where efficiency and speed are critical. They can run on resource-constrained devices such as smartphones or IoT hardware, enabling offline and privacy-preserving applications.…

Open Source 1.6B ★ 2.0 ↓ 44.7K
granite-4.0-1b logo
granite-4.0-1b
ibm-granite

Model Summary: Granite-4.0-1B is a lightweight instruct model finetuned from Granite-4.0-1B-Base using a combination of open source instruction datasets with permissive license and internally collected synthetic datasets. This model is developed using a diverse set of techniques…

Open Source 1.0B ★ 2.0 ↓ 11.7K
LFM2-2.6B logo
LFM2-2.6B
LiquidAI

LFM2 is a new generation of hybrid models developed by Liquid AI, specifically designed for edge AI and on-device deployment. It sets a new standard in terms of quality, speed, and memory efficiency.

Open Source 2.6B ★ 2.0 ↓ 11.4K
granite-4.0-h-micro logo
granite-4.0-h-micro
ibm-granite

📣 Update [10-07-2025]: Added a default system prompt to the chat template to guide the model towards more professional, accurate, and safe responses.

Open Source 3.0B ★ 2.0 ↓ 7.9K
LFM2-2.6B-Longevity logo
LFM2-2.6B-Longevity
LiquidAI

Longevity-LLM - LFM2-2.6B Longevity-LLM (L-LLM) is a family of compact, domain-adapted language models for interpreting heterogeneous aging biology data. Longevity LFMs are available in two sizes:

Open Source 2.6B ★ 2.0 ↓ 2.1K
LFM2-8B-A1B logo
LFM2-8B-A1B
LiquidAI

LFM2 is a new generation of hybrid models developed by Liquid AI, specifically designed for edge AI and on-device deployment. It sets a new standard in terms of quality, speed, and memory efficiency.

Open Source 8.3B ★ 1.0 ↓ 17.7K
Apertus-SEA-LION-v4-8B-IT logo
Apertus-SEA-LION-v4-8B-IT
aisingapore

SEA-LION is a collection of Large Language Models (LLMs) which have been pretrained and instruct-tuned for the Southeast Asia (SEA) region.

Open Source 8.0B ★ 1.0 ↓ 268
Qwen3-0.6B logo
Qwen3-0.6B
Qwen

Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models. Built upon extensive training, Qwen3 delivers groundbreaking advancements in reasoning, instruction-following, agent capabilities,…

Open Source 0.6B ↓ 31.2M
Qwen3-8B logo
Qwen3-8B
Qwen

Qwen3 is the latest generation of large language models in Qwen series, offering a comprehensive suite of dense and mixture-of-experts (MoE) models. Built upon extensive training, Qwen3 delivers groundbreaking advancements in reasoning, instruction-following, agent capabilities,…

Open Source 8.0B ↓ 10.1M
Qwen2.5-7B-Instruct logo
Qwen2.5-7B-Instruct
Qwen

Qwen2.5 is the latest series of Qwen large language models. For Qwen2.5, we release a number of base language models and instruction-tuned language models ranging from 0.5 to 72 billion parameters. Qwen2.5 brings the following improvements upon Qwen2:

Open Source 7.0B ↓ 8.1M
Qwen2.5-0.5B-Instruct logo
Qwen2.5-0.5B-Instruct
Qwen

Qwen2.5 is the latest series of Qwen large language models. For Qwen2.5, we release a number of base language models and instruction-tuned language models ranging from 0.5 to 72 billion parameters. Qwen2.5 brings the following improvements upon Qwen2:

Open Source 0.5B ↓ 8M
Qwen2.5-1.5B-Instruct logo
Qwen2.5-1.5B-Instruct
Qwen

Qwen2.5 is the latest series of Qwen large language models. For Qwen2.5, we release a number of base language models and instruction-tuned language models ranging from 0.5 to 72 billion parameters. Qwen2.5 brings the following improvements upon Qwen2:

Open Source 1.54B ↓ 6.7M