LLM Models · Open Source
Browse the world's large language models. Compare parameters, benchmarks, VRAM and more.
The post-training data has a cutoff date of November 28, 2025\. The pre-training data has a cutoff date of June 25, 2025\.
MiniCPM Tech Report MiniCPM Wiki(Chinese) GitHub Repo UltraData MiniCPM Desk Pet Online Demo
Model Summary: Granite-4.1-30B is a 30B parameter long-context instruct model finetuned from Granite-4.1-30B-Base using a combination of open source instruction datasets with permissive license and internally collected synthetic datasets. Granite 4.1 models have gone through an i…
The post-training data has a cutoff date of November 28, 2025\. The pre-training data has a cutoff date of June 25, 2025\.
NVIDIA-Nemotron-3-Nano-30B-A3B-Base-BF16
--- --- Developers Granite Team, IBM Model Type Decoder-only Dense Transformer (Reasoning) Architecture GraniteForCausalLM Base Model Granite-4.1-3B-Base Parameters 3B Context Length Natively Supports 128K (Long-context extension to 512K) Precision bfloat16 Tested Languages Engli…
Want a smaller model? Download Sarvam-30B!
Sarvam-1 is a 2-billion parameter language model specifically optimized for Indian languages. It provides best in-class performance in 10 Indic languages (bn, gu, hi, kn, ml, mr, or, pa, ta, te) when compared with popular models like Gemma-2-2B and Llama-3.2-3B. It is also compet…
MiniCPM Tech Report MiniCPM Wiki(Chinese) GitHub Repo UltraData MiniCPM Desk Pet Online Demo
MiniCPM Tech Report MiniCPM Wiki(Chinese) GitHub Repo UltraData MiniCPM Desk Pet Online Demo
Want a smaller model? Download Sarvam-30B!