LLM Models
Browse the world's large language models. Compare parameters, benchmarks, VRAM and more.
Model Summary: Granite-4.0-Micro-Base is a decoder-only, long-context language model designed for a wide range of text-to-text generation tasks. It also supports Fill-in-the-Middle (FIM) code completion through the use of specialized prefix and suffix tokens. The model is trained…
Model Summary: Granite-4.0-H-350M is a lightweight instruct model finetuned from Granite-4.0-H-350M-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 tec…
[!Tip] This model was contributed by Xenova from Hugging Face. We sincerely appreciate the integration and community collaboration. While preliminary functionality checks have been performed, comprehensive testing has not yet been completed. We recommend you to proceed with cauti…
A balanced model in the Ministral 3 family, Ministral 3 8B is a powerful, efficient tiny language model with vision capabilities.
The smallest model in the Ministral 3 family, Ministral 3 3B is a powerful, efficient tiny language model with vision capabilities.
A balanced model in the Ministral 3 family, Ministral 3 8B is a powerful, efficient tiny language model with vision capabilities.
Model Summary: Granite-4.1-3B is a 3B parameter long-context instruct model finetuned from Granite-4.1-3B-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 impr…
A Pocket-Sized MLLM for Ultra-Efficient Image and Video Understanding on Your Phone
This repository hosts the bitsandbytes (NF4, 4-bit) quantized version of MiniCPM-V 4.6 Thinking. For the original BF16 weights and the full model card, please refer to openbmb/MiniCPM-V-4.6-Thinking.
This repository hosts the AWQ (W4A16, AutoAWQ) quantized version of MiniCPM-V 4.6 Thinking. For the original BF16 weights and the full model card, please refer to openbmb/MiniCPM-V-4.6-Thinking.
This repository hosts the AWQ (W4A16, AutoAWQ) quantized version of MiniCPM-V 4.6. For the original BF16 weights and the full model card, please refer to openbmb/MiniCPM-V-4.6.
Model Summary: Granite‑4.1‑3B‑Base is a decoder‑only language model with long‑context capabilities, designed to support a broad range of general text‑to‑text generation tasks, as well as fill‑in‑the‑Middle (FIM) code completion. This model shares the same underlying architecture…