LLM Models
Browse the world's large language models. Compare parameters, benchmarks, VRAM and more.
A Pocket-Sized MLLM for Ultra-Efficient Image and Video Understanding on Your Phone
This repository hosts the GPTQ (W4A16, GPTQModel) 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.
A GPT-4V Level MLLM for Single Image, Multi Image and Video on Your Phone
This repository hosts the bitsandbytes (NF4, 4-bit) 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.
This repository hosts the GPTQ (W4A16, GPTQModel) 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.
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.