inclusionAI releases ZoomGain-9B-GGUF model weights

1. 11:16
   Ant Group inclusionAI · Hugging Face new models

   inclusionAI/ZoomGain-9B-GGUF Released GGUF Format Weights

   The GGUF format weights for inclusionAI/ZoomGain-9B have been released, converted using llama.cpp, with the language model in FP16, Q8_0, Q4_K_M. The visual encoder and projector (mmproj) also adopt this quantization scheme. Both the language model and mmproj files need to be provided for image input, supporting CLI inference (llama-mtmd-cli) and Web Chat (llama-server) deployment.

2. 11:09
   Ant Group inclusionAI · Hugging Face new models

   inclusionAI/ZoomGain-4B-GGUF released: Multimodal model supporting image input

   inclusionAI/ZoomGain-4B-GGUF is a 175B parameter multimodal model supporting image input, using FP16, Q8_0, and Q4_K_M precision quantization. The model includes a language model and mmproj visual encoder/projector, converted to GGUF format via llama.cpp. It provides llama-mtmd-cli for command-line inference and llama-server for network chat functionality.

1. 19:38
   Ant Group inclusionAI · Hugging Face new models

   inclusionAI/ZoomGain-4B released: A fine-grained visual supervision model based on global-to-local visual perception gaps

   inclusionAI has released the ZoomGain-4B large language model, achieving a score of 61.08 on ZoomGainBench and performing excellently on multiple fine-grained perception and general perception benchmark tests; the model is built with supervision based on the global-to-local visual perception gap mined from global image details, supporting English and Chinese Q&A, and can be downloaded via Hugging Face.

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