inclusionAI/ZoomGain-4B-GGUF

Brief overview

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.

Article

GGUF-format weights for ZoomGain-4B, converted with llama.cpp.

Language model: FP16, Q8_0, Q4_K_M.
Vision encoder and projector (mmproj): FP16, Q8_0, Q4_K_M.

For image input, provide both the language model and the corresponding mmproj file.

CLI Inference (`llama-mtmd-cli`)

llama-mtmd-cli \
  -m ZoomGain-4B-Q8_0.gguf \
  --mmproj mmproj-ZoomGain-4B-Q8_0.gguf \
  --image /path/to/image.jpg \
  -p "Describe this image." \
  --temp 0 -n 2048

Web Chat (`llama-server`)

llama-server \
  -m ZoomGain-4B-Q8_0.gguf \
  --mmproj mmproj-ZoomGain-4B-Q8_0.gguf \
  --host 127.0.0.1 --port 8080

Replace Q8_0 with F16 or Q4_K_M to use another precision. Use a llama.cpp build with Qwen3.5 multimodal support. Quantization can affect accuracy.

inclusionAI/ZoomGain-4B-GGUF

CLI Inference (llama-mtmd-cli)

Web Chat (llama-server)

CLI Inference (`llama-mtmd-cli`)

Web Chat (`llama-server`)