inclusionAI/ZoomGain-9B-GGUF 发布 GGUF 格式权重

inclusionAI/ZoomGain-9B-GGUF

要点速览

inclusionAI/ZoomGain-9B 的 GGUF 格式权重已发布，使用 llama.cpp 转换，语言模型为 FP16、Q8_0、Q4_K_M，视觉编码器和投影器（mmproj）同样采用该量化方案。需同时提供语言模型和 mmproj 文件进行图像输入，支持 CLI 推理（llama-mtmd-cli）和 Web Chat（llama-server）部署。

正文

GGUF-format weights for ZoomGain-9B, 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-9B-Q8_0.gguf \
  --mmproj mmproj-ZoomGain-9B-Q8_0.gguf \
  --image /path/to/image.jpg \
  -p "Describe this image." \
  --temp 0 -n 2048

Web Chat (`llama-server`)

llama-server \
  -m ZoomGain-9B-Q8_0.gguf \
  --mmproj mmproj-ZoomGain-9B-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-9B-GGUF 发布 GGUF 格式权重

CLI Inference (llama-mtmd-cli)

Web Chat (llama-server)

CLI Inference (`llama-mtmd-cli`)

Web Chat (`llama-server`)