MiniCPM-V 4.6
Collection
MLX variants of MiniCPM-V 4.6, 1.3B parameters (SigLIP2 400M vision encoder + Qwen3.5-0.8B LLM), repo: https://huggingface.co/openbmb/MiniCPM-V-4.6 • 7 items • Updated • 1
How to use from
Hermes AgentConfigure Hermes
# Install Hermes:
curl -fsSL https://hermes-agent.nousresearch.com/install.sh | bash
hermes setup# Point Hermes at the local server:
hermes config set model.provider custom
hermes config set model.base_url http://127.0.0.1:8080/v1
hermes config set model.default mlx-community/MiniCPM-V-4.6-bf16Run Hermes
hermesQuick Links
mlx-community/MiniCPM-V-4.6-bf16
This model was converted to MLX format from openbmb/MiniCPM-V-4.6
using mlx-vlm version 0.4.5.
Refer to the original model card for more details on the model.
Use with mlx
pip install -U mlx-vlm
python -m mlx_vlm.generate --model mlx-community/MiniCPM-V-4.6-bf16 --max-tokens 100 --temperature 0.0 --prompt "Describe this image." --image <path_to_image>
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Model size
1B params
Tensor type
BF16
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Hardware compatibility
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Base model
openbmb/MiniCPM-V-4.6
Start the MLX server
# Install MLX LM: uv tool install mlx-lm# Start a local OpenAI-compatible server: mlx_lm.server --model "mlx-community/MiniCPM-V-4.6-bf16"