VLM migration: qwen3.5-9b-vlm → gemma-4-12b across entire harness
- router/router.py: model ID, context window (131K→262K), VRAM comment - litellm_config.yaml: model name updated - gpu-router.conf, gpu-router-docker.conf: pool names, comments - dashboard/dashboard.py: MODELS array refactor for single-point config - README.md: architecture diagram, model table
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@@ -11,9 +11,9 @@ model_list:
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api_base: http://192.168.68.8:8080/v1
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api_key: "not-needed"
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- model_name: qwen3.5-9b-vlm
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- model_name: gemma-4-12b
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litellm_params:
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model: openai/qwen3.5-9b-vlm
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model: openai/gemma-4-12b
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api_base: http://192.168.68.110:8080/v1
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api_key: "not-needed"
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