deploy both qwen3.6 versions
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@@ -23,13 +23,13 @@ data:
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litellm_params:
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model: "anthropic/claude-sonnet-5"
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api_key: "os.environ/ANTHROPIC_API_KEY"
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- model_name: gemini-3-flash
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- model_name: gemini-3.6-flash
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litellm_params:
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model: gemini/gemini-3-flash-preview
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model: gemini/gemini-3.6-flash
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api_key: "os.environ/GEMINI_API_KEY"
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- model_name: tencent/hy3:free
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- model_name: tencent/hy3
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litellm_params:
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model: openrouter/tencent/hy3:free
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model: openrouter/tencent/hy3
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api_key: "os.environ/OPENROUTER_API_KEY"
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- model_name: z-ai/glm-5.2
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litellm_params:
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@@ -41,13 +41,20 @@ data:
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api_base: http://10.88.20.12:11434
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# Used by the platform-engineer Hermes agent (deployed in ns platform-engineer).
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# Served by llama.cpp (llama-server, Vulkan on the NUCBox APU) — see
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# llamacpp/deployment-qwen36.yaml. Thinking is left ON; reasoning comes
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# back in `reasoning_content` (llama-server --jinja + default reasoning
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# format). The alias `qwen3.6` is unchanged so Hermes keeps working.
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- model_name: qwen3.6
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# llamacpp/deployment-qwen36-27b.yaml. Thinking is left ON; reasoning comes
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# back in `reasoning_content` (llama-server --jinja + default reasoning format).
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- model_name: qwen3.6-27b
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litellm_params:
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model: openai/qwen3.6
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api_base: http://llamacpp-qwen36.llamacpp/v1
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model: openai/qwen3.6-27b
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api_base: http://llamacpp-qwen36-27b.llamacpp/v1
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api_key: "sk-no-auth"
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# Faster "flash" variant: Qwen3.6-35B-A3B is a MoE (3B active params), so
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# inference is much faster than the dense 27B despite more total weights.
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# See llamacpp/deployment-qwen36-36b-a3b.yaml.
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- model_name: qwen3.6-36b-a3b
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litellm_params:
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model: openai/qwen3.6-36b-a3b
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api_base: http://llamacpp-qwen36-36b-a3b.llamacpp/v1
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api_key: "sk-no-auth"
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litellm_settings:
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#set_verbose: True # Uncomment this if you want to see verbose logs; not recommended in production
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