llm, attempt to fix decimal values which are supposed to be integers, fix some spacing.
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@@ -33,9 +33,9 @@
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zerocode: zerocode
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qwen_code: qwen-code
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# Good to keep low to prevent swap usage.
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llm_concurrency: "{{ ansible_memtotal_mb / 64000 | round(0, method='ceil') | int }}"
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llm_concurrency: "{{ (ansible_memtotal_mb / 64000) | round(0, method='ceil') | int }}"
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# Allow having multiple chats open without them just waiting each other.
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llm_parallel: "{{ ansible_processor_vcpus / 8 | round(0, method='ceil') | int }}"
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llm_parallel: "{{ (ansible_processor_vcpus / 8) | round(0, method='ceil') | int }}"
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# Most LLMs take a coefficient of about 1.2 to 1.5 of their file size in
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# RAM, which is usually less than guessing a usage of weight*1000.
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# Example:
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@@ -79,10 +79,10 @@
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- { "model": "qwen3.8:27b", "provider": "qwen_38_0270", "size_mb": 27000 }
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- { "model": "qwen3.6:35b", "provider": "qwen_36_0350", "size_mb": 35000 }
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### QWEN 3.5 - Good for generic usage and a little coding.
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- { "model": "qwen3.5:0.8b", "provider": "qwen_35_0008", "size_mb": "{{ llm_size_coef * 1200}}" }
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- { "model": "qwen3.5:2b", "provider": "qwen_35_0020", "size_mb": "{{ llm_size_coef * 2700}}" }
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- { "model": "qwen3.5:4b", "provider": "qwen_35_0040", "size_mb": "{{ llm_size_coef * 3300}}" }
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- { "model": "qwen3.5:9b", "provider": "qwen_35_0090", "size_mb": "{{ llm_size_coef * 6600}}" }
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- { "model": "qwen3.5:0.8b", "provider": "qwen_35_0008", "size_mb": "{{ llm_size_coef * 1200 }}" }
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- { "model": "qwen3.5:2b", "provider": "qwen_35_0020", "size_mb": "{{ llm_size_coef * 2700 }}" }
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- { "model": "qwen3.5:4b", "provider": "qwen_35_0040", "size_mb": "{{ llm_size_coef * 3300 }}" }
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- { "model": "qwen3.5:9b", "provider": "qwen_35_0090", "size_mb": "{{ llm_size_coef * 6600 }}" }
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# skip 27b and use 35b
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- { "model": "qwen3.5:35b", "provider": "qwen_35_0350", "size_mb": "{{ llm_size_coef * 22000 }}" }
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- { "model": "qwen3.5:122b", "provider": "qwen_35_1220", "size_mb": "{{ llm_size_coef * 81000 }}" }
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