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Add qwen models
Signed-off-by: Demis Bellot <demis.bellot@gmail.com>
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AiServer/wwwroot/lib/data/ai-models.json

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"description": "QwQ is an experimental research model focused on advancing AI reasoning capabilities.",
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"icon": "/img/models/qwen.svg"
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},
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{
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"id": "qwen-turbo",
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"tags": [
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"14b"
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],
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"latest": "14b",
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"website": "https://openrouter.ai/qwen/qwen-turbo",
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"description": "Qwen-Turbo, based on Qwen2.5, is a 1M context model that provides fast speed and low cost, suitable for simple tasks.",
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"icon": "/img/models/qwen.svg"
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},
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{
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"id": "qwen-plus",
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"tags": [
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"72b"
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],
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"latest": "72b",
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"website": "https://openrouter.ai/qwen/qwen-plus",
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"description": "Qwen-Plus, based on the Qwen2.5 foundation model, is a 131K context model with a balanced performance, speed, and cost combination.",
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"icon": "/img/models/qwen.svg"
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},
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{
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"id": "qwen-max",
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"tags": [
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"100b"
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],
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"latest": "72b",
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"website": "https://openrouter.ai/qwen/qwen-max",
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"description": "Qwen-Max, based on Qwen2.5, provides the best inference performance among Qwen models, especially for complex multi-step tasks. It's a large-scale MoE model that has been pretrained on over 20 trillion tokens and further post-trained with curated Supervised Fine-Tuning (SFT) and Reinforcement Learning from Human Feedback (RLHF) methodologies.",
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"icon": "/img/models/qwen.svg"
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},
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{
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"id": "samantha-mistral",
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"tags": [

AiServer/wwwroot/lib/data/ai-types.json

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"qwen2-5:7b": "qwen/qwen-2.5-7b-instruct",
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"qwen2-5:72b": "qwen/qwen-2.5-72b-instruct",
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"qwen2.5-coder:32b": "qwen/qwen-2.5-coder-32b-instruct",
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"qwen-turbo": "qwen/qwen-turbo",
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"qwen-plus": "qwen/qwen-plus",
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"qwen-max": "qwen/qwen-max",
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"qwq:32b": "qwen/qwq-32b-preview",
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"wizardlm2:7b": "microsoft/wizardlm-2-7b",
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"wizardlm2:8x22b": "microsoft/wizardlm-2-8x22b",

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