I built a Space that lets you switch between all three Qwen3.5 official collection models in a single interface.
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I built a Space that lets you switch between all three Qwen3.5 official collection models in a single interface.
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https://huggingface.co/spaces/MAYA-AI/QWEN-3_5-CHAT
MAYA-AI/QWEN-3_5-CHAT
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https://huggingface.co/spaces/MAYA-AI/QWEN-3_5-CHAT
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The architecture is the key part. Instead of using Gradio as the UI, I use it purely as an API engine. FastAPI serves a fully custom HTML/JS frontend that calls /gradio_api/call/chat via SSE streaming. No DOM conflicts, no layout constraints.
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The architecture is the key part. Instead of using Gradio as the UI, I use it purely as an API engine. FastAPI serves a fully custom HTML/JS frontend that calls /gradio_api/call/chat via SSE streaming. No DOM conflicts, no layout constraints.
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Four main features: instant model switching with automatic spec adjustment (max tokens, temperature ceiling, Vision availability all update per model), Thinking Mode via /think prefix with collapsible reasoning chain, Vision image upload via base64 conversion, and HF OAuth implemented directly at the FastAPI level.
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Four main features: instant model switching with automatic spec adjustment (max tokens, temperature ceiling, Vision availability all update per model), Thinking Mode via /think prefix with collapsible reasoning chain, Vision image upload via base64 conversion, and HF OAuth implemented directly at the FastAPI level.
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For model selection: 122B-A10B with Thinking Mode for math, logic, and agents. 27B for writing, translation, and instruction following. 35B-A3B for fast everyday questions.
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For model selection: 122B-A10B with Thinking Mode for math, logic, and agents. 27B for writing, translation, and instruction following. 35B-A3B for fast everyday questions.
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A few surprises during development — Gradio 6.x removed several parameters quietly, base64 image strings broke gr.Image(type="pil") so I switched to gr.Textbox with backend PIL conversion, and Thinking Mode parsing needed a full rewrite with indexOf instead of regex.
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A few surprises during development — Gradio 6.x removed several parameters quietly, base64 image strings broke gr.Image(type="pil") so I switched to gr.Textbox with backend PIL conversion, and Thinking Mode parsing needed a full rewrite with indexOf instead of regex.
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Thanks to the Qwen team for making this possible. Try it out and let me know what you think.
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Thanks to the Qwen team for making this possible. Try it out and let me know what you think.
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#Qwen3 #Qwen35 #OpenSourceAI #HuggingFace #LLM #ThinkingAI  #vidraft #MultimodalAI
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#Qwen3 #Qwen35 #OpenSourceAI #HuggingFace #LLM #ThinkingAI  #vidraft #MultimodalAI
I built a Space that lets you switch between all three Qwen3.5 official collection models in a single interface.

https://huggingface.co/spaces/MAYA-AI/QWEN-3_5-CHAT

The architecture is the key part. Instead of using Gradio as the UI, I use it purely as an API engine. FastAPI serves a fully custom HTML/JS frontend that calls /gradio_api/call/chat via SSE streaming. No DOM conflicts, no layout constraints.

Four main features: instant model switching with automatic spec adjustment (max tokens, temperature ceiling, Vision availability all update per model), Thinking Mode via /think prefix with collapsible reasoning chain, Vision image upload via base64 conversion, and HF OAuth implemented directly at the FastAPI level.

For model selection: 122B-A10B with Thinking Mode for math, logic, and agents. 27B for writing, translation, and instruction following. 35B-A3B for fast everyday questions.

A few surprises during development — Gradio 6.x removed several parameters quietly, base64 image strings broke gr.Image(type="pil") so I switched to gr.Textbox with backend PIL conversion, and Thinking Mode parsing needed a full rewrite with indexOf instead of regex.

Thanks to the Qwen team for making this possible. Try it out and let me know what you think.

#Qwen3 #Qwen35 #OpenSourceAI #HuggingFace #LLM #ThinkingAI  #vidraft #MultimodalAI
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