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CYGDEN

CYGDEN
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liked a model 3 days ago
Lightricks/LTX-2.3
reacted to ronantakizawa's post with ๐Ÿ‘ 4 days ago
Introducing the github-codereview dataset: A compilation of 200k+ human-written code reviews from top OSS projects (React, Tensorflow, VSCode...). I finetuned a Qwen2.5-Coder-32B-Instruct model with this dataset and saw significant improvements in generating better code fixes and review comments (4x improved BLEU-4, ROUGE-L, SBERT scores compared to base model). #codereview #code #datasets https://huggingface.co/datasets/ronantakizawa/github-codereview
reacted to mayafree's post with ๐Ÿ‘ 6 days ago
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 โ€” 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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