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reacted to cihatyldz's post with 👍 about 1 hour ago
Şifahane, a dual-inference medical classification demo, is now live on Spaces. It features side-by-side Turkish BERT and Qwen2.5 architectures for real-time evaluation of the "Classifier vs. LLM" trade-offs, all within a single space. The system utilizes a fine-tuned Turkish BERT for high-speed, cost-effective inference and the Qwen2.5-7B model for flexible multi-task reasoning, with support for department classification, condition analysis, urgency assessment, and rationale generation across 12 medical departments. 🧠 BERT model: https://lnkd.in/dCUUASqq 📊 Dataset: https://lnkd.in/dGK9y24w 🤗 Demo: https://lnkd.in/dtWjCCPF
reacted to DavidAU's post with ❤️ 2 days ago
Uncensored, Heretic, Qwen 3.6 27B GGUFs - Exceeds all quant metrics and core model metrics too. Tuned 27B Heretic Uncensored quants from IQ2M to Q8. IQ2M is 83% of BF16, with Q6 just under 98% of BF16 precision. Q8: 98.47% of BF16 precision. NEO/Code DI-Imatrix Quants. Exceeds all 5 metrics for "censored" quants too. All metrics posted. Tuned model -from which the quants were built- also exceeds Qwen 3.6 27B core metrics too. https://huggingface.co/DavidAU/Qwen3.6-27B-Heretic-Uncensored-FINETUNE-NEO-CODE-Di-IMatrix-MAX-GGUF
new activity 3 days ago
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