CoolFace
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tuned-tensor

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Models

All models matching “tuned-tensor”
tensorblock /dictalm2.0-instruct-fine-tuned-alpaca-gpt4-hebrew-GGUF1 likes206 downloads8mo agoHugging Facetensorblock /TheCarBun_GPT-2-fine-tuned-mental-health-GGUFtext-generationtransformersen0 likes181 downloads8mo agoHugging Facetensorblock /ZMC2019_Qwen1.5B-L44-Flat-tuned-GGUFtransformers0 likes143 downloads8mo agoHugging Facetensorblock /dictalm2.0-instruct-fine-tuned-GGUF0 likes114 downloads8mo agoHugging Facetensorblock /Alpaca_refine_tuned_gpt2_large-GGUF0 likes44 downloads8mo agoHugging Facetensorblock /context_tuned_patient_matching_Llama-3.2-1B-Instruct-GGUFtransformers0 likes32 downloads8mo agoHugging Facetensorblock /llama-2-7b-domain-tuned-GGUF0 likes31 downloads8mo agoHugging Facetensorblock /Alpaca_spin_tuned_gpt2_large-GGUF0 likes29 downloads8mo agoHugging Face

Datasets

All datasets matching “tuned-tensor”
tunedtensor /email-triage-v1 Email Triage v1 This dataset contains 1,740 unique email-triage examples produced through Tuned Tensor labeling and hardening workflows. It is the public v1 dataset, de-duplicated from a 2,038-row weighted fine-tuning dataset; 298 intentional weighting duplicates were removed for easier reuse. The task is operational inbox triage, not security-risk classification. Each row asks a model to label one email-like message and return strict JSON with triage, priority, should_process… See the full description on the dataset page: https://huggingface.co/datasets/tunedtensor/email-triage-v1.tabulartext-classification1K<n<10K0 likes64 downloads3mo agoHugging Face