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AI Models 84755

• prometheus-eval_-_prometheus-7b-v2.0-gguf↗

  RichardErkhov

• LUAR-CRUD↗

  rrivera1849

• Legal-BERTimbau-sts-large-ma-v3↗

  rufimelo

  This is a sentence-transformers model: It maps sentences & paragraphs to a 1024 dimensional dense vector space and can be used for tasks like clustering or semantic search. rufimelo/Legal-BERTimbau-sts-large-ma-v3 is based on Legal-BERTimbau-large which derives from BERTimbau large. It is adapted to the Portuguese legal domain and trained for STS on portuguese datasets. rufimelo/Legal-BERTimbau-sts-large-ma-v3 is based on Legal-BERTimbau-large which derives from BERTimbau large. Firstly, due to the lack of portuguese datasets, it was trained using multilingual knowledge distillation. For the Multilingual Knowledge Distillation process, the teacher model was 'sentence-transformers/stsb-roberta-large', the supposed supported language as English and the language to learn was portuguese.

• Qwen2.5-Coder-1.5B-Instruct-GGUF↗

  second-state

• Segmind-Vega↗

  segmind

  The Segmind-Vega Model is a distilled version of the Stable Diffusion XL (SDXL), offering a remarkable **70% reduction in size** and an impressive **100% speedup** while retaining high-quality text-to-image generation capabilities. Trained on diverse datasets, including Grit and Midjourney scrape data, it excels at creating a wide range of visual content based on textual prompts. Employing a knowledge distillation strategy, Segmind-Vega leverages the teachings of several expert models, including SDXL, ZavyChromaXL, and JuggernautXL, to combine their strengths and produce compelling visual outputs. The tests were conducted on an A100 80GB GPU. (Note: All times are reported with the respective tiny-VAE!)

• SteamSHP-flan-t5-large↗

  stanfordnlp

• uid_gated_aime_qwen3-1-7b_ep1↗

  talzoomanzoo

• ShiningValiantXS-GGUF↗

  TheBloke

• Velara-GGUF↗

  TheBloke

• SkyReels-V2-DF-14B-720P-GGUF↗

  ThePun1sher