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AI Models 84760

  • Llama-4-Maverick-17B-128E-Instruct-GGUF↗

    unsloth

    The Llama 4 collection of models are natively multimodal AI models that enable text and multimodal experiences. These models leverage a mixture-of-experts architecture to offer industry-leading performance in text and image understanding. These Llama 4 models mark the beginning of a new era for the Llama ecosystem. We are launching two efficient models in the Llama 4 series, Llama 4 Scout, a 17 billion parameter model with 16 experts, and Llama 4 Maverick, a 17 billion parameter model with 128 experts. **Model Architecture:** The Llama 4 models are auto-regressive language models that use a mixture-of-experts (MoE) architecture and incorporate early fusion for native multimodality.

  • Qwen2.5-VL-3B-Instruct-bnb-4bit↗

    unsloth

    In the past five months since Qwen2-VL’s release, numerous developers have built new models on the Qwen2-VL vision-language models, providing us with valuable feedback. During this period, we focused on building more useful vision-language models. Today, we are excited to introduce the latest addition to the Qwen family: Qwen2.5-VL. We extend dynamic resolution to the temporal dimension by adopting dynamic FPS sampling, enabling the model to comprehend videos at various sampling rates. Accordingly, we update mRoPE in the time dimension with IDs and absolute time alignment, enabling the model to learn temporal sequence and speed, and ultimately acquire the ability to pinpoint specific moments. We enhance both training and inference speeds by strategically implementing window attention into the ViT. The ViT architecture is further optimized with SwiGLU and RMSNorm, aligning it with the structure of the Qwen2.5 LLM.

  • hassaku-xl-illustrious-GGUF↗

    void-gryph

  • ko-legal-sbert-finetuned↗

    woong0322

  • unsup-simcse-xlm-roberta-base↗

    ZurichNLP

  • c67-h40↗

    aalv2

  • roberta-large-1160k↗

    AI-Sweden-Models

  • TabSTAR-paper-version-fold-k4↗

    alana89

  • AstaBrief_8B↗

    allenai

  • DeepSeek-R1-0528-MXFP4-v2↗

    amd