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AI Models 84759

• SAE-Res-Qwen3.5-35B-A3B-Base-W32K-L0_50↗

  阿里巴巴 · Qwen

• gemma-3-27b-it-FP8-dynamic↗

  RedHatAI

  - **Model Architecture:** gemma-3-27b-it - **Input:** Vision-Text - **Output:** Text - **Model Optimizations:** - **Weight quantization:** FP8 - **Activation quantization:** FP8 - **Release Date:** 2/24/2025 - **Version:** 1.0 - **Model Developers:** Neural Magic Quantized version of google/gemma-3-27b-it. This model was obtained by quantizing the weights of google/gemma-3-27b-it to FP8 data type, ready for inference with vLLM >= 0.5.2.

• Qwen3.6-35B-A3B-FP8-dynamic↗

  RedHatAI

• Goekdeniz-Guelmez_-_Josiefied-Qwen2.5-7B-Instruct-abliterated-v2-gguf↗

  RichardErkhov

• interview-eval_-_zephyr-7b-math-case-8-gguf↗

  RichardErkhov

• sarvam-30b-fp8↗

  sarvamai

• allenai-specter↗

  sentence-transformers

  This model is a conversion of the AllenAI SPECTER model to sentence-transformers. It can be used to map the titles & abstracts of scientific publications to a vector space such that similar papers are close. Using this model becomes easy when you have sentence-transformers installed: Without sentence-transformers, you can use the model like this: First, you pass your input through the transformer model, then you have to apply the right pooling-operation on-top of the contextualized word embeddings.

• RadioDino-s16↗

  Snarcy

• distiluse-base-multilingual-cased-v2-ExecuTorch↗

  software-mansion

• gpt2-finetuned-emergency↗

  Sohamb2005