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AI Models 84759

• t5-recipe-generation↗

  flax-community

• Mistral-Small-3.2-24B-Instruct-2506-GGUF↗

  gabriellarson

• metricx-24-hybrid-large-v2p6-bfloat16↗

  Google

  The repository contains the code for running inference on MetricX-24 models, a family of models for automatic evaluation of translations that were proposed in the WMT'24 Metrics Shared Task submission MetricX-24: The Google Submission to the WMT 2024 Metrics Shared Task. The models were trained in T5X and then converted for use in PyTorch. There are 3 MetricX-24 models available on Hugging Face that vary in the number of parameters. Unlike the MetricX-23 models, the MetricX-24 models are all hybrid models that can do both reference-based and reference-free (also known as quality estimation, or QE) inference: We recommend using the XXL model versions for the best agreement with human judgments of translation quality, the Large versions for best speed, and the XL for an intermediate use case.

• t5-efficient-small-nl48↗

  Google

• umt5-xl↗

  Google

• Qwen3.8-Flash-Next-GGUF↗

  Guile

• CyberDolphin-2.9.3-mistral-nemo-12b-GGUF↗

  HagalazAI

• opus-mt-tc-big-en-hu↗

  Helsinki-NLP

• tiny-random-Kimi_K25ForConditionalGeneration↗

  hf-tiny-v2

• DeepSeek-R1-Distill-Qwen-1.5B-abliterated↗

  huihui-ai