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AI モデル 85003

• Qwen3-0.6B-DISTILL-glm-4.7-think-GGUF↗

  glogwa68

• bert-base-cased-finetuned-mrpc↗

  google-bert

• codegemma-7b-it-pytorch↗

  Google

• gemma-1.1-7b-it-pytorch↗

  Google

• gemma-scope-2↗

  Google

• t5-efficient-base-dl4↗

  Google

• granite-4.0-h-tiny-base↗

  ibm-granite

• nucleotide-transformer-v2-250m-multi-species↗

  InstaDeepAI

• aya-23-8B-llamafile↗

  jartine

  This repository contains executable weights (which we call llamafiles) that run on Linux, MacOS, Windows, FreeBSD, OpenBSD, and NetBSD for AMD64 and ARM64. Alternatively, you may download an official `llamafile` executable from Mozilla Ocho on GitHub, in which case you can use the Mixtral llamafiles as a simple weights data file. The maximum context size of this model is 8192 tokens. These llamafiles use a default context size of 512 tokens. Whenever you need the maximum context size to be available with llamafile for any given model, you can pass the `-c 0` flag. The temperature on these llamafiles is set to zero by default, because it helps. This can be changed, e.g. `--temp 0.8`.

• Qwopus3.5-9B-Coder-MTP-GGUF↗

  joeblowma