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meshllm/laya-multilingual-F16-GGUF

🤗 Hugging Face 来源apache-2.0659 MBGGUF✓ 1 个校验和今天更新
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在你的模型文件夹旁边运行它。它会制作种子、将文件与 Hugging Face 比对，然后提交。你只需开始做种，并粘贴你账户中的密钥。它只读取你的文件，绝不修改。如果愿意，可以先阅读脚本。

curl -fsSL https://pirateface.co/package.sh | bash -s -- --repo meshllm/laya-multilingual-F16-GGUF ./model-folder
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Laya Multilingual F16 GGUF for MeshLLM CI

This repository contains a llama.cpp-compatible F16 conversion of convaiinnovations/laya-multilingual for MeshLLM's portable System One smoke tests.

It is a test fixture, not a new checkpoint. The weights remain the Apache-2.0 licensed upstream Laya Multilingual model.

Provenance

  • Source repository: convaiinnovations/laya-multilingual
  • Source revision: 4bb4d65403a3a7b8abd9e6876ccb5e75cf923b5c
  • MeshLLM llama.cpp upstream pin: 8212c7802455255460ab8e18fc34754560031b34
  • MeshLLM patched llama.cpp tree: 34abd2f5c4cb393a92921d881b1691c87276c9d0
  • Conversion: convert_hf_to_gguf.py --outtype f16
  • Output SHA-256: 03881e45cdc5d0cf5e3a841cafe2ebdb8280e53e113c489e6847f7f45ca9c139
  • Output bytes: 658805088

The upstream tokenizer_config.json declares extra_special_tokens as a JSON array, while the pinned Transformers release expects that optional field to be a map. Conversion removes only that redundant field; the tokens remain in tokenizer.json and the model weights are unchanged.

Compatibility

This file uses the Laya GGUF layout implemented by MeshLLM's pinned llama.cpp patch queue. GGUFs produced by the separate ggmlc compiler use a different layout and are not interchangeable.