ChristianAzinn/tiny-json

🤗 Hugging Face 来源apache-2.02.1 GBGGUF✓ 6 个校验和今天更新
一条命令提交

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 ChristianAzinn/tiny-json ./model-folder
需要做种者 →

TinyJSON

Trained on my json-training dataset, these are finetunes of the smallest state-of-the-art LLMs to output in structured JSON.

Where their base/instruct versions have so little clue how to output JSON that forcing it using techniques like grammars simply hangs forever, these little guys (mostly) work like a charm. (SmolLM 135M still sometimes babbles on. Set a maximum token limit.)

Training was done with Unsloth at 4bit (lmao), rank=8, alpha=8, for 3 epochs each. rev1 models were trained on the first revision (11.6k rows) of json-training, while rev2 models were trained on the second (20.6k rows).