2.12 GB
8 files
Updated about 2 months ago
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.gitattributes1.93 kB
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README.md717 Bytes
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json_qwen2_0.5b_rev1_Q8_0.gguf531 MB
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json_qwen2_0.5b_rev2_Q8_0.gguf531 MB
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json_smollm_135m_rev1_Q8_0.gguf145 MB
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json_smollm_135m_rev2_Q8_0.gguf145 MB
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json_smollm_360m_rev1_Q8_0.gguf386 MB
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json_smollm_360m_rev2_Q8_0.gguf386 MB
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README.md

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).

Total size
2.12 GB
Files
8
Last updated
Aug 16
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