mirror of
https://github.com/zenlm/zen-blog.git
synced 2026-11-03 14:11:45 +00:00
zeekay
a30ff37468
b3b6eb0 ran a find-and-replace over the posts forked from the QwenLM
blog that turned "Qwen2" and "Qwen2.5" into "zen": Qwen2-57B-A14B read
as zen7B-A14B, Qwen2-72B as zen-72B, Qwen2AudioForConditionalGeneration
as a class that does not exist, and links such as
github.com/QwenLM/Qwen2 and the qianwen-res image paths pointed at
nothing. Every token is put back from the original post, aligned
against the rewritten one: 536 lines across 29 posts, and 116 of the
example files under public/cases.
These 44 posts are about another lab's releases and now say so with
"upstream: true" in their frontmatter. Two Zen posts lose the
base-model names they carried, and the Zen 3 post stops calling itself
the next generation.
13 lines
1.4 KiB
JSON
13 lines
1.4 KiB
JSON
{
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"title": "Example: Text Spotting",
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"messages": [
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{
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"role": "User",
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"content": "Spotting all the text in the image with line-level, and output in JSON format.\n"
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},
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{
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"role": "Qwen2.5-VL",
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"content": "```json\n[\n\t{\"bbox_2d\": [108, 175, 496, 230], \"text_content\": \"AuntieAnne's\"},\n\t{\"bbox_2d\": [49, 429, 252, 450], \"text_content\": \"CINNAMON SUGAR\"},\n\t{\"bbox_2d\": [49, 463, 61, 483], \"text_content\": \"1\"},\n\t{\"bbox_2d\": [102, 463, 113, 483], \"text_content\": \"x\"},\n\t{\"bbox_2d\": [131, 463, 198, 483], \"text_content\": \"17,000\"},\n\t{\"bbox_2d\": [461, 463, 534, 488], \"text_content\": \"17,000\"},\n\t{\"bbox_2d\": [21, 510, 143, 531], \"text_content\": \"SUB TOTAL\"},\n\t{\"bbox_2d\": [461, 516, 534, 538], \"text_content\": \"17,000\"},\n\t{\"bbox_2d\": [21, 579, 176, 601], \"text_content\": \"GRAND TOTAL\"},\n\t{\"bbox_2d\": [461, 585, 534, 607], \"text_content\": \"17,000\"},\n\t{\"bbox_2d\": [21, 628, 126, 649], \"text_content\": \"CASH IDR\"},\n\t{\"bbox_2d\": [461, 634, 534, 656], \"text_content\": \"20,000\"},\n\t{\"bbox_2d\": [21, 676, 169, 698], \"text_content\": \"CHANGE DUE\"},\n\t{\"bbox_2d\": [471, 682, 529, 704], \"text_content\": \"3,000\"},\n]\n```"
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}
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]
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} |