LlamaIndex 发布4B文档解析模型OCRia-1
LlamaIndex推出40亿参数的视觉语言模型OCRia-1，用于还原复杂文档中的表格、图表、排版和数学公式。开发者称，该模型在ParseBench得分87.4，并领先olmOCR-bench、PulseBench-Tab和fr-bench-pdf2md表格评测，现已集成至LlamaParse且定价不变。
OCRia-1为开发者提供了处理结构化企业文档的小型模型选择，其LlamaParse集成也让用户无需调整现有价格即可使用这项能力。
Today, we are introducing OCRia-1, the world’s best document parsing model. It is a 4-billion-parameter vision-language model (VLM) that is state-of-the-art in the dimensions that matter most: accuracy, cost, and latency, and it’s powering LlamaParse today.
On ParseBench, OCRia-1 sets a new high score for any parsing model under 35 billion parameters: 87.4 overall across text content, formatting, tables, and charts, 12.1 points ahead of the next-highest parsing model. It also leads table evaluations across three third-party benchmarks: olmOCR-bench* (92.9), PulseBench-Tab (84.1), and fr-bench-pdf2md.
ParseBench+12.1 ptsahead of the next-highest model
OCRia-1 4B87.4
LightOnOCR-3-4B75.3
Chandra-OCR-2 (4B)74.8
#OCRia-1#LlamaIndex#LlamaParse#ParseBench#olmOCR-bench#PulseBench-Tab#fr-bench-pdf2md