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Shanghai AI Lab · open-weights

MinerU2.5

MinerU2.5 is an open-weights language model from Shanghai AI Lab, released September 29, 2025. Its makers disclosed about 1.2B parameters.

We introduce MinerU2.5, a 1.2B-parameter document parsing vision-language model that achieves state-of-the-art recognition accuracy while maintaining exceptional computational efficiency.

Check it against your own PC →

Lab
Shanghai AI Lab
Released
September 29, 2025
Weights
Open
Parameters
1.2B disclosed
Context
–
Price / M tokens
–
Epoch ECI
not yet rated

Can you run MinerU2.5 locally?

Even with 32 GB of VRAM and 32 GB of RAM it is too large to run at a usable speed on a single consumer GPU. Estimates assume 32 GB of DDR5 RAM, a 16K context and llama.cpp-style GGUF quantization. Enter your exact hardware in the live app.

GPU memoryVerdictBest quantVRAMRAMtok/s
6 GB VRAMSize unknown––––
8 GB VRAMSize unknown––––
12 GB VRAMSize unknown––––
16 GB VRAMSize unknown––––
24 GB VRAMSize unknown––––
32 GB VRAMSize unknown––––

Parameter count unknown. The weights may not be on Hugging Face yet.

Benchmark results

Epoch AI has not published results for MinerU2.5 yet. New models are usually evaluated within days to weeks.

Links

Announcement

More from Shanghai AI Lab

P1-235B-A22B

Data updated Thu, 12 Nov 2026 09:42 UTC. Benchmarks, Capabilities Index and model announcements: Epoch AI, “Capabilities & benchmarking” and “Data on AI models” (CC BY 4.0); category scores are ModelTape's own fit on Epoch's results. Releases and prices: models.dev (MIT). Sizes and quantizations: Hugging Face. “Runs on” figures are estimates from model size, quantization and memory bandwidth (±30–50%).
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