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IBM · open-weights

Granite-Docling

Granite-Docling is an open-weights language model from IBM, released September 17, 2025. Its makers disclosed about 0.3B parameters.

Today, IBM is releasing Granite-Docling-258M, an ultra-compact and cutting-edge open-source vision-language model (VLM) for converting documents to machine-readable formats while fully preserving their layout, tables, equations, lists and more. It’s now available on Hugging Face through a standard Apache 2.0 license.

Check it against your own PC →

Lab
IBM
Released
September 17, 2025
Weights
Open
Parameters
0.3B disclosed
Context
–
Price / M tokens
–
Epoch ECI
not yet rated

Can you run Granite-Docling 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 Granite-Docling yet. New models are usually evaluated within days to weeks.

Links

Announcement

More from IBM

granite switch 4.1 8b · granite switch 4.1 30b · Granite 4.1 30B · Granite 4.1 8B · Granite-4.0-H-Tiny · Granite-4.0-H-Micro · Granite-4.0-H-Small

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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