T-Pro 2.0
T-Pro 2.0 is an open-weights language model from T-Bank, released July 18, 2025. Its makers disclosed about 32B parameters.
T-Technologies Group presented T-Pro 2.0 — the first own large language model with a hybrid reasoning mode, which combines higher quality of answers to complex queries with 2 times saving of computing resources for queries in Russian compared to analogues Qwen3 and DeepSeek R1-Distil.
Check it against your own PC →
Can you run T-Pro 2.0 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 memory | Verdict | Best quant | VRAM | RAM | tok/s |
|---|---|---|---|---|---|
| 6 GB VRAM | Size unknown | – | – | – | – |
| 8 GB VRAM | Size unknown | – | – | – | – |
| 12 GB VRAM | Size unknown | – | – | – | – |
| 16 GB VRAM | Size unknown | – | – | – | – |
| 24 GB VRAM | Size unknown | – | – | – | – |
| 32 GB VRAM | Size unknown | – | – | – | – |
Parameter count unknown. The weights may not be on Hugging Face yet.
Benchmark results
Epoch AI has not published results for T-Pro 2.0 yet. New models are usually evaluated within days to weeks.