T Pro IT 2.1 — Hardware Requirements & GPU Compatibility
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1.1K downloads
26 likesSpecifications
- Publisher
- t-tech
- Parameters
- 32.8B
- Architecture
- Qwen3ForCausalLM
- Context Length
- 40,960 tokens
- Vocabulary Size
- 151,689
- Release Date
- 2025-12-23
- License
- Apache 2.0
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HuggingFace
How Much VRAM Does T Pro IT 2.1 Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| BF16 | 16.00 | 66.2 GB | 72.5 GB | 65.52 GB | Brain floating point 16 — preferred for training |
Which GPUs Can Run T Pro IT 2.1?
BF16 · 66.2 GBT Pro IT 2.1 (BF16) requires 66.2 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 86+ GB is recommended. Using the full 41K context window can add up to 6.4 GB, bringing total usage to 72.5 GB. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Which Devices Can Run T Pro IT 2.1?
BF16 · 66.2 GB5 devices with unified memory can run T Pro IT 2.1, including NVIDIA DGX H100, NVIDIA DGX A100 640GB.
Related Models
Frequently Asked Questions
- How much VRAM does T Pro IT 2.1 need?
T Pro IT 2.1 requires 66.2 GB of VRAM at BF16. Full 41K context adds up to 6.4 GB (72.5 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 32.8B × 16 bits ÷ 8 = 65.5 GB
KV Cache + Overhead ≈ 0.7 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 7 GB (at full 41K context)
VRAM usage by quantization
BF1666.2 GBBF16 + full context72.5 GB- Can NVIDIA GeForce RTX 5090 run T Pro IT 2.1?
No — T Pro IT 2.1 requires at least 66.2 GB at BF16, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
- Can I run T Pro IT 2.1 on a Mac?
T Pro IT 2.1 requires at least 66.2 GB at BF16, which exceeds the unified memory of most consumer Macs. You would need a Mac Studio or Mac Pro with a high-memory configuration.
- Can I run T Pro IT 2.1 locally?
Yes — T Pro IT 2.1 can run locally on consumer hardware. At BF16 quantization it needs 66.2 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- How fast is T Pro IT 2.1?
At BF16, T Pro IT 2.1 can reach ~44 tok/s on AMD Instinct MI300X. Speed depends mainly on GPU memory bandwidth. Real-world results typically within ±20%.
tok/s = (bandwidth GB/s ÷ model GB) × efficiency
Example: AMD Instinct MI300X → 5300 ÷ 66.2 × 0.55 = ~44 tok/s
Estimated speed at BF16 (66.2 GB)
AMD Instinct MI300X~44 tok/sNVIDIA H100 SXM~33 tok/sAMD Instinct MI250X~27 tok/sReal-world results typically within ±20%. Speed depends on batch size, quantization kernel, and software stack.
- What's the download size of T Pro IT 2.1?
At BF16, the download is about 65.52 GB.
- Which GPUs can run T Pro IT 2.1?
No single consumer GPU has enough VRAM to run T Pro IT 2.1 at BF16 (66.2 GB). Multi-GPU or professional hardware is required.
- Which devices can run T Pro IT 2.1?
5 devices with unified memory can run T Pro IT 2.1 at BF16 (66.2 GB), including Mac Pro M2 Ultra (192 GB), Mac Studio M2 Ultra (192 GB), Mac Studio M4 Max (128 GB), NVIDIA DGX A100 640GB. Apple Silicon Macs use unified memory shared between CPU and GPU, making them well-suited for local LLM inference.