Ring 2.6 1T — Hardware Requirements & GPU Compatibility
ChatRing 2.6 1T is a 1025.7B-parameter open language model from Inclusion AI in the Ring family. It supports a context window of up to 131,072 tokens. At BF16 it needs about 2056.98 GB of VRAM — see which GPUs and Macs can run it below.
Specifications
- Publisher
- Inclusion AI
- Family
- Ring
- Parameters
- 1025.7B
- Architecture
- BailingMoeV2_5ForCausalLM
- Context Length
- 131,072 tokens
- Vocabulary Size
- 157,184
- Release Date
- 2026-05-14
- License
- MIT
Get Started
HuggingFace
How Much VRAM Does Ring 2.6 1T Need?
Select a quantization to see compatible GPUs below.
| Quantization | Bits | VRAM | + Context | File Size | Quality |
|---|---|---|---|---|---|
| BF16est. | 16.00 | 2057.0 GB | 2395.2 GB | 2051.32 GB | Brain floating point 16 — preferred for training |
est.= calculated VRAM estimate; no published GGUF file found for that quantization yet. Other rows are verified against real community uploads.
Which GPUs Can Run Ring 2.6 1T?
BF16 · 2057.0 GBRing 2.6 1T (BF16) requires 2057.0 GB of VRAM to load the model weights. For comfortable inference with headroom for KV cache and system overhead, 2675+ GB is recommended. Using the full 131K context window can add up to 338.2 GB, bringing total usage to 2395.2 GB. No single GPU has enough memory — multi-GPU or cluster setups are needed.
Related Models
Frequently Asked Questions
- How much VRAM does Ring 2.6 1T need?
Ring 2.6 1T requires 2057.0 GB of VRAM at BF16. Full 131K context adds up to 338.2 GB (2395.2 GB total).
VRAM = Weights + KV Cache + Overhead
Weights = 1025.7B × 16 bits ÷ 8 = 2051.3 GB
KV Cache + Overhead ≈ 5.7 GB (at 2K context + ~0.3 GB framework)
KV Cache + Overhead ≈ 343.9 GB (at full 131K context)
VRAM usage by quantization
BF162057.0 GBBF16 + full context2395.2 GB- Can NVIDIA GeForce RTX 5090 run Ring 2.6 1T?
No — Ring 2.6 1T requires at least 2057.0 GB at BF16, which exceeds the NVIDIA GeForce RTX 5090's 32 GB of VRAM.
- Can I run Ring 2.6 1T on a Mac?
Ring 2.6 1T requires at least 2057.0 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 Ring 2.6 1T locally?
Yes — Ring 2.6 1T can run locally on consumer hardware. At BF16 quantization it needs 2057.0 GB of VRAM. Popular tools include Ollama, LM Studio, and llama.cpp.
- What's the download size of Ring 2.6 1T?
At BF16, the download is about 2051.32 GB.
- Which GPUs can run Ring 2.6 1T?
No single consumer GPU has enough VRAM to run Ring 2.6 1T at BF16 (2057.0 GB). Multi-GPU or professional hardware is required.
- Which devices can run Ring 2.6 1T?
Ring 2.6 1T requires at least 2057.0 GB at BF16, which exceeds the unified memory of most consumer devices. A high-memory Mac Studio, Mac Pro, or multi-GPU desktop setup is recommended.