Ling 2.6 1T — Hardware Requirements & GPU Compatibility
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Ling 2.6 1T is a 1025.7B-parameter open language model from Inclusion AI. It supports a context window of up to 262,144 tokens. At BF16 it needs about 2056.98 GB of VRAM — see which GPUs and Macs can run it below.
Ling 2.6 1T runs on a GPU cluster
BF16 needs ~2.1 TB · about 4 nodes of 8× H100 SXM 80 GB
MIT
Not set up for it?
Reference GPU · RTX 4090 24 GB
Estimates, ±20% · how we estimate
Run Ling 2.6 1T
One recommended way. Every other method, OS and quant is in the step-by-step guide.
Recommended
vllm serve inclusionAI/Ling-2.6-1T --max-model-len 16384 --tensor-parallel-size 8 --pipeline-parallel-size <nodes>Size the nodes from the table above
Download: Weights on Hugging Face
Other ways
each opens step-by-stepRun in cloud
Rent 4× 8-GPU H100 SXM nodes · BF16
- Estimated hourly price
- ~$86.08/hr
- est., whole cluster
- GPUs
- 32 GPUs
- 2.6 TB of VRAM
How Much VRAM Does Ling 2.6 1T Need?
Select a quantization level; the listed hardware adheres to it.
| Quantization | VRAM | +32K | Runs on | |
|---|---|---|---|---|
| 2057.0 GB | 2054.6 GB | 16-bit · bfloat — Brain floating point 16 — preferred for training | Runs on 4 nodes of 8× H100 SXM |
Selected BF16
Brain floating point 162053.1GBat 16K context
- Weights
- 2051.3 GB
- KV cache
- 1.5 GB
- Overhead
- 0.3 GB
Server-class: ~2.1 TB at 16K context · about 4 nodes of 8× H100 SXM 80 GB
Which Hardware Can Run Ling 2.6 1T?
BF16 · 2057.0 GBLing 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 262K context window can add up to 18.8 GB, bringing total usage to 2075.8 GB. No consumer GPU has enough memory.
Needs server-class hardware
Ling 2.6 1T runs on a GPU cluster · BF16 needs ~2.1 TB
| Hardware | Quant | Memory | Context | Hardware page | |
|---|---|---|---|---|---|
| GPU cluster · 4 nodes of 8× H100 SXM 80 GB | BF16 | 2053.1 GB | 256K ctx | H100 SXM → | BF16 · 2053.1 GB · 256K ctx |
By VRAM tier · typical GPUs and Macs at BF16
Consumer GPUs (up to 32 GB) and Macs up to 512 GB: too small for this model (needs ≥ 2.1 TB)8 GB tier →12 GB tier →16 GB tier →24 GB tier →Macs →
Similar models
4| Model | Score | VRAM | tok/s | Why it is similar |
|---|---|---|---|---|
| Kimi K2.6Moonshot AI | 120.9 | 617.6 GB | —needs > 24 GB | same size |
| InklingThinking Machines | 116.0 | 575.1 GB | —needs > 24 GB | same size |
| MiMo V2.6 Pro MOPDXiaomi | — | 614.1 GB | —needs > 24 GB | same size |
| Ring 2.6 1TInclusion AI | — | 2052.6 GB | —needs > 24 GB | same size |
Specifications
- Publisher
- Inclusion AI
- Parameters
- 1025.7B
- Active parameters
- 64.5B per token
- Architecture
- BailingMoeV2_5ForCausalLM
- Context Length
- 262,144 tokens
- Vocabulary Size
- 157,184
- Release Date
- 2026-04-29
- License
- MIT
Frequently Asked Questions
How much VRAM does Ling 2.6 1T need?
Ling 2.6 1T requires 2057.0 GB of VRAM at BF16. Full 262K context adds up to 18.8 GB (2075.8 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)
Fit ratings and hardware model lists check this model with room for a 16K-token context, which needs a little more memory.
KV Cache + Overhead ≈ 24.5 GB (at full 262K context)
VRAM usage by quantization
Can NVIDIA GeForce RTX 5090 run Ling 2.6 1T?
No — Ling 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 Ling 2.6 1T on a Mac?
Ling 2.6 1T requires at least 2057.0 GB at BF16. None of the 146 Macs we list has that much usable memory (the largest has 508.5 GB after macOS overhead).
Can I run Ling 2.6 1T locally?
Yes — Ling 2.6 1T can run locally on consumer hardware. Popular tools include Ollama, LM Studio, and llama.cpp.
What's the download size of Ling 2.6 1T?
At BF16, the download is about 2051.32 GB.
Which GPUs can run Ling 2.6 1T?
No single consumer GPU has enough VRAM to run Ling 2.6 1T at BF16 (2057.0 GB). Multi-GPU or professional hardware is required.
Which devices can run Ling 2.6 1T?
Ling 2.6 1T requires at least 2057.0 GB at BF16, which exceeds the usable memory of every unified-memory device we list (the largest has 508.5 GB).