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text model · dots.llm · Windows

Can I run dots.llm1 on 32GB RAM Laptop (CPU/iGPU only)?

Compatibility verdict VRAM threshold engine
No, not enough memory would not load

No. dots.llm1 needs ~98.1 GB even at Q4_K_M, but 32GB RAM Laptop (CPU/iGPU only) only has ~28 GB usable.

Needs ~98.1 GB Device usable ~28 GB

Needs ~98.1 GB even at Q4_K_M, but only ~28 GB is usable.

That figure is at a 4k context and moves about ±15% as context length changes.

The gap is about 70.1 GB: dots.llm1 needs roughly 98.1 GB at Q4_K_M and 32GB RAM Laptop (CPU/iGPU only) leaves only about 28 GB usable for a model. The lightest tracked hardware that runs dots.llm1 is the Apple M3 Ultra (256GB) at 256 GB. See dots.llm1 on Apple M3 Ultra (256GB).

Q4_K_M needed
~98.1 GB
Usable on device
~28 GB
Device memory
32 GB
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Which quant fits

Quant ladder vs ~28 GB usable
Q2_K
~63.2 GB
Q3_K_M
~73.1 GB
Q4_K_M
~98.1 GB
Q5_K_M
~104.9 GB
Q6_K
~120.1 GB
Q8_0
~155.6 GB
FP16
~289.7 GB
The line marks 32GB RAM Laptop (CPU/iGPU only)'s ~28 GB budget; rungs past it are too large.

How to run it

On Windows use LM Studio (Best GUI on Windows, auto-detects CUDA/Vulkan backends.).

Model dots.llm
Parameters
142B (MoE, 14B active)
Q4_K_M size
94.4 GB
Q8_0 size
151.9 GB
Context
32k
Full dots.llm1 requirements →
Device Windows
Memory
32 GB ram
Usable for weights
~28 GB
Power draw
~28 W
Best runtime
Ollama (llama.cpp backend)
Best models for 32GB RAM Laptop (CPU/iGPU only) →

What you can run instead

Run dots.llm1 on other hardware

FAQ

Can 32GB RAM Laptop (CPU/iGPU only) run dots.llm1?

No. dots.llm1 needs ~98.1 GB even at Q4_K_M, but 32GB RAM Laptop (CPU/iGPU only) only has ~28 GB usable.

How much memory does dots.llm1 need?

32GB RAM Laptop (CPU/iGPU only) does not have enough memory. At Q4_K_M the weights are ~94.4 GB; with KV cache and runtime overhead, budget ~98.1 GB at a 4k context. It is a Mixture-of-Experts model (142B total / 14B active), so all experts must stay in memory; memory tracks total params, not active params.

What is the best tool to run dots.llm1 on Windows?

LM Studio for a simple setup; Ollama (CUDA) for the most speed. AMD GPUs run via Vulkan/ROCm at roughly half CUDA throughput. NVIDIA is the smooth path on Windows.

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Sources

Weights are measured from GGUF files; KV cache and overhead are computed, so totals can vary ~15% with context and runtime. Any tok/s is a bandwidth estimate. See methodology.