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text model · Flint · Windows

Can I run Flint 40B-A2.5B on 32GB RAM Laptop (CPU/iGPU only)?

Compatibility verdict VRAM threshold engine
Yes, but tight usable speed

Yes. Flint 40B-A2.5B runs on 32GB RAM Laptop (CPU/iGPU only) at Q4_K_M (~25.9 GB of ~28 GB usable).

Needs ~25.9 GB Device usable ~28 GB

Fits at Q4_K_M (~25.9 GB of ~28 GB usable) but with little headroom. Close background apps, and expect slow CPU generation at this size.

That figure is at a 4k context and moves about ±15% as context length changes. 32GB RAM Laptop (CPU/iGPU only) leaves ~2.1 GB of headroom.

Q4_K_M needed
~25.9 GB
Usable on device
~28 GB
Device memory
32 GB
Best quant
Q4_K_M
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Which quant fits

Quant ladder vs ~28 GB usable
Q2_K
~19 GB
Q3_K_M
~21.8 GB
Q4_K_M
~25.9 GB
Q5_K_M
~30.7 GB
Q6_K
~34.9 GB
Q8_0
~41.7 GB
FP16
~81.9 GB
The line marks 32GB RAM Laptop (CPU/iGPU only)'s ~28 GB budget; rungs past it are too large.

Run it

Install commands Windows

Pick your tool. All 3 load the same Q4_K_M weights.

Ollama
$ ollama run flint:40b
llama.cpp
$ llama-cli -hf bartowski/RecursiveSI_flint-GGUF:Q4_K_M
LM Studio
$ lms get bartowski/RecursiveSI_flint-GGUF
Model Flint
Parameters
39.8B (MoE, 2.5B active)
Q4_K_M size
23.61 GB
Q8_0 size
39.44 GB
Context
256k
Ollama tag
flint:40b
Full Flint 40B-A2.5B 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) →

You could also run

Run Flint 40B-A2.5B on other hardware

Nvidia GeForce RTX 5090 (32GB)Apple M4 Pro (48GB)Apple M5 Pro (48GB)Apple M4 Max (64GB)Apple M4 Max (128GB)AMD Ryzen AI Halo (128GB)

FAQ

Can 32GB RAM Laptop (CPU/iGPU only) run Flint 40B-A2.5B?

Yes. Flint 40B-A2.5B runs on 32GB RAM Laptop (CPU/iGPU only) at Q4_K_M (~25.9 GB of ~28 GB usable).

How much memory does Flint 40B-A2.5B need?

It is a tight fit on 32GB RAM Laptop (CPU/iGPU only). At Q4_K_M the weights are ~23.61 GB; with KV cache and runtime overhead, budget ~25.9 GB at a 4k context. It is a Mixture-of-Experts model (39.8B total / 2.5B active), so all experts must stay in memory; memory tracks total params, not active params.

What is the best tool to run Flint 40B-A2.5B 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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Flint 40B-A2.5B on 32GB RAM Laptop (CPU/iGPU only) compatibility badge A live badge for your model card or README, updated as the data is.
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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.