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text model · Yi · Windows

Can I run Yi 1.5 34B on 32GB RAM Laptop (CPU/iGPU only)?

Compatibility verdict VRAM threshold engine
Yes, it runs slow on this hardware ~2 tok/s est.

Yes. Yi 1.5 34B runs on 32GB RAM Laptop (CPU/iGPU only) at Q4_K_M (~21.4 GB of ~28 GB usable).

Needs ~21.4 GB Device usable ~28 GB

Runs at Q4_K_M using ~21.4 GB of ~28 GB usable.

That figure is at a 4k context and moves about ±15% as context length changes. 32GB RAM Laptop (CPU/iGPU only) leaves ~6.6 GB of headroom.

Q4_K_M needed
~21.4 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
~16.4 GB
Q3_K_M
~18.8 GB
Q4_K_M
~21.4 GB
Q5_K_M
~26.4 GB
Q6_K
~30.1 GB
Q8_0
~36.2 GB
FP16
~70.2 GB
The line marks 32GB RAM Laptop (CPU/iGPU only)'s ~28 GB budget; rungs past it are too large.

Running cost · estimate

Power & economics est.
Power draw
~28 W
Electricity / 1M tokens
~$0.58

At ~$0.15/kWh and the estimated ~2 tok/s, a million generated tokens costs about $0.58 in electricity. TDP is the peak draw, so this is an upper bound. Assumptions.

Run it

Install commands Windows

Pick your tool. All 2 load the same Q4_K_M weights.

llama.cpp
$ llama-cli -hf bartowski/Yi-1.5-34B-Chat-GGUF:Q4_K_M
LM Studio
$ lms get bartowski/Yi-1.5-34B-Chat-GGUF

How to run it

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

Model Yi
Parameters
34B
Q4_K_M size
19.24 GB
Q8_0 size
34.03 GB
Context
32k
Full Yi 1.5 34B 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 Yi 1.5 34B on other hardware

FAQ

Can 32GB RAM Laptop (CPU/iGPU only) run Yi 1.5 34B?

Yes. Yi 1.5 34B runs on 32GB RAM Laptop (CPU/iGPU only) at Q4_K_M (~21.4 GB of ~28 GB usable).

How much memory does Yi 1.5 34B need?

32GB RAM Laptop (CPU/iGPU only) has room to spare. At Q4_K_M the weights are ~19.24 GB; with KV cache and runtime overhead, budget ~21.4 GB at a 4k context.

What is the best tool to run Yi 1.5 34B 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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Yi 1.5 34B 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.