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Run LLM Locally

Local LLM configurator

Q4_K_M is the right trade-off for most uses. What is this?

Around 10 tok/s reads comfortably; 30+ feels instant.

Advanced options8K tokens · KV cache f16

The defaults suit most uses. You can skip this section.

How much text the model keeps in memory. 8K is enough for chat; long documents need 32K or more. What is this?

Leave f16 if unsure. q8_0 roughly halves the conversation's memory, q4_0 nearly quarters it; the option must also be enabled in your app. What is this?

Compatible machines

What the model needs

QwQ 32B Q4_K_M with a 8K context needs about 22.4 GB (up to 24 GB) of GPU or unified memory.

Compatible configurations for QwQ 32B Q4_K_M · 8K context
NVIDIATesla P40Compatible
  • Tesla P40 · 24 GB GDDR5
  • 346 GB/s
  • System RAM 64 GB

Smallest configuration of this platform that runs the model entirely in fast memory.

AMDRX 7900 XTXCompatible
  • Radeon RX 7900 XTX · 24 GB GDDR6
  • 960 GB/s
  • System RAM 64 GB

Smallest configuration of this platform that runs the model entirely in fast memory.

Apple SiliconM3 Pro · 36 GBCompatible
  • MacBook Pro 14, MacBook Pro 16
  • 18 GPU · 150 GB/s

Smallest configuration of this platform that runs the model entirely in fast memory.

Unified memory PCAMD Ryzen AI Max+ 395 · 32 GBCompatible
  • Radeon 8060S
  • 256 GB/s

Smallest configuration of this platform that runs the model entirely in fast memory.

Highest estimated speedH100 PCIeExcellent
  • H100 PCIe 80GB · 80 GB HBM2e
  • 2,000 GB/s
  • System RAM 64 GB

Highest estimated generation speed among configurations that fit.

Memory for the model23 GB23 GB24 GB24 GB78 GBMost memory
Estimated speed12–16 tok/sestimate27–39 tok/sestimate4.5–6.5 tok/sestimate7.5–12 tok/sestimate58–84 tok/sestimateFastest
Power draw (GPU/board)~250 WLowest power~355 W––~350 W
PriceNo current offerNo current offerNo current offerNo current offerNo current offer
Confidencelowlowlowlowlow

Leaders are marked per criterion; there is no overall winner. Speeds are estimates unless marked measured. Power is the GPU's rated board power (or the platform's, when known).

Suggested PC build

GPU
Tesla P40
Processor
Ryzen 7 9700X
RAM
32 GB DDR5
Power supply
550 W

The processor matters little when the model runs on the GPU; any current 8-core CPU is enough. PSU sized with 30% headroom for power spikes.

Compatibility checks: No compatibility problem detected between these parts.

Where to buy

Prices and links follow the market you choose.

Radeon RX 7900 XTX

Radeon RX 7900 XTX · 24 GB GDDR6 · 960 GB/s

CompatibleRuns QwQ 32B Q4_K_M entirely in memory

Price not available

Availability unknown

View on amazon.com

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MacBook Pro 14 M3 Pro

MacBook Pro 14, MacBook Pro 16 · 18 GPU · 150 GB/s

CompatibleRuns QwQ 32B Q4_K_M entirely in memory

Price not available

Availability unknown

View on amazon.com

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AMD Ryzen AI Max+ 395

Radeon 8060S · 256 GB/s

CompatibleRuns QwQ 32B Q4_K_M entirely in memory

Price not available

Availability unknown

View on amazon.com

Affiliate link

No current offer imported for this market: the link opens a marketplace search.