Local LLM configurator

Model

Quantization

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

Target speed

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

Platform

Advanced options8K tokens · KV cache f16

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

Context length

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

KV cache type

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

Qwen2.5 72B Instruct Q4_K_M with a 8K context needs about 47.1 GB (up to 50.1 GB) of GPU or unified memory.

Compatible configurations for Qwen2.5 72B Instruct Q4_K_M · 8K context
	NVIDIAA100 80GBExcellent A100 80GB PCIe · 80 GB HBM2e 1,935 GB/s System RAM 64 GB Smallest configuration of this platform that runs the model entirely in fast memory.	AMD2 × Radeon PRO W7900Compatible Radeon PRO W7900 · 48 GB GDDR6 ECC 864 GB/s System RAM 64 GB Smallest configuration of this platform that runs the model entirely in fast memory.	Apple SiliconM1 Max · 64 GBCompatible MacBook Pro 14, MacBook Pro 16, Mac Studio 32 GPU · 400 GB/s Smallest configuration of this platform that runs the model entirely in fast memory.	Unified memory PCAMD Ryzen AI Max+ 395 · 64 GBCompatible Radeon 8060S 256 GB/s Smallest configuration of this platform that runs the model entirely in fast memory.	Lowest memory tier2 × RTX 5090Excellent GeForce RTX 5090 · 32 GB GDDR7 1,792 GB/s System RAM 64 GB Least memory among all configurations that fit.	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 model	78 GB	93 GBMost memory	48 GB	48 GB	62 GB	78 GB
Estimated speed	28–39 tok/sestimate	9.5–16 tok/sestimate	5.5–8 tok/sestimate	3.5–5.5 tok/sestimate	21–35 tok/sestimate	29–41 tok/sestimateFastest
Power draw (GPU/board)	~300 WLowest power	~590 W	–	–	~1150 W	~350 W
Price	No current offer	No current offer	No current offer	No current offer	No current offer	No current offer
Confidence	low	low	low	low	low	low

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: A100 80GB PCIe
Processor: Ryzen 7 9700X
RAM: 96 GB DDR5
Power supply: 600 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

Your market

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Radeon PRO W7900

Radeon PRO W7900 · 48 GB GDDR6 ECC · 864 GB/s

CompatibleRuns Qwen2.5 72B Instruct 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 Qwen2.5 72B Instruct Q4_K_M entirely in memory

Price not available

Availability unknown

View on amazon.com

Affiliate link

GeForce RTX 5090

GeForce RTX 5090 · 32 GB GDDR7 · 1,792 GB/s

ExcellentRuns Qwen2.5 72B Instruct 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.