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

Mixtral 8x7B Instruct Q4_K_M with a 8K context needs about 29.6 GB (up to 31.6 GB) of GPU or unified memory.

Compatible configurations for Mixtral 8x7B Instruct Q4_K_M · 8K context
	NVIDIARTX 5090Compatible GeForce RTX 5090 · 32 GB GDDR7 1,792 GB/s System RAM 64 GB Smallest configuration of this platform that runs the model entirely in fast memory.	AMDRadeon PRO W7900Excellent 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 SiliconM3 Max (40-core GPU) · 48 GBExcellent MacBook Pro 14, MacBook Pro 16 40 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 GBExcellent Radeon 8060S 256 GB/s Smallest configuration of this platform that runs the model entirely in fast memory.	Lowest memory tier2 × RTX 4060 Ti 16 GBCompatible GeForce RTX 4060 Ti 16 GB · 16 GB GDDR6 288 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	31 GB	47 GB	36 GB	48 GB	31 GB	78 GBMost memory
Estimated speed	103–154 tok/sestimate	45–70 tok/sestimate	24–36 tok/sestimate	17–26 tok/sestimate	18–28 tok/sestimate	112–168 tok/sestimateFastest
Power draw (GPU/board)	~575 W	~295 WLowest power	–	–	~330 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: GeForce RTX 5090
Processor: Ryzen 7 9700X
RAM: 32 GB DDR5
Power supply: 950 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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GeForce RTX 5090

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

CompatibleRuns Mixtral 8x7B Instruct Q4_K_M entirely in memory

Price not available

Availability unknown

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Radeon PRO W7900

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

ExcellentRuns Mixtral 8x7B Instruct Q4_K_M entirely in memory

Price not available

Availability unknown

View on amazon.com

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MacBook Pro 14 M3 Max

MacBook Pro 14, MacBook Pro 16 · 40 GPU · 400 GB/s

ExcellentRuns Mixtral 8x7B Instruct Q4_K_M entirely in memory

Price not available

Availability unknown

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AMD Ryzen AI Max+ 395

Radeon 8060S · 256 GB/s

ExcellentRuns Mixtral 8x7B Instruct Q4_K_M entirely in memory

Price not available

Availability unknown

View on amazon.com

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GeForce RTX 4060 Ti 16 GB

GeForce RTX 4060 Ti 16 GB · 16 GB GDDR6 · 288 GB/s

CompatibleRuns Mixtral 8x7B Instruct Q4_K_M entirely in memory

Price not available

Availability unknown

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Affiliate link

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