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text model · Mistral · Windows

Can I run Mixtral 8x7B on Nvidia GeForce RTX 4070 (12GB)?

Compatibility verdict VRAM threshold engine
No, not enough memory would not load

No. Mixtral 8x7B needs ~28.9 GB even at Q4_K_M, but Nvidia GeForce RTX 4070 (12GB) only has ~11 GB usable.

Needs ~28.9 GB Device usable ~11 GB

Needs ~28.9 GB even at Q4_K_M, but only ~11 GB is usable.

That figure is at a 4k context and moves about ±15% as context length changes.

The gap is about 17.9 GB: Mixtral 8x7B needs roughly 28.9 GB at Q4_K_M and Nvidia GeForce RTX 4070 (12GB) leaves only about 11 GB usable for a model. The lightest tracked hardware that runs Mixtral 8x7B is the Nvidia GeForce RTX 5090 (32GB) at 32 GB. See Mixtral 8x7B on Nvidia GeForce RTX 5090 (32GB).

Q4_K_M needed
~28.9 GB
Usable on device
~11 GB
Device memory
12 GB
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Which quant fits

Quant ladder vs ~11 GB usable
Q2_K
~22 GB
Q3_K_M
~25.2 GB
Q4_K_M
~28.9 GB
Q5_K_M
~35.7 GB
Q6_K
~40.7 GB
Q8_0
~48.6 GB
FP16
~95.8 GB
The line marks Nvidia GeForce RTX 4070 (12GB)'s ~11 GB budget; rungs past it are too large.
Model Mistral
Parameters
46.7B (MoE, 12.9B active)
Q4_K_M size
26.49 GB
Q8_0 size
46.22 GB
Context
32k
Ollama tag
mixtral:8x7b
Full Mixtral 8x7B requirements →
Device Windows
Memory
12 GB vram
Usable for weights
~11 GB
Power draw
~200 W
Best runtime
Ollama (CUDA) / vLLM (Linux)
Best models for Nvidia GeForce RTX 4070 (12GB) →

What you can run instead

Run Mixtral 8x7B on other hardware

FAQ

Can Nvidia GeForce RTX 4070 (12GB) run Mixtral 8x7B?

No. Mixtral 8x7B needs ~28.9 GB even at Q4_K_M, but Nvidia GeForce RTX 4070 (12GB) only has ~11 GB usable.

How much memory does Mixtral 8x7B need?

Nvidia GeForce RTX 4070 (12GB) does not have enough memory. At Q4_K_M the weights are ~26.49 GB; with KV cache and runtime overhead, budget ~28.9 GB at a 4k context. It is a Mixture-of-Experts model (46.7B total / 12.9B active), so all experts must stay in memory; memory tracks total params, not active params.

What is the best tool to run Mixtral 8x7B 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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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.