text model · Mistral · Windows
Can I run Mixtral 8x7B on Nvidia GeForce GTX 1070 (8GB)?
No. Mixtral 8x7B needs ~28.9 GB even at Q4_K_M, but Nvidia GeForce GTX 1070 (8GB) only has ~7 GB usable.
Needs ~28.9 GB even at Q4_K_M, but only ~7 GB is usable.
That figure is at a 4k context and moves about ±15% as context length changes.
The gap is about 21.9 GB: Mixtral 8x7B needs roughly 28.9 GB at Q4_K_M and Nvidia GeForce GTX 1070 (8GB) leaves only about 7 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
- ~7 GB
- Device memory
- 8 GB
Which quant fits
- 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
- Memory
- 8 GB vram
- Usable for weights
- ~7 GB
- Power draw
- ~150 W
- Best runtime
- llama.cpp CUDA (Pascal, no tensor cores)
What you can run instead
Run Mixtral 8x7B on other hardware
FAQ
Can Nvidia GeForce GTX 1070 (8GB) run Mixtral 8x7B?
No. Mixtral 8x7B needs ~28.9 GB even at Q4_K_M, but Nvidia GeForce GTX 1070 (8GB) only has ~7 GB usable.
How much memory does Mixtral 8x7B need?
Nvidia GeForce GTX 1070 (8GB) 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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A live badge for your model card or README, updated as the data is. [](https://localmodel.run/can-i-run/mixtral-8x7b/nvidia-gtx-1070-8gb) 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.