Home / Models / Ministral 8B Instruct / NVIDIA RTX 3070 Ti 8 GB

Calculated memory fit · performance is a separate section

Can Ministral 8B Instruct run on NVIDIA RTX 3070 Ti 8 GB?

Yes. Calculated memory fit: Ministral 8B Instruct can run entirely in this GPU’s usable VRAM at one or more supported quantizations.

Can it run?

Can it run?
Yes, full GPU fit (calculated estimate).
Full GPU fit?
Yes
Model
Ministral 8B Instruct · 8.0B
GPU
NVIDIA RTX 3070 Ti 8 GB · 8 GB advertised

What else can NVIDIA RTX 3070 Ti 8 GB run? · Find other GPUs for Ministral 8B Instruct

Memory calculation

Breakdown for Q4 at 8K context, batch size 1. Calculator v1.0.0.

Model weights4.7 GB
KV cache1.1 GB
Runtime reserve0.7 GB
Safety margin0.4 GB
Required (estimated)7.0 GB
GPU usable VRAM7.2 GB

Result: FITS IN VRAM

Quantization table

Quantization2K4K8K16K32K
BF16OffloadOffloadOffloadOffloadOffload
FP16OffloadOffloadOffloadOffloadOffload
Q3FitsFitsFitsFitsLimited context
Q4FitsFitsFitsLimited contextLimited context
Q5FitsLimited contextLimited contextLimited contextLimited context
Q6OffloadOffloadOffloadOffloadOffload
Q8OffloadOffloadOffloadOffloadOffload

What fits entirely in VRAM?

What requires RAM offload?

Offload is shown only when the model does not fully fit in usable VRAM but stays within the modeled offload allowance.

Performance

No llama.cpp performance result is published for this pair yet. Memory fit above is unchanged. How performance is calculated

Available graphics cards

These SKUs use this GPU chip. Amazon CTAs appear only for EXACT/HIGH matches. Absence of a price does not change the compatibility result above.

Check price on Amazon

Sources

Model: official config mistralai/Ministral-8B-Instruct-2410 (main). GPU/product specs: Icecat. Compatibility: RigForAI calculator v1.0.0 estimated VRAM · Q8 at 8K: CPU_RAM_OFFLOAD_REQUIRED. Amazon: affiliate commerce match, not a spec source.