Can Ministral 3 8B run on Radeon RX 6850M XT 12GB?

YES — Tight Fit

A82Great

Estimated from fit model

Ministral 3 8B needs ~10.9 GB VRAM. Radeon RX 6850M XT 12GB has 12.0 GB. With Q4_K_M quantization, expect ~50 tok/s.

Runtime: SGLangCapacity: TightBandwidth: LowStack: OptimizedBottleneck: Balanced

Operating mode

Choose the run profile you care about

Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.

Current mode

Balanced

Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.

Capabilities:

Select quantization to explore

Q4_K_M (Medium quality) — 10.9 GB, 53.3 tok/s, Tight fit

10.9 GB required12.0 GB available

91% VRAM used

Fit status

Tight fit

Decode

53.3 tok/s

TTFT

3633 ms

Safe context

24K

Memory

10.9 GB / 12.0 GB

Memory breakdown

Weights4.9 GB

KV Cache2.2 GB

Runtime2.6 GB

Headroom1.2 GB

See how fast it feels

See how fast it feelsMinistral 3 8B on Radeon RX 6850M XT 12GB
1st promptCold start — includes initialization
>What is local AI inference?
Local AI inference means running an AI language model directly on your own hardware — your laptop, desktop, or server — instead of sending requests to a remote cloud API.

When you run inference locally the model weights are loaded into your GPU or unified memory. Each token you generate requires reading those weights from memory, so memory bandwidth is the main bottleneck for decode speed.

Key benefits of running locally:
  - Full privacy: your prompts never leave your machine
  - No per-token cost or rate limits
  - Works offline once the model is downloaded
  - Latency depends only on your hardware
2nd promptWarm — model ready, no init overhead
>How much VRAM do I need?
It depends on the model size and quantization level. A rough rule of thumb:

  Model size     Q4 (4-bit)    Q8 (8-bit)    FP16
  7B params      ~4.3 GB       ~7.5 GB       ~14 GB
  13B params     ~7.9 GB       ~13.9 GB      ~26 GB
  70B params     ~42.7 GB      ~74.9 GB      ~140 GB

Most people use 4-bit quantization (Q4_K_M) which gives 90-95% of full quality at a fraction of the memory. A 24 GB GPU can comfortably run most 7B-13B models.
Estimated: 53.3 tok/s decode · 3.6s TTFT (warm) · 133 tok/s prefill

What limits this setup

This setup is broadly balanced for this model.

No major red flags

This recommendation has enough memory headroom and acceptable estimated speed for the selected workload.

Best improvement path

Performance by workload

Workload	Grade	Fit	Decode	TTFT	Context
Chat	S	Runs well	53.3 tok/s	1982 ms	24K
Coding	A	Tight fit	49.6 tok/s	3905 ms	24K
Agentic Coding	F	Too heavy	33.4 tok/s	8439 ms	24K
Reasoning	A	Tight fit	53.3 tok/s	4293 ms	24K
RAG	F	Too heavy	33.4 tok/s	10549 ms	24K

Quantization options

How Ministral 3 8B (8B params) fits at each quantization level on Radeon RX 6850M XT 12GB (12.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	3.1 GB	Low	A80
Q3_K_S	3	3.9 GB	Low	A81
NVFP4	4

Get started

Copy-paste commands to run Ministral 3 8B on your machine.

Run

docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \
  --hf-repo "mistralai/Ministral-3-8B-Instruct-2512" \
  --hf-file "Ministral-3-8B-Instruct-2512-Q4_K_M.gguf" \
  -c 4096 -ngl 99

Frequently asked questions

Can Radeon RX 6850M XT 12GB run Ministral 3 8B?

Yes, Radeon RX 6850M XT 12GB can run Ministral 3 8B with a A grade (Tight fit). Expected decode speed: 49.6 tok/s.

How much VRAM does Ministral 3 8B need?

Ministral 3 8B (8B parameters) requires approximately 10.9 GB of memory with Q4_K_M quantization.

What is the best quantization for Ministral 3 8B?

The recommended quantization for Ministral 3 8B is Q4_K_M, which balances quality and memory efficiency.

What speed will Ministral 3 8B run at on Radeon RX 6850M XT 12GB?

On Radeon RX 6850M XT 12GB, Ministral 3 8B achieves approximately 49.6 tokens per second decode speed with a time-to-first-token of 3905ms using Q4_K_M quantization.

Can Radeon RX 6850M XT 12GB run Ministral 3 8B for coding?

For coding workloads, Ministral 3 8B on Radeon RX 6850M XT 12GB receives a A grade with 49.6 tok/s and 24K context.

What context window can Ministral 3 8B use on Radeon RX 6850M XT 12GB?

On Radeon RX 6850M XT 12GB, Ministral 3 8B can safely use up to 24K tokens of context. The model's official context limit is 262K, but available memory constrains the safe maximum.

See all results for Radeon RX 6850M XT 12GB See all hardware for Ministral 3 8B

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