Can Mistral 7B Instruct v0.3 run on Radeon PRO W7700 16GB?

YES — Runs Great

B66Good

Estimated from fit model

Mistral 7B Instruct v0.3 needs ~8.7 GB VRAM. Radeon PRO W7700 16GB has 16.0 GB. With Q4_K_M quantization, expect ~86 tok/s.

Runtime: llama.cppCapacity: RoomyBandwidth: MediumStack: StandardBottleneck: 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) — 8.7 GB, 85.6 tok/s, Runs well

8.7 GB required16.0 GB available

54% VRAM used

Fit status

Runs well

Decode

85.6 tok/s

TTFT

2263 ms

Safe context

Memory

8.7 GB / 16.0 GB

Memory breakdown

Weights4.3 GB

KV Cache2.0 GB

Runtime0.9 GB

Headroom1.6 GB

See how fast it feels

See how fast it feelsMistral 7B Instruct v0.3 on Radeon PRO W7700 16GB
1st promptCold start — includes initialization
>Solve: If a train travels at 60 mph for 2.5 hours, how far does it go?
Let me work through this step by step.

Given information:
  - Speed = 60 mph (miles per hour)
  - Time  = 2.5 hours

Formula: Distance = Speed x Time

Calculation:
  Distance = 60 mph x 2.5 h
           = 150 miles

The train travels 150 miles.

Double-check: at 60 mph the train covers 60 miles each hour. In half an hour it covers 30 miles. So in 2.5 hours: 60 + 60 + 30 = 150 miles. Confirmed.
2nd promptWarm — model ready, no init overhead
>What if the train stops for 20 minutes halfway?
The stop doesn't change the total distance covered while moving, but it affects total trip time.

Breakdown:
  - First half: 1.25 hours at 60 mph = 75 miles
  - Stop: 20 minutes (no distance)
  - Second half: 1.25 hours at 60 mph = 75 miles

Total distance: 150 miles (same)
Total time: 2.5 h + 0.33 h = 2.83 hours
Average speed: 150 / 2.83 = 53 mph

The distance stays the same but average speed drops to 53 mph because of the stop.
Estimated: 85.6 tok/s decode · 2.3s TTFT (warm) · 214 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	B	Runs well	85.6 tok/s	1234 ms	8K
Coding	B	Runs well	85.6 tok/s	2263 ms	8K
Agentic Coding	B	Runs well	85.6 tok/s	3291 ms	8K
Reasoning	B	Runs well	85.6 tok/s	2674 ms	8K
RAG	B	Runs well	85.6 tok/s	4114 ms	8K

Quantization options

How Mistral 7B Instruct v0.3 (7B params) fits at each quantization level on Radeon PRO W7700 16GB (16.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	2.7 GB	Low	B59
Q3_K_S	3	3.4 GB	Low	B60
NVFP4	4	3.9 GB	Medium	B60
Q4_K_M	4	4.3 GB	Medium	B60
Q5_K_M	5	5.0 GB	High	B61
Q6_K	6	5.7 GB	High	B62
Q8_0Best for your GPU	8	7.5 GB	Very High	B64
F16	16	14.3 GB	Maximum	F0

Get started

Copy-paste commands to run Mistral 7B Instruct v0.3 on your machine.

Run

lms load Mistral-7B-Instruct-v0.3 && lms server start

Frequently asked questions

Can Radeon PRO W7700 16GB run Mistral 7B Instruct v0.3?

Yes, Radeon PRO W7700 16GB can run Mistral 7B Instruct v0.3 with a B grade (Runs well). Expected decode speed: 85.6 tok/s.

How much VRAM does Mistral 7B Instruct v0.3 need?

Mistral 7B Instruct v0.3 (7B parameters) requires approximately 8.7 GB of memory with Q4_K_M quantization.

What is the best quantization for Mistral 7B Instruct v0.3?

The recommended quantization for Mistral 7B Instruct v0.3 is Q4_K_M, which balances quality and memory efficiency.

What speed will Mistral 7B Instruct v0.3 run at on Radeon PRO W7700 16GB?

On Radeon PRO W7700 16GB, Mistral 7B Instruct v0.3 achieves approximately 85.6 tokens per second decode speed with a time-to-first-token of 2263ms using Q4_K_M quantization.

Can Radeon PRO W7700 16GB run Mistral 7B Instruct v0.3 for coding?

For coding workloads, Mistral 7B Instruct v0.3 on Radeon PRO W7700 16GB receives a B grade with 85.6 tok/s and 8K context.

What context window can Mistral 7B Instruct v0.3 use on Radeon PRO W7700 16GB?

On Radeon PRO W7700 16GB, Mistral 7B Instruct v0.3 can safely use up to 8K tokens of context. The model's official context limit is 8K, but available memory constrains the safe maximum.

See all results for Radeon PRO W7700 16GB See all hardware for Mistral 7B Instruct v0.3

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