Can Yi 1.5 34B run on Radeon Pro W6800 32GB?

YES — Tight Fit

B60Good

○Estimated from fit model

Yi 1.5 34B needs ~28.5 GB VRAM. Radeon Pro W6800 32GB has 32.0 GB. With Q4_K_M quantization, expect ~14 tok/s.

Runtime: llama.cppCapacity: TightBandwidth: 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) — 28.5 GB, 15.0 tok/s, Tight fit

28.5 GB required32.0 GB available

89% VRAM used

Fit status

Tight fit

Decode

15.0 tok/s

TTFT

12899 ms

Safe context

Memory

28.5 GB / 32.0 GB

Memory breakdown

Weights20.7 GB

KV Cache3.7 GB

Runtime0.9 GB

Headroom3.2 GB

See how fast it feels

See how fast it feelsYi 1.5 34B on Radeon Pro W6800 32GB
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: 15.0 tok/s decode · 12.9s TTFT (warm) · 38 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	Tight fit	15.0 tok/s	7036 ms	4K
Coding	B	Tight fit	13.8 tok/s	14004 ms	4K
Agentic Coding	B	Runs with offload (needs ~0.1 GB host RAM)	11.1 tok/s	25286 ms	4K
Reasoning	B	Tight fit	15.0 tok/s	15244 ms	4K
RAG	B	Runs with offload (needs ~0.1 GB host RAM)	11.1 tok/s	31608 ms