Can DeepSeek R1 Distill Llama 8B run on RX 9070 XT 16GB?

YES — Runs Great

C53Usable

Estimated from fit model

DeepSeek R1 Distill Llama 8B needs ~8.3 GB VRAM. RX 9070 XT 16GB has 16.0 GB. With Q4_K_M quantization, expect ~84 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) — 8.3 GB, 83.9 tok/s, Runs well

8.3 GB required16.0 GB available

52% VRAM used

Fit status

Runs well

Decode

83.9 tok/s

TTFT

2307 ms

Safe context

147K

Memory

8.3 GB / 16.0 GB

Memory breakdown

Weights4.9 GB

KV Cache0.9 GB

Runtime0.9 GB

Headroom1.6 GB

See how fast it feels

See how fast it feelsDeepSeek R1 Distill Llama 8B on RX 9070 XT 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: 83.9 tok/s decode · 2.3s TTFT (warm) · 210 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	C	Runs well	83.9 tok/s	1258 ms	147K
Coding	C	Runs well	83.9 tok/s	2307 ms	147K
Agentic Coding	C	Runs well	83.9 tok/s	3355 ms	147K
Reasoning	C	Runs well	83.9 tok/s	2726 ms	147K
RAG	C	Runs well	83.9 tok/s	4194 ms	147K

Quantization options

How DeepSeek R1 Distill Llama 8B (8B params) fits at each quantization level on RX 9070 XT 16GB (16.0 GB usable).

Quant	Bits	VRAM	Quality	Fit
Q2_K	2	3.1 GB	Low	C47
Q3_K_S	3	3.9 GB	Low	C48
NVFP4	4

Get started

Copy-paste commands to run DeepSeek R1 Distill Llama 8B on your machine.

Run

lms load hf-unsloth--deepseek-r1-distill-llama-8b-gguf && lms server start

Frequently asked questions

Can RX 9070 XT 16GB run DeepSeek R1 Distill Llama 8B?

Yes, RX 9070 XT 16GB can run DeepSeek R1 Distill Llama 8B with a C grade (Runs well). Expected decode speed: 83.9 tok/s.

How much VRAM does DeepSeek R1 Distill Llama 8B need?

DeepSeek R1 Distill Llama 8B (8B parameters) requires approximately 8.3 GB of memory with Q4_K_M quantization.

What is the best quantization for DeepSeek R1 Distill Llama 8B?

The recommended quantization for DeepSeek R1 Distill Llama 8B is Q4_K_M, which balances quality and memory efficiency.

What speed will DeepSeek R1 Distill Llama 8B run at on RX 9070 XT 16GB?

On RX 9070 XT 16GB, DeepSeek R1 Distill Llama 8B achieves approximately 83.9 tokens per second decode speed with a time-to-first-token of 2307ms using Q4_K_M quantization.

Can RX 9070 XT 16GB run DeepSeek R1 Distill Llama 8B for coding?

For coding workloads, DeepSeek R1 Distill Llama 8B on RX 9070 XT 16GB receives a C grade with 83.9 tok/s and 147K context.

What context window can DeepSeek R1 Distill Llama 8B use on RX 9070 XT 16GB?

On RX 9070 XT 16GB, DeepSeek R1 Distill Llama 8B can safely use up to 147K tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.

See all results for RX 9070 XT 16GB See all hardware for DeepSeek R1 Distill Llama 8B

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