Will It Run AI

Can DeepSeek R1 Distill Qwen 14B run on RTX 4070 Ti Super 16GB?

YES — Runs Great

B56Good
Estimated from fit model

DeepSeek R1 Distill Qwen 14B needs ~12.7 GB VRAM. RTX 4070 Ti Super 16GB has 16.0 GB. With Q4_K_M quantization, expect ~63 tok/s.

Runtime: llama.cppCapacity: RoomyBandwidth: MediumStack: StandardBottleneck: Balanced
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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) — 12.7 GB, 66.1 tok/s, Runs well
12.7 GB required16.0 GB available
79% VRAM used

Fit status

Runs well

Decode

66.1 tok/s

TTFT

2929 ms

Safe context

48K

Memory

12.7 GB / 16.0 GB

Memory breakdown

Weights8.5 GB
KV Cache1.6 GB
Runtime0.9 GB
Headroom1.6 GB

See how fast it feels

See how fast it feelsDeepSeek R1 Distill Qwen 14B on RTX 4070 Ti Super 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: 66.1 tok/s decode · 2.9s TTFT (warm) · 165 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

WorkloadGradeFitDecodeTTFTContext
ChatBRuns well66.1 tok/s1598 ms48K
CodingBRuns well63.0 tok/s3075 ms48K
Agentic CodingCTight fit66.1 tok/s4260 ms48K
ReasoningBRuns well66.1 tok/s3462 ms48K
RAGCTight fit66.1 tok/s5325 ms48K

Quantization options

How DeepSeek R1 Distill Qwen 14B (14B params) fits at each quantization level on RTX 4070 Ti Super 16GB (16.0 GB usable).

QuantBitsVRAMQualityFit
Q2_K
2
5.5 GB
LowC49
Q3_K_S
3
6.9 GB
LowC51
NVFP4
4
7.8 GB
MediumC52
Q4_K_M
4
8.5 GB
MediumC52
Q5_K_M
5
10.1 GB
HighC51
Q6_KBest for your GPU
6
11.5 GB
HighC51
Q8_0
8
15.0 GB
Very HighF0
F16
16
28.7 GB
MaximumF0

Get started

Copy-paste commands to run DeepSeek R1 Distill Qwen 14B on your machine.

Run

lms load hf-unsloth--deepseek-r1-distill-qwen-14b-gguf && lms server start

Frequently asked questions

Can RTX 4070 Ti Super 16GB run DeepSeek R1 Distill Qwen 14B?

Yes, RTX 4070 Ti Super 16GB can run DeepSeek R1 Distill Qwen 14B with a B grade (Runs well). Expected decode speed: 63.0 tok/s.

How much VRAM does DeepSeek R1 Distill Qwen 14B need?

DeepSeek R1 Distill Qwen 14B (14B parameters) requires approximately 12.7 GB of memory with Q4_K_M quantization.

What is the best quantization for DeepSeek R1 Distill Qwen 14B?

The recommended quantization for DeepSeek R1 Distill Qwen 14B is Q4_K_M, which balances quality and memory efficiency.

What speed will DeepSeek R1 Distill Qwen 14B run at on RTX 4070 Ti Super 16GB?

On RTX 4070 Ti Super 16GB, DeepSeek R1 Distill Qwen 14B achieves approximately 63.0 tokens per second decode speed with a time-to-first-token of 3075ms using Q4_K_M quantization.

Can RTX 4070 Ti Super 16GB run DeepSeek R1 Distill Qwen 14B for coding?

For coding workloads, DeepSeek R1 Distill Qwen 14B on RTX 4070 Ti Super 16GB receives a B grade with 63.0 tok/s and 48K context.

What context window can DeepSeek R1 Distill Qwen 14B use on RTX 4070 Ti Super 16GB?

On RTX 4070 Ti Super 16GB, DeepSeek R1 Distill Qwen 14B can safely use up to 48K tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.

See all results for RTX 4070 Ti Super 16GBSee all hardware for DeepSeek R1 Distill Qwen 14B
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