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CPU-capable model ready

DeepSeek R1 Distill 1.5B

40 consumer GPUs can run DeepSeek R1 Distill 1.5B at Q4 natively. Precise VRAM thresholds and benchmarks below.

40 Compatible GPUs
1.5B params
128K context
Javier Morales
Javier Morales AI Hardware Specialist — 8 years experience
GitHub: github.com/javier-morales-ia

llama.cpp 0.2.x · CUDA 12 · ROCm 6 · Updated monthly · methodology →

Execution Context

ARCHITECTURE TRANSFORMER
CONTEXT 128K TOKENS
QUANTIZATION 4-BIT GGUF
PROVIDER DeepSeek
LICENSE MIT
Hardware Decision

This model requires a Entry GPU (8 GB VRAM)

Minimum

GTX 1660 Super

Runs at Q4 — functional, some wait

6 GB VRAM
View compatible setup
Balanced

RTX 4060 Ti 16GB

Best value for daily use

16 GB VRAM
View compatible setup
Optimal

RTX 5090

Full quality, fastest inference

32 GB VRAM
View compatible setup

*Prices and availability may change. Some links are affiliate links.

System Requirements

GPU VRAM 1 GB Entry GPU
System RAM 16 GB DDR4/DDR5
Storage 1 GB Q4 · SSD recommended
CPU i7 → 35 tok/s Runs without GPU

VRAM by Quantization

Quantization VRAM needed Disk space Quality
FP16 (max quality) 3 GB 3 GB Maximum
Q8 (high quality) 1.5 GB 1.5 GB Near-lossless
Q4 (recommended) Best balance 1 GB 1 GB Recommended
Q2 (minimum) 0.5 GB 0.5 GB Quality loss

Model Details

Developer DeepSeek
Parameters 1.5B
Context window 128,000 tokens
License MIT
Use cases reasoning, chat, edge
Released 2025-01

Install with Ollama

ollama run deepseek-r1:1.5b

Hugging Face

deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B
View on HF →
Technical Requirements

Can your GPU run DeepSeek R1 Distill 1.5B?

DeepSeek R1 Distill 1.5B requires 1 GB VRAM at Q4. 40 consumer GPUs meet this threshold. Below 8 GB or -1 GB you'll hit significant offload latency.

0.5GB Critical min
1GB Optimal Q4
1.5GB High Quality Q8
3GB Max FP16

Hardware Performance Matrix

40 Q4 native · 0 offload · 0 unsupported

GPU Unit VRAM Compatibility Est. Speed Action
RTX 5090 32GB Optimal 350 tok/s Calculate →
RTX 4090 24GB Optimal 350 tok/s Calculate →
M4 Ultra 128GB Optimal 350 tok/s Calculate →
RTX 5080 16GB Optimal 350 tok/s Calculate →
M3 Ultra 192GB Optimal 342 tok/s Calculate →
RTX 4080 Super 16GB Optimal 328 tok/s Calculate →
RTX 5070 Ti 16GB Optimal 347 tok/s Calculate →
RTX 3090 24GB Optimal 349 tok/s Calculate →
M4 Max 48GB 48GB Optimal 244 tok/s Calculate →
RX 7900 XTX 24GB Optimal 350 tok/s Calculate →
M4 Max 36GB 36GB Optimal 244 tok/s Calculate →
RTX 4070 Ti Super 16GB Optimal 300 tok/s Calculate →
RTX 3080 Ti 12GB Optimal 345 tok/s Calculate →
RX 7900 XT 20GB Optimal 342 tok/s Calculate →
RTX 5070 12GB Optimal 300 tok/s Calculate →
RTX 3080 10GB Optimal 339 tok/s Calculate →
M4 Pro 24GB Optimal 122 tok/s Calculate →
RX 7800 XT 16GB Optimal 279 tok/s Calculate →
RX 6800 XT 16GB Optimal 230 tok/s Calculate →
RTX 4070 12GB Optimal 225 tok/s Calculate →
RTX 4060 Ti 16GB 16GB Optimal 128 tok/s Calculate →
RX 7700 XT 12GB Optimal 193 tok/s Calculate →
RTX 3070 Ti 8GB Optimal 272 tok/s Calculate →
RTX 4060 Ti 8GB Optimal 128 tok/s Calculate →
RTX 3070 8GB Optimal 200 tok/s Calculate →
RX 6700 XT 12GB Optimal 172 tok/s Calculate →
M3 Pro 18GB Optimal 67 tok/s Calculate →
RTX 3060 Ti 8GB Optimal 201 tok/s Calculate →
RTX 2080 Ti 11GB Optimal 201 tok/s Calculate →
RTX 3060 12GB Optimal 161 tok/s Calculate →
M2 Pro 16GB Optimal 89 tok/s Calculate →
RTX 4060 8GB Optimal 122 tok/s Calculate →
Arc A770 16GB 16GB Optimal 100 tok/s Calculate →
M1 Pro 16GB Optimal 89 tok/s Calculate →
RX 7600 8GB Optimal 129 tok/s Calculate →
RX 6600 XT 8GB Optimal 122 tok/s Calculate →
Arc A750 8GB 8GB Optimal 91 tok/s Calculate →
RX 6600 8GB Optimal 110 tok/s Calculate →
RTX 3050 8GB 8GB Optimal 100 tok/s Calculate →
GTX 1660 Super 6GB Optimal 150 tok/s Calculate →

Recommended GPUs for DeepSeek R1 Distill 1.5B

Benchmarks Reales
Sin Reviews Pagadas
Seleccion Editorial
Basado en Datos

Best picks by compatibility, VRAM headroom, and value — prices and availability may change.

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DeepSeek R1 Distill 1.5B — Compatibility guide

DeepSeek R1 Distill 1.5B is an edge model that runs directly on CPU — no GPU required. On an i7-13700K with llama.cpp Q4 it reaches 35 tokens/second, enough for real-time chat. With a GPU you get up to ~126 tok/s with 6 GB VRAM. Ideal for laptops and desktops without a dedicated graphics card.

Compare GPUs for DeepSeek R1 Distill 1.5B

Which GPU is worth it? Real specs and benchmarks side by side.

Compatible Hardware

GPUs that run DeepSeek R1 Distill 1.5B at Q4 — sorted by AI performance score.

Benchmarks Reales
Sin Reviews Pagadas
Basado en Datos
RTX 5090
RTX 5090

NVIDIA · 32 GB VRAM

Q4 OK
350 tok/s > $1000
RTX 4090
RTX 4090

NVIDIA · 24 GB VRAM

Q4 OK
350 tok/s > $1000
M4 Ultra

Apple · 128 GB VRAM

Q4 OK
350 tok/s > $1000
RTX 5080
RTX 5080

NVIDIA · 16 GB VRAM

Q4 OK
350 tok/s $600–1000
M3 Ultra

Apple · 192 GB VRAM

Q4 OK
342 tok/s > $1000
RTX 4080 Super
RTX 4080 Super

NVIDIA · 16 GB VRAM

Q4 OK
328 tok/s $600–1000

Some links are Amazon affiliate links. We may earn a commission at no extra cost to you. Amazon cookies may last up to 24 hours after your click.

More Practical Alternatives

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Not sure which GPU you need for DeepSeek R1 Distill 1.5B?

The VRAM Calculator tells you exactly which quantization your hardware can handle.