FitMyLLM
DeepSeek/Dense

DeepSeekDeepSeek-R1-Distill-Qwen-7B

We introduce our first-generation reasoning models, DeepSeek-R1-Zero and DeepSeek-R1.

reasoningchatThinkingDistilled
7.6B
Parameters
128K
Context length
10
Benchmarks
6
Quantizations
571K
HF downloads
Architecture
Dense
Released
2025-01-20
Layers
28
KV Heads
4
Head Dim
128
Family
qwen

Quantization Options

Context length:
QuantBitsVRAM @ 16KQuality
Q4_K_M4.89
5.8 GB
5.1 + 0.7 KV
good
Q5_K_S5.57
6.4 GB
5.8 + 0.7 KV
good
Q5_K_M5.7
6.6 GB
5.9 + 0.7 KV
good
Q6_K6.56
7.4 GB
6.7 + 0.7 KV
excellent
Q8_08.5
9.2 GB
8.6 + 0.7 KV
lossless
FP1616
16.3 GB
15.7 + 0.7 KV
lossless

Select your GPU above to see speed estimates and compatibility for each quantization.

Deploying for a team or in production? Size GPUs, cost & scaling in Enterprise →
READY TO RUN THIS?RENT BY THE HOUR

RENT A GPU AND RUN DEEPSEEK-R1-DISTILL-QWEN-7B NOW

Spin up an A100 / H100 / 4090 in ~60s. Pay by the second. Cancel anytime.

Community Ratings

Loading ratings...

Benchmarks (10)

Arena Elo1445
IFEval75.9
MBPP60.8
MATH50.0
HumanEval45.7
MMLU-PRO36.5
BBH34.9
BigCodeBench29.1
MUSR8.5
GPQA5.5

Run this model

Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run deepseek-r1:8b-0528-qwen3-q4_K_M

Downloads and runs automatically. Add --verbose for speed stats.

▸ SETUP GUIDE
>_

Auto-setup with fitmyllm CLI

Detects your GPU, recommends the best model, downloads it, and starts chatting — zero config. Benchmarks your speed and contributes anonymous data to improve predictions.

pip install fitmyllmthen run fitmyllmLearn more
Auto-detect GPULive tok/s in chatSpeed benchmarks9 inference engines

GPUs that can run this model

At Q4_K_M quantization. Sorted by minimum VRAM.

NVIDIA Tesla C2070
6 GB VRAM • 143 GB/s
NVIDIA
NVIDIA Tesla C2075
6 GB VRAM • 150 GB/s
NVIDIA
NVIDIA Tesla C2090
6 GB VRAM • 177 GB/s
NVIDIA
NVIDIA Tesla M2070
6 GB VRAM • 150 GB/s
NVIDIA
NVIDIA Tesla M2070-Q
6 GB VRAM • 150 GB/s
NVIDIA
NVIDIA Tesla M2075
6 GB VRAM • 150 GB/s
NVIDIA
NVIDIA Tesla M2090
6 GB VRAM • 177 GB/s
NVIDIA
NVIDIA Tesla X2070
6 GB VRAM • 177 GB/s
NVIDIA
NVIDIA Tesla X2090
6 GB VRAM • 177 GB/s
NVIDIA
NVIDIA Tesla K20X
6 GB VRAM • 250 GB/s
NVIDIA
NVIDIA Tesla K20Xm
6 GB VRAM • 250 GB/s
NVIDIA

Find the best GPU for DeepSeek-R1-Distill-Qwen-7B

Build Hardware for DeepSeek-R1-Distill-Qwen-7B

We introduce our first-generation reasoning models, DeepSeek-R1-Zero and DeepSeek-R1.

▸ SPEC SHEET

DeepSeek-R1-Distill-Qwen-7B7.6B Dense.

▸ SPECIFICATIONS
PARAMETERS
7.6B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
128K tokens
CAPABILITIES
reasoning, chat
RELEASE DATE
2025-01-20
PROVIDER
DeepSeek
FAMILY
qwen
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
Q4_K_M4.895.1 GB94%
Q5_K_S5.575.8 GB96%
Q5_K_M5.75.9 GB96%
Q6_K6.566.7 GB97%
Q8_08.58.6 GB100%
FP161615.7 GB100%
§ 01BENCHMARK SCORES
HumanEval45.7
MMLU-PRO36.5
MATH50.0
IFEval75.9
BBH34.9
GPQA5.5
MUSR8.5
MBPP60.8
BigCodeBench29.1
Arena Elo1445.0
§ 02RUN COMMAND

Run DeepSeek-R1-Distill-Qwen-7B locally with Ollama — needs 5.1 GB VRAM at Q4_K_M:

$ollama run deepseek-r1:8b
§ 03COMPATIBLE GPUs
30 @ Q4_K_M