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All estimates are approximations based on mathematical models and public specifications. Actual performance may vary. Do not make purchasing decisions based solely on these estimates.

Data sourced from Hugging Face, Ollama, and official model documentation. Model names and logos are trademarks of their respective owners.

© 2026 Will It Run AI — Fase Consulting Ibiza, S.L. (NIF: B57969656)

Home/Models/DeepSeek R1 Distill 7B

DeepSeekDeepSeek

DeepSeek R1 Distill 7B

huggingfaceHuggingFaceollamaOllama
621.8KDownloads792LikesJan 2025Released33K tokensContextMITLicense4 EntryQuality

Get started

— copy & paste to run locally
Ollama
ollama run deepseek-r1-distill-qwen-7b
HuggingFace
huggingface-cli download deepseek-r1-distill-qwen-7b

Quick specs

Parameters7B
Architecturedense
Context33K tokens
Modalitytext
Min RAM2.7 GB
Rec. RAM4.3 GB (Q4_K_M)
LicenseMIT
FamilyDeepSeek
✓ Reasoning

About this model

DeepSeek R1 Distill Qwen 7B is a 7B-parameter reasoning model distilled from the larger DeepSeek-R1. Based on Qwen2.5-Math-7B and fine-tuned on 800K samples from DeepSeek-R1, it delivers strong reasoning with 92.8% on MATH-500 and 49.1 on GPQA Diamond while being far more efficient than the full 671B model.

  • •Distilled from DeepSeek-R1 (671B) into a compact 7B dense model
  • •92.8% on MATH-500, 49.1 on GPQA Diamond
  • •Full chain-of-thought reasoning with <think> tags
  • •MIT license for unrestricted commercial use

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Intel Arc B580 12GB~$249 — 51 tok/s
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Best hardware

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Quantization options

VRAM estimates by quant level

No hardware detected — fit column shows raw VRAM estimates

QuantBitsVRAMQualityFit
Q2_K
2
2.7 GB
Low—
Q3_K_S
3
3.4 GB
Low—
NVFP4
4
3.9 GB
Medium—
Q4_K_M
4
4.3 GB
Medium—
Q5_K_M
5
5.0 GB
High—
Q6_K
6
5.7 GB
High—
Q8_0
8
7.5 GB
Very High—
F16
16
14.3 GB
Maximum—

Hardware compatibility

Fit estimates across all hardware

Open calculator

Computing compatibility...

Memory breakdown

Reference: NVIDIA A10 24GB

Weights4.3 GB
KV Cache1.1 GB
Runtime0.9 GB
Headroom2.4 GB