๐ DeepSeek
DeepSeek
DeepSeek R1 Distill 14B
Frontier536.7KDownloads657LikesJan 2025Released33K tokensContextMITLicense59 GoodQuality
DeepSeek R1 Distill 14B (14B parameters) requires approximately 13.3 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 16 GB of VRAM.
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โ copy & paste to run locallyCopy-paste commands to run DeepSeek R1 Distill 14B on your machine.
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ollama run deepseek-r1Quick specs
Parameters14B
Architecturedense
Context33K tokens
Modalitytext
Min RAM5.5 GB
Rec. RAM8.5 GB (Q4_K_M)
LicenseMIT
FamilyDeepSeek
โ Chatโ Reasoning
About this model
- โขWe directly apply reinforcement learning (RL) to the base model without relying on supervised fine-tuning (SFT) as a preliminary step. This...
- โขWe introduce our pipeline to develop DeepSeek-R1. The pipeline incorporates two RL stages aimed at discovering improved reasoning patterns and...
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RX 7600 XT 16GB~$329 โ 21 tok/sBest overallA
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Quantization options
VRAM estimates by quant level
No hardware detected โ fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.5 GB | Low | โ |
Q3_K_S | 3 | 6.9 GB | Low | โ |
NVFP4 | 4 | 7.8 GB | Medium | โ |
Q4_K_M | 4 | 8.5 GB | Medium | โ |
Q5_K_M | 5 | 10.1 GB | High | โ |
Q6_K | 6 | 11.5 GB | High | โ |
Q8_0 | 8 | 15.0 GB | Very High | โ |
F16 | 16 | 28.7 GB | Maximum | โ |
Quality benchmarks
DeepSeek R1 Distill 14B benchmark scores
Coding
SWE-bench Verifiedโ
HumanEval+โ
Aider Polyglotโ
LiveCodeBench53.1%
Reasoning
MMLU-Pro40.7%
GPQA Diamond59.1%
MATH-50093.9%
ARC Challengeโ
General
Chatbot Arenaโ
IFEval43.8%
Source: official ยท 2025-01-20
Hardware compatibility
Fit estimates across all hardware
Computing compatibility...
Memory breakdown
Reference: RTX 2060 6GB
Weights8.5 GB
KV Cache2.9 GB
Runtime1.2 GB
Headroom0.6 GB
Frequently asked questions
FAQ โ DeepSeek R1 Distill 14B
See also
