DeepSeek/Dense

DeepSeekDeepSeek Coder 6.7B

DeepSeek Coder 6.7B — strong open code model. Good HumanEval scores.

coding
6.7B
Parameters
16K
Context length
8
Benchmarks
6
Quantizations
0
Architecture
Dense
Released
2023-11-02
Layers
32
KV Heads
32
Head Dim
128
Family
deepseek

Quantization Options

QuantBitsVRAMQuality
Q4_K_M4.894.6 GBgood
Q5_K_S5.575.2 GBgood
Q5_K_M5.75.3 GBgood
Q6_K6.566.0 GBexcellent
Q8_08.57.6 GBlossless
FP161613.9 GBlossless

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

READY TO RUN THIS?RENT BY THE HOUR

RENT A GPU AND RUN DEEPSEEK CODER 6.7B NOW

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

Community Ratings

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Benchmarks (8)

MBPP58.7
IFEval40.4
HumanEval39.6
MATH19.6
MMLU-PRO14.7
BBH7.9
GPQA3.9
MUSR3.6

Run this model

Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run deepseek-coder:6.7b-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 K20c
5 GB VRAM • 208 GB/s
NVIDIA
NVIDIA Tesla K20m
5 GB VRAM • 208 GB/s
NVIDIA
NVIDIA Tesla K20s
5 GB VRAM • 208 GB/s
NVIDIA
NVIDIA RTX 3050 6GB
6 GB VRAM • 168 GB/s
NVIDIA
$169
Intel Arc A380
6 GB VRAM • 186 GB/s
INTEL
$129
NVIDIA RTX 2060 6GB
6 GB VRAM • 336 GB/s
NVIDIA
$150
NVIDIA GTX 1660 Ti
6 GB VRAM • 288 GB/s
NVIDIA
$140
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 Coder 6.7B

Build Hardware for DeepSeek Coder 6.7B

DeepSeek Coder 6.7B — strong open code model. Good HumanEval scores.

▸ SPEC SHEET

DeepSeek Coder 6.7B6.7B Dense.

▸ SPECIFICATIONS
PARAMETERS
6.7B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
16K tokens
CAPABILITIES
coding
RELEASE DATE
2023-11-02
PROVIDER
DeepSeek
FAMILY
deepseek
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
Q4_K_M4.894.6 GB94%
Q5_K_S5.575.2 GB96%
Q5_K_M5.75.3 GB96%
Q6_K6.566.0 GB97%
Q8_08.57.6 GB100%
FP161613.9 GB100%
§ 01BENCHMARK SCORES
HumanEval39.6
MMLU-PRO14.7
MATH19.6
IFEval40.4
BBH7.9
GPQA3.9
MUSR3.6
MBPP58.7
§ 02RUN COMMAND

Run DeepSeek Coder 6.7B locally with Ollama — needs 4.6 GB VRAM at Q4_K_M:

$ollama run deepseek-coder:6.7b