FitMyLLM
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

Context length:
QuantBitsVRAM @ 16KQuality
Q4_K_M4.89
10.6 GB
4.6 + 6.0 KV
good
Q5_K_S5.57
11.2 GB
5.2 + 6.0 KV
good
Q5_K_M5.7
11.3 GB
5.3 + 6.0 KV
good
Q6_K6.56
12.0 GB
6.0 + 6.0 KV
excellent
Q8_08.5
13.6 GB
7.6 + 6.0 KV
lossless
FP1616
19.9 GB
13.9 + 6.0 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

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Rent on Vast.ai →Or RunPod →

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-base-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
HuggingFaceOllama LibraryGGUF DownloadsBuild Hardware

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 GeForce GTX 1060 5 GB
5 GB VRAM • 160 GB/s
NVIDIA
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA P102-100
5 GB VRAM • 440 GB/s
NVIDIA
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA Quadro P2000
5 GB VRAM • 140.2 GB/s
NVIDIA
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA Quadro P2200
5 GB VRAM • 200.2 GB/s
NVIDIA
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA RTX 3050 6GB
6 GB VRAM • 168 GB/s
NVIDIA
$169
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
Intel Arc A380
6 GB VRAM • 186 GB/s
INTEL
$129
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA RTX 2060 6GB
6 GB VRAM • 336 GB/s
NVIDIA
$150
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA GTX 1660 SUPER
6 GB VRAM • 336 GB/s
NVIDIA
$150
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA GTX 1660 Ti
6 GB VRAM • 288 GB/s
NVIDIA
$140
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA GTX 1060 6GB
6 GB VRAM • 192 GB/s
NVIDIA
$80
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
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
NVIDIA GeForce GTX 1060 6 GB
6 GB VRAM • 192 GB/s
NVIDIA
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA GeForce GTX 1660
6 GB VRAM • 192 GB/s
NVIDIA
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai

Find the best GPU for DeepSeek Coder 6.7B

Build Hardware for DeepSeek Coder 6.7B

Model Card

View on HuggingFace

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

▸ SPEC SHEET

DeepSeek Coder 6.7B — 6.7B 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
§ 03COMPATIBLE GPUs
30 @ Q4_K_M
NVIDIA Tesla K20c
5 GB · 208 GB/s
NVIDIA Tesla K20m
5 GB · 208 GB/s
NVIDIA Tesla K20s
5 GB · 208 GB/s
NVIDIA GeForce GTX 1060 5 GB
5 GB · 160 GB/s
NVIDIA P102-100
5 GB · 440 GB/s
NVIDIA Quadro P2000
5 GB · 140.2 GB/s
NVIDIA Quadro P2200
5 GB · 200.2 GB/s
NVIDIA RTX 3050 6GB
6 GB · 168 GB/s
Intel Arc A380
6 GB · 186 GB/s
NVIDIA RTX 2060 6GB
6 GB · 336 GB/s
NVIDIA GTX 1660 SUPER
6 GB · 336 GB/s
NVIDIA GTX 1660 Ti
6 GB · 288 GB/s
NVIDIA GTX 1060 6GB
6 GB · 192 GB/s
NVIDIA Tesla C2070
6 GB · 143 GB/s
NVIDIA Tesla C2075
6 GB · 150 GB/s