FitMyLLM
DeepSeek/Mixture of Experts

DeepSeekDeepSeek-Coder-V2-Lite 15.7B

We present DeepSeek-Coder-V2, an open-source Mixture-of-Experts (MoE) code language model that achieves performance comparable to GPT4-Turbo in code-specific tasks.

chatcoding
15.7B
Parameters (2.4B active)
160K
Context length
11
Benchmarks
10
Quantizations
276K
HF downloads
Architecture
MoE
Released
2024-12-13
Layers
27
KV Heads
16
Head Dim
128
Family
deepseek

Quantization Options

Context length:
QuantBitsVRAM @ 16KQuality
Q3_K_M4
8.7 GB
8.3 + 0.4 KV
low
Q3_K_L4.3
9.3 GB
8.9 + 0.4 KV
moderate
IQ4_XS4.46
9.6 GB
9.2 + 0.4 KV
moderate
Q4_K_S4.67
10.0 GB
9.7 + 0.4 KV
moderate
Q4_K_M4.89
10.4 GB
10.1 + 0.4 KV
good
Q5_K_S5.57
11.8 GB
11.4 + 0.4 KV
good
Q5_K_M5.7
12.0 GB
11.7 + 0.4 KV
good
Q6_K6.56
13.7 GB
13.4 + 0.4 KV
excellent
Q8_08.5
17.5 GB
17.2 + 0.4 KV
lossless
FP1616
32.2 GB
31.9 + 0.4 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 →
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Community Ratings

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Benchmarks (11)

MATH-50074.3
MMBench73.0
MATH57.0
MMMU49.0
IFEval43.8
MMLU-PRO40.7
BBH40.7
BigCodeBench36.8
MUSR28.7
GPQA18.3
AA Intelligence10.6

Run this model

▸Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run deepseek:15b

Tag may need adjustment — check ollama.com/library/deepseek for available tags.

▸ 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 RTX 2080 Ti
11 GB VRAM • 616 GB/s
NVIDIA
$350
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA GTX 1080 Ti
11 GB VRAM • 484 GB/s
NVIDIA
$200
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA GeForce GTX 1080 Ti
11 GB VRAM • 484 GB/s
NVIDIA
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA GeForce RTX 2080 Ti
11 GB VRAM • 616 GB/s
NVIDIA
$225
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA RTX 5070
12 GB VRAM • 672 GB/s
NVIDIA
$549
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA RTX 4070 Ti
12 GB VRAM • 504 GB/s
NVIDIA
$799
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA RTX 4070 SUPER
12 GB VRAM • 504 GB/s
NVIDIA
$599
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA RTX 4070
12 GB VRAM • 504 GB/s
NVIDIA
$549
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA RTX 3080 Ti
12 GB VRAM • 912 GB/s
NVIDIA
$550
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA RTX 3080 12GB
12 GB VRAM • 912 GB/s
NVIDIA
$599
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA RTX 3060 12GB
12 GB VRAM • 360 GB/s
NVIDIA
$329
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
AMD RX 7700 XT
12 GB VRAM • 432 GB/s
AMD
$449
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
AMD RX 6700 XT
12 GB VRAM • 384 GB/s
AMD
$344
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
AMD RX 6750 XT
12 GB VRAM • 432 GB/s
AMD
$299
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
Intel Arc B580
12 GB VRAM • 456 GB/s
INTEL
$249
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA Tesla K40c
12 GB VRAM • 288 GB/s
NVIDIA
NVIDIA Tesla K40d
12 GB VRAM • 288 GB/s
NVIDIA
NVIDIA Tesla K40m
12 GB VRAM • 288 GB/s
NVIDIA
NVIDIA Tesla K40s
12 GB VRAM • 288 GB/s
NVIDIA
NVIDIA Tesla K40st
12 GB VRAM • 288 GB/s
NVIDIA
NVIDIA Tesla K40t
12 GB VRAM • 288 GB/s
NVIDIA
NVIDIA Tesla K80
12 GB VRAM • 241 GB/s
NVIDIA
NVIDIA Tesla M40
12 GB VRAM • 288 GB/s
NVIDIA
NVIDIA Tesla P100 PCIe 12 GB
12 GB VRAM • 549 GB/s
NVIDIA
NVIDIA GeForce RTX 2060 12 GB
12 GB VRAM • 336 GB/s
NVIDIA
$140
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA GeForce RTX 3060 12 GB
12 GB VRAM • 360 GB/s
NVIDIA
$329
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA
$329
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA GeForce RTX 3080 Ti
12 GB VRAM • 912 GB/s
NVIDIA
$1199
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai
NVIDIA RTX A2000 12 GB
12 GB VRAM • 288 GB/s
NVIDIA
$550
AMD Radeon RX 6700 XT
12 GB VRAM • 384 GB/s
AMD
$250
AmazonNeweggeBayPCPartPickerRent on RunPodRent on Vast.ai

Find the best GPU for DeepSeek-Coder-V2-Lite 15.7B

Build Hardware for DeepSeek-Coder-V2-Lite 15.7B
▸ SPEC SHEET

DeepSeek-Coder-V2-Lite 15.7B — 15.7B MoE.

▸ SPECIFICATIONS
PARAMETERS
15.7B (2.4B active)
ARCHITECTURE
Mixture of Experts
CONTEXT LENGTH
160K tokens
CAPABILITIES
chat, coding
RELEASE DATE
2024-12-13
PROVIDER
DeepSeek
FAMILY
deepseek
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
Q3_K_M48.3 GB88%
Q3_K_L4.38.9 GB90%
IQ4_XS4.469.2 GB92%
Q4_K_S4.679.7 GB93%
Q4_K_M4.8910.1 GB94%
Q5_K_S5.5711.4 GB96%
Q5_K_M5.711.7 GB96%
Q6_K6.5613.4 GB97%
Q8_08.517.2 GB100%
FP161631.9 GB100%
§ 01BENCHMARK SCORES
MMLU-PRO40.7
MATH57.0
IFEval43.8
BBH40.7
MMMU49.0
GPQA18.3
MUSR28.7
BigCodeBench36.8
MMBench73.0
MATH-50074.3
AA Intelligence10.6
§ 02RUN COMMAND

Run DeepSeek-Coder-V2-Lite 15.7B locally with Ollama — needs 10.1 GB VRAM at Q4_K_M:

$ollama run deepseek:15b
§ 03COMPATIBLE GPUs
30 @ Q4_K_M
NVIDIA RTX 2080 Ti
11 GB · 616 GB/s
NVIDIA GTX 1080 Ti
11 GB · 484 GB/s
NVIDIA GeForce GTX 1080 Ti
11 GB · 484 GB/s
NVIDIA GeForce RTX 2080 Ti
11 GB · 616 GB/s
NVIDIA RTX 5070
12 GB · 672 GB/s
NVIDIA RTX 4070 Ti
12 GB · 504 GB/s
NVIDIA RTX 4070 SUPER
12 GB · 504 GB/s
NVIDIA RTX 4070
12 GB · 504 GB/s
NVIDIA RTX 3080 Ti
12 GB · 912 GB/s
NVIDIA RTX 3080 12GB
12 GB · 912 GB/s
NVIDIA RTX 3060 12GB
12 GB · 360 GB/s
AMD RX 7700 XT
12 GB · 432 GB/s
AMD RX 6700 XT
12 GB · 384 GB/s
AMD RX 6750 XT
12 GB · 432 GB/s
Intel Arc B580
12 GB · 456 GB/s