DeepSeek/Mixture of Experts

DeepSeekDeepSeek-Coder-V2-Lite 15.7B

chatcoding
15.7B
Parameters (2.4B active)
160K
Context length
9
Benchmarks
10
Quantizations
276K
HF downloads
Architecture
MoE
Released
2024-12-13
Layers
27
KV Heads
16
Head Dim
128
Family
deepseek

Quantization Options

QuantBitsVRAMQuality
Q3_K_M48.3 GBlow
Q3_K_L4.38.9 GBmoderate
IQ4_XS4.469.2 GBmoderate
Q4_K_S4.679.7 GBmoderate
Q4_K_M4.8910.1 GBgood
Q5_K_S5.5711.4 GBgood
Q5_K_M5.711.7 GBgood
Q6_K6.5613.4 GBexcellent
Q8_08.517.2 GBlossless
FP161631.9 GBlossless

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

Benchmarks (9)

MMBench73.0
MATH57.0
MMMU49.0
IFEval43.8
MMLU-PRO40.7
BBH40.7
BigCodeBench36.8
MUSR28.7
GPQA18.3

Run this model

Easiest way to get starteddocs →
curl -fsSL https://ollama.com/install.sh | sh
$ollama run deepseek:15b-q4_k_m

Downloads and runs automatically. Add --verbose for speed stats.

Setup guide

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
NVIDIA GTX 1080 Ti
11 GB VRAM • 484 GB/s
NVIDIA
$200
NVIDIA GeForce GTX 1080 Ti
11 GB VRAM • 484 GB/s
NVIDIA
NVIDIA GeForce RTX 2080 Ti
11 GB VRAM • 616 GB/s
NVIDIA
$225
NVIDIA RTX 5070
12 GB VRAM • 672 GB/s
NVIDIA
$549
NVIDIA RTX 4070 Ti
12 GB VRAM • 504 GB/s
NVIDIA
$799
NVIDIA RTX 4070 SUPER
12 GB VRAM • 504 GB/s
NVIDIA
$599
NVIDIA RTX 4070
12 GB VRAM • 504 GB/s
NVIDIA
$549
NVIDIA RTX 3080 Ti
12 GB VRAM • 912 GB/s
NVIDIA
$550
NVIDIA RTX 3080 12GB
12 GB VRAM • 912 GB/s
NVIDIA
$599
NVIDIA RTX 3060 12GB
12 GB VRAM • 360 GB/s
NVIDIA
$329
AMD RX 7700 XT
12 GB VRAM • 432 GB/s
AMD
$449
AMD RX 6700 XT
12 GB VRAM • 384 GB/s
AMD
$344
AMD RX 6750 XT
12 GB VRAM • 432 GB/s
AMD
$299
Intel Arc B580
12 GB VRAM • 456 GB/s
INTEL
$249
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
NVIDIA GeForce RTX 3060 12 GB
12 GB VRAM • 360 GB/s
NVIDIA
$329
NVIDIA GeForce RTX 3060 12 GB GA104
12 GB VRAM • 360 GB/s
NVIDIA
$329
NVIDIA GeForce RTX 3080 Ti
12 GB VRAM • 912 GB/s
NVIDIA
$1199
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

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

Build Hardware for DeepSeek-Coder-V2-Lite 15.7B

DeepSeek-Coder-V2-Lite 15.7B15.7B Parameter Mixture of Experts LLM

Model 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

QuantizationBPWVRAMQuality
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%

Benchmark Scores

MMLU-PRO40.7
MATH57.0
IFEval43.8
BBH40.7
MMMU49.0
GPQA18.3
MUSR28.7
BigCodeBench36.8
MMBench73.0

How to Run DeepSeek-Coder-V2-Lite 15.7B

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

ollama run deepseek:15b

Compatible GPUs (30)

GPUs that can run DeepSeek-Coder-V2-Lite 15.7B at Q4_K_M quantization: