FitMyLLM
Alibaba/Dense

AlibabaQwen2.5-14B

chattool_use
14.8B
Parameters
128K
Context length
8
Benchmarks
10
Quantizations
0
Architecture
Dense
Released
2024-09-19
Layers
48
KV Heads
8
Head Dim
128
Family
qwen

Quantization Options

QuantBitsVRAMQuality
Q3_K_M47.9 GBlow
Q3_K_L4.38.4 GBmoderate
IQ4_XS4.468.7 GBmoderate
Q4_K_S4.679.1 GBmoderate
Q4_K_M4.899.5 GBgood
Q5_K_S5.5710.8 GBgood
Q5_K_M5.711.0 GBgood
Q6_K6.5612.6 GBexcellent
Q8_08.516.2 GBlossless
FP161630.1 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 QWEN2.5-14B NOW

Rent on RunPod →Or Vast.ai →

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

Community Ratings

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Benchmarks (8)

Arena Elo1468
IFEval84.1
MATH53.0
BBH45.7
MMLU-PRO42.8
BigCodeBench39.8
GPQA12.4
MUSR11.4

Run this model

▸Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run qwen2.5:14.8b-instruct-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 RTX 3080 10GB
10 GB VRAM • 760 GB/s
NVIDIA
$429
AmazonNeweggeBayPCPartPicker
Intel Arc B570
10 GB VRAM • 456 GB/s
INTEL
$219
AmazonNeweggeBayPCPartPicker
NVIDIA GeForce RTX 3080
10 GB VRAM • 760 GB/s
NVIDIA
$699
AmazonNeweggeBayPCPartPicker
AMD Radeon RX 6700
10 GB VRAM • 320 GB/s
AMD
$299
AmazonNeweggeBayPCPartPicker
AMD Radeon RX 6700M
10 GB VRAM • 320 GB/s
AMD
AmazonNeweggeBayPCPartPicker
AMD Radeon RX 6750 GRE 10 GB
10 GB VRAM • 320 GB/s
AMD
$229
AmazonNeweggeBayPCPartPicker
NVIDIA P102-101
10 GB VRAM • 320 GB/s
NVIDIA
AmazonNeweggeBayPCPartPicker
AMD Xbox Series X GPU
10 GB VRAM • 560 GB/s
AMD
AmazonNeweggeBayPCPartPicker
NVIDIA CMP 170HX 10 GB
10 GB VRAM • 1560 GB/s
NVIDIA
NVIDIA CMP 50HX
10 GB VRAM • 560 GB/s
NVIDIA
NVIDIA CMP 90HX
10 GB VRAM • 760 GB/s
NVIDIA
AMD Xbox Series X 6nm GPU
10 GB VRAM • 560 GB/s
AMD
AmazonNeweggeBayPCPartPicker
NVIDIA RTX 2080 Ti
11 GB VRAM • 616 GB/s
NVIDIA
$350
AmazonNeweggeBayPCPartPicker
NVIDIA GTX 1080 Ti
11 GB VRAM • 484 GB/s
NVIDIA
$200
AmazonNeweggeBayPCPartPicker
NVIDIA GeForce GTX 1080 Ti
11 GB VRAM • 484 GB/s
NVIDIA
AmazonNeweggeBayPCPartPicker
NVIDIA GeForce RTX 2080 Ti
11 GB VRAM • 616 GB/s
NVIDIA
$225
AmazonNeweggeBayPCPartPicker
NVIDIA RTX 5070
12 GB VRAM • 672 GB/s
NVIDIA
$549
AmazonNeweggeBayPCPartPicker
NVIDIA RTX 4070 Ti
12 GB VRAM • 504 GB/s
NVIDIA
$799
AmazonNeweggeBayPCPartPicker
NVIDIA RTX 4070 SUPER
12 GB VRAM • 504 GB/s
NVIDIA
$599
AmazonNeweggeBayPCPartPicker
NVIDIA RTX 4070
12 GB VRAM • 504 GB/s
NVIDIA
$549
AmazonNeweggeBayPCPartPicker
NVIDIA RTX 3080 Ti
12 GB VRAM • 912 GB/s
NVIDIA
$550
AmazonNeweggeBayPCPartPicker
NVIDIA RTX 3080 12GB
12 GB VRAM • 912 GB/s
NVIDIA
$599
AmazonNeweggeBayPCPartPicker
NVIDIA RTX 3060 12GB
12 GB VRAM • 360 GB/s
NVIDIA
$329
AmazonNeweggeBayPCPartPicker
AMD RX 7700 XT
12 GB VRAM • 432 GB/s
AMD
$449
AmazonNeweggeBayPCPartPicker
AMD RX 6700 XT
12 GB VRAM • 384 GB/s
AMD
$344
AmazonNeweggeBayPCPartPicker
AMD RX 6750 XT
12 GB VRAM • 432 GB/s
AMD
$299
AmazonNeweggeBayPCPartPicker
Intel Arc B580
12 GB VRAM • 456 GB/s
INTEL
$249
AmazonNeweggeBayPCPartPicker
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

Find the best GPU for Qwen2.5-14B

Build Hardware for Qwen2.5-14B

Model Card

View on HuggingFace

Read the full model card for detailed information about this model.

▸ SPEC SHEET

Qwen2.5-14B — 14.8B Dense.

▸ SPECIFICATIONS
PARAMETERS
14.8B
ARCHITECTURE
Dense Transformer
CONTEXT LENGTH
128K tokens
CAPABILITIES
chat, tool_use
RELEASE DATE
2024-09-19
PROVIDER
Alibaba
FAMILY
qwen
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
Q3_K_M47.9 GB88%
Q3_K_L4.38.4 GB90%
IQ4_XS4.468.7 GB92%
Q4_K_S4.679.1 GB93%
Q4_K_M4.899.5 GB94%
Q5_K_S5.5710.8 GB96%
Q5_K_M5.711.0 GB96%
Q6_K6.5612.6 GB97%
Q8_08.516.2 GB100%
FP161630.1 GB100%
§ 01BENCHMARK SCORES
MMLU-PRO42.8
MATH53.0
IFEval84.1
BBH45.7
GPQA12.4
MUSR11.4
BigCodeBench39.8
Arena Elo1468.0
§ 02RUN COMMAND

Run Qwen2.5-14B locally with Ollama — needs 9.5 GB VRAM at Q4_K_M:

$ollama run qwen2.5:14.8b
§ 03COMPATIBLE GPUs
30 @ Q4_K_M
NVIDIA RTX 3080 10GB
10 GB · 760 GB/s
Intel Arc B570
10 GB · 456 GB/s
NVIDIA GeForce RTX 3080
10 GB · 760 GB/s
AMD Radeon RX 6700
10 GB · 320 GB/s
AMD Radeon RX 6700M
10 GB · 320 GB/s
AMD Radeon RX 6750 GRE 10 GB
10 GB · 320 GB/s
NVIDIA P102-101
10 GB · 320 GB/s
AMD Xbox Series X GPU
10 GB · 560 GB/s
NVIDIA CMP 170HX 10 GB
10 GB · 1560 GB/s
NVIDIA CMP 50HX
10 GB · 560 GB/s
NVIDIA CMP 90HX
10 GB · 760 GB/s
AMD Xbox Series X 6nm GPU
10 GB · 560 GB/s
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