FitMyLLM
ernie/Mixture of Experts

EERNIE 4.5 300B-A47B

chatcodingreasoningmath
300B
Parameters (47B active)
128K
Context length
17
Benchmarks
17
Quantizations
Architecture
MoE
Released
2025-06-28
Layers
54
KV Heads
8
Head Dim
128
Family
ernie

Quantization Options

QuantBitsVRAMQuality
IQ2_XXS2.3889.7 GBlow
IQ2_M2.93110.4 GBlow
Q2_K3.16119.0 GBlow
IQ3_XXS3.25122.4 GBlow
IQ3_XS3.5131.7 GBlow
Q3_K_S3.64137.0 GBlow
IQ3_M3.76141.5 GBlow
Q3_K_M4150.5 GBlow
Q3_K_L4.3161.7 GBmoderate
IQ4_XS4.46167.7 GBmoderate
Q4_K_S4.67175.6 GBmoderate
Q4_K_M4.89183.9 GBgood
Q5_K_S5.57209.4 GBgood
Q5_K_M5.7214.2 GBgood
Q6_K6.56246.5 GBexcellent
Q8_08.5319.2 GBlossless
FP1616600.5 GBlossless

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

▸ READY TO RUN THIS?RENT BY THE HOUR

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Community Ratings

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Benchmarks (17)

MATH-50096.4
BBH94.3
HumanEval92.1
IFEval88.0
GPQA Diamond81.1
MMLU-PRO78.4
MUSR69.9
AIME54.8
AA Math41.3
IFBench39.1
LiveCodeBench38.8
SciCode31.5
AA Intelligence15.0
AA Coding14.5
Terminal-Bench6.1
HLE3.5
AA Long Context2.3

Run this model

▸Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run ernie:300b-q4_K_M

Tag may need adjustment — check ollama.com/library/ernie 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
HuggingFaceGGUF DownloadsBuild Hardware

GPUs that can run this model

At Q4_K_M quantization. Sorted by minimum VRAM.

AMD Instinct MI300X
192 GB VRAM • 5300 GB/s
AMD
$15000
Apple M2 Ultra (192GB)
192 GB VRAM • 800 GB/s
APPLE
$5499
Apple M3 Ultra (192GB)
192 GB VRAM • 800 GB/s
APPLE
$6999
Apple M4 Ultra (192GB)
192 GB VRAM • 1092 GB/s
APPLE
$7499
AMD Radeon Instinct MI300A
192 GB VRAM • 10300 GB/s
AMD
$12000
AMD Radeon Instinct MI300X
192 GB VRAM • 10300 GB/s
AMD
$15000
AMD Radeon Instinct MI308X
192 GB VRAM • 10300 GB/s
AMD
$12000
Apple M5 Ultra (192GB)
192 GB VRAM • 1228 GB/s
APPLE
AMD Radeon Instinct MI325X
288 GB VRAM • 10300 GB/s
AMD
$20000
AMD Radeon Instinct MI350X
288 GB VRAM • 8190 GB/s
AMD
$25000
AMD Radeon Instinct MI355X
288 GB VRAM • 8190 GB/s
AMD
$30000
Apple M4 Ultra (384GB)
384 GB VRAM • 1092 GB/s
APPLE
$9999
Apple M5 Ultra (384GB)
384 GB VRAM • 1228 GB/s
APPLE

Find the best GPU for ERNIE 4.5 300B-A47B

Build Hardware for ERNIE 4.5 300B-A47B
▸ SPEC SHEET

ERNIE 4.5 300B-A47B — 300B MoE.

▸ SPECIFICATIONS
PARAMETERS
300B (47B active)
ARCHITECTURE
Mixture of Experts
CONTEXT LENGTH
128K tokens
CAPABILITIES
chat, coding, reasoning, math
RELEASE DATE
2025-06-28
FAMILY
ernie
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
IQ2_XXS2.3889.7 GB65%
IQ2_M2.93110.4 GB75%
Q2_K3.16119.0 GB78%
IQ3_XXS3.25122.4 GB82%
IQ3_XS3.5131.7 GB84%
Q3_K_S3.64137.0 GB85%
IQ3_M3.76141.5 GB86%
Q3_K_M4150.5 GB88%
Q3_K_L4.3161.7 GB90%
IQ4_XS4.46167.7 GB92%
Q4_K_S4.67175.6 GB93%
Q4_K_M4.89183.9 GB94%
Q5_K_S5.57209.4 GB96%
Q5_K_M5.7214.2 GB96%
Q6_K6.56246.5 GB97%
Q8_08.5319.2 GB100%
FP1616600.5 GB100%
§ 01BENCHMARK SCORES
HumanEval92.1
MMLU-PRO78.4
IFEval88.0
BBH94.3
MUSR69.9
LiveCodeBench38.8
AIME54.8
MATH-50096.4
GPQA Diamond81.1
HLE3.5
AA Intelligence15.0
AA Coding14.5
AA Math41.3
aa_ifbench39.1
aa_terminal_bench6.1
aa_scicode31.5
aa_lcr2.3
§ 03COMPATIBLE GPUs
13 @ Q4_K_M
AMD Instinct MI300X
192 GB · 5300 GB/s
Apple M2 Ultra (192GB)
192 GB · 800 GB/s
Apple M3 Ultra (192GB)
192 GB · 800 GB/s
Apple M4 Ultra (192GB)
192 GB · 1092 GB/s
AMD Radeon Instinct MI300A
192 GB · 10300 GB/s
AMD Radeon Instinct MI300X
192 GB · 10300 GB/s
AMD Radeon Instinct MI308X
192 GB · 10300 GB/s
Apple M5 Ultra (192GB)
192 GB · 1228 GB/s
AMD Radeon Instinct MI325X
288 GB · 10300 GB/s
AMD Radeon Instinct MI350X
288 GB · 8190 GB/s
AMD Radeon Instinct MI355X
288 GB · 8190 GB/s
Apple M4 Ultra (384GB)
384 GB · 1092 GB/s
Apple M5 Ultra (384GB)
384 GB · 1228 GB/s