Moonshot/Mixture of Experts

MKimi-Linear-48B-A3B

chatcodingreasoningmultilingual
48B
Parameters (3B active)
1024K
Context length
12
Benchmarks
14
Quantizations
48K
HF downloads
Architecture
MoE
Released
2025-10-30
Layers
27
KV Heads
32
Head Dim
72
Family
kimi

Quantization Options

QuantBitsVRAMQuality
IQ3_XXS3.2520.0 GBlow
IQ3_XS3.521.5 GBlow
Q3_K_S3.6422.3 GBlow
IQ3_M3.7623.0 GBlow
Q3_K_M424.5 GBlow
Q3_K_L4.326.3 GBmoderate
IQ4_XS4.4627.2 GBmoderate
Q4_K_S4.6728.5 GBmoderate
Q4_K_M4.8929.8 GBgood
Q5_K_S5.5733.9 GBgood
Q5_K_M5.734.7 GBgood
Q6_K6.5639.8 GBexcellent
Q8_08.551.5 GBlossless
FP161696.5 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 KIMI-LINEAR-48B-A3B NOW

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

Community Ratings

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Benchmarks (12)

MMLU-PRO51.0
GPQA Diamond41.2
LiveCodeBench37.8
AIME36.3
AA Math36.3
IFBench28.1
AA Long Context25.7
SciCode19.9
AA Intelligence14.4
AA Coding14.2
Terminal-Bench11.4
HLE2.7

Run this model

Easiest way to get started·Beginners
DOCS ↗
curl -fsSL https://ollama.com/install.sh | sh
$ollama run kimi-linear:48b-a3b-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

GPUs that can run this model

At Q4_K_M quantization. Sorted by minimum VRAM.

NVIDIA RTX 5090
32 GB VRAM • 1792 GB/s
NVIDIA
$1999
Apple M1 Max (32GB)
32 GB VRAM • 400 GB/s
APPLE
$1499
Apple M2 Max (32GB)
32 GB VRAM • 400 GB/s
APPLE
$1799
NVIDIA V100 SXM2 32GB
32 GB VRAM • 900 GB/s
NVIDIA
$3500
Apple M2 Pro (32GB)
32 GB VRAM • 200 GB/s
APPLE
$1499
Apple M4 (32GB)
32 GB VRAM • 120 GB/s
APPLE
$1199
NVIDIA Tesla V100 DGXS 32 GB
32 GB VRAM • 897 GB/s
NVIDIA
NVIDIA Tesla V100 PCIe 32 GB
32 GB VRAM • 897 GB/s
NVIDIA
NVIDIA Tesla V100 SXM2 32 GB
32 GB VRAM • 898 GB/s
NVIDIA
NVIDIA Tesla V100 SXM3 32 GB
32 GB VRAM • 981 GB/s
NVIDIA
AMD Radeon Instinct MI60
32 GB VRAM • 1020 GB/s
AMD
NVIDIA Tesla V100S PCIe 32 GB
32 GB VRAM • 1130 GB/s
NVIDIA
AMD Radeon Instinct MI100
32 GB VRAM • 1230 GB/s
AMD
$5000
NVIDIA GeForce RTX 5090
32 GB VRAM • 1790 GB/s
NVIDIA
$1999
NVIDIA Tesla PG500-216
32 GB VRAM • 1130 GB/s
NVIDIA
NVIDIA Tesla PG503-216
32 GB VRAM • 1130 GB/s
NVIDIA

Find the best GPU for Kimi-Linear-48B-A3B

Build Hardware for Kimi-Linear-48B-A3B
▸ SPEC SHEET

Kimi-Linear-48B-A3B48B MoE.

▸ SPECIFICATIONS
PARAMETERS
48B (3B active)
ARCHITECTURE
Mixture of Experts
CONTEXT LENGTH
1024K tokens
CAPABILITIES
chat, coding, reasoning, multilingual
RELEASE DATE
2025-10-30
PROVIDER
Moonshot
FAMILY
kimi
▸ VRAM REQUIREMENTS
QUANTBPWVRAMQUALITY
IQ3_XXS3.2520.0 GB82%
IQ3_XS3.521.5 GB84%
Q3_K_S3.6422.3 GB85%
IQ3_M3.7623.0 GB86%
Q3_K_M424.5 GB88%
Q3_K_L4.326.3 GB90%
IQ4_XS4.4627.2 GB92%
Q4_K_S4.6728.5 GB93%
Q4_K_M4.8929.8 GB94%
Q5_K_S5.5733.9 GB96%
Q5_K_M5.734.7 GB96%
Q6_K6.5639.8 GB97%
Q8_08.551.5 GB100%
FP161696.5 GB100%
§ 01BENCHMARK SCORES
MMLU-PRO51.0
aa_ifbench28.1
aa_terminal_bench11.4
aa_scicode19.9
aa_lcr25.7
LiveCodeBench37.8
AIME36.3
GPQA Diamond41.2
HLE2.7
AA Intelligence14.4
AA Coding14.2
AA Math36.3
§ 02RUN COMMAND

Run Kimi-Linear-48B-A3B locally with Ollama — needs 29.8 GB VRAM at Q4_K_M:

$ollama run kimi-linear:48b-a3b