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Kimi Linear 48B A3B
Current
71.1KDownloads564LikesOct 2025Released1.0M tokensContextMITLicense76 StrongQuality
Kimi Linear 48B A3B (48B parameters) requires approximately 33.2 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 39 GB of VRAM.
Get started
— copy & paste to run locallyCopy-paste commands to run Kimi Linear 48B A3B on your machine.
Run
docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \
--hf-repo "moonshotai/Kimi-Linear-48B-A3B-Instruct" \
--hf-file "Kimi-Linear-48B-A3B-Instruct-Q4_K_M.gguf" \
-c 4096 -ngl 99Quick specs
Parameters48B
Architecturelinear
Context1.0M tokens
Modalitytext
Min RAM18.7 GB
Rec. RAM29.3 GB (Q4_K_M)
LicenseMIT
FamilyKimi Linear
✓ Code✓ Chat✓ Reasoning
About this model
- •48B total params with 3B activated and 1M context
- •Kimi Delta Attention for lower KV-cache usage
- •Designed for efficient long-context inference and high decode throughput
Your hardware
Detecting...
Quick picks
Best budgetA
Mac mini M4 64GB~$1,099 — 5 tok/s
Best overallS
RTX PRO 5000 Blackwell 48GB~$4,999 — 31 tok/sBest hardware
Top picks for Kimi Linear 48B A3B
Run this model
Quantization options
VRAM estimates by quant level
No hardware detected — fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 18.7 GB | Low | — |
Q3_K_S | 3 | 23.5 GB | Low | — |
NVFP4 | 4 | 26.9 GB | Medium | — |
Q4_K_M | 4 | 29.3 GB | Medium | — |
Q5_K_M | 5 | 34.6 GB | High | — |
Q6_K | 6 | 39.4 GB | High | — |
Q8_0 | 8 | 51.4 GB | Very High | — |
F16 | 16 | 98.4 GB | Maximum | — |
Quality benchmarks
Kimi Linear 48B A3B benchmark scores
Reasoning
MMLU-Pro51.0%
GPQA Diamond—
MATH-500—
ARC Challenge—
Source: official · 2025-10-30
Hardware compatibility
Fit estimates across all hardware
Computing compatibility...
Memory breakdown
Reference: RTX 2060 6GB
Weights29.3 GB
KV Cache0.9 GB
Runtime2.4 GB
Headroom0.6 GB
Frequently asked questions
FAQ — Kimi Linear 48B A3B
See also