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Kimi K2.5

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1.4MDownloads2.8KCurtidasJan 2026Publicado256K tokensContextoCustomLicença100 ExcepcionalQualidade

Kimi K2.5 (1000B parameters) requires approximately 620.4 GB of VRAM with Q4_K_M quantization. As a Mixture of Experts model with 32B active parameters, it uses less memory than its total parameter count suggests. For the best balance of quality and speed, we recommend hardware with at least 714 GB of VRAM.

Comece agora

— copie e cole para rodar localmente

Copy-paste commands to run Kimi K2.5 on your machine.

Run

docker run --rm -it ghcr.io/ggerganov/llama.cpp:full \ --hf-repo "moonshotai/Kimi-K2.5" \ --hf-file "Kimi-K2.5-Q4_K_M.gguf" \ -c 4096 -ngl 99

Quick specs

Parameters1000B (32B active)
Architecturemoe (MoE)
Context256K tokens
Modalitytext+vision
Min RAM390 GB
Rec. RAM610 GB (Q4_K_M)
LicenseCustom
FamilyKimi
Vision Code Chat Reasoning

About this model

Kimi K2.5 é o modelo de raciocínio avançado da Moonshot AI com forte desempenho em matemática, programação e tarefas multilíngues. Possui compreensão de contexto longo e capacidades agênticas para resolução de problemas complexos de várias etapas.

  • Native Multimodality: Pre-trained on vision–language tokens, K2.5 excels in visual knowledge, cross-modal reasoning, and agentic tool use grounded...
  • Coding with Vision: K2.5 generates code from visual specifications (UI designs, video workflows) and autonomously orchestrates tools for visual...
  • Agent Swarm: K2.5 transitions from single-agent scaling to a self-directed, coordinated swarm-like execution scheme. It decomposes complex tasks...

Modelos relacionados

Seu hardware

Detectando...

Opções de quantização

Estimativas de VRAM por nível de quantização

No hardware detected — fit column shows raw VRAM estimates

QuantBitsVRAMQualityFit
Q2_K
2
390.0 GB
Low
Q3_K_S
3
490.0 GB
Low
NVFP4
4
560.0 GB
Medium
Q4_K_M
4
610.0 GB
Medium
Q5_K_M
5
720.0 GB
High
Q6_K
6
820.0 GB
High
Q8_0
8
1070.0 GB
Very High
F16
16
2050.0 GB
Maximum

Quality benchmarks

Kimi K2.5 benchmark scores

Benchmark verified

Coding

SWE-bench Verified76.8%
HumanEval+99.0%
Aider Polyglot
LiveCodeBench53.7%

Reasoning

MMLU-Pro87.1%
GPQA Diamond87.6%
MATH-50098.0%
ARC Challenge

General

Chatbot Arena
IFEval94.0%

Source: official · 2026-01-01

Compatibilidade de hardware

Estimativas de compatibilidade para todo o hardware

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Computing compatibility...

Detalhamento de memória

Reference: RTX 2060 6GB

Weights610.0 GB
KV Cache7.4 GB
Runtime2.4 GB
Headroom0.6 GB

Perguntas frequentes

FAQ — Kimi K2.5

Veja também