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Llama 4 Scout 17B 16E
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425.5KDownloads1.3KCurtidasApr 2025Publicado10.5M tokensContextoLlama 4 CommunityLicença66 BomQualidade
Llama 4 Scout 17B 16E (109B parameters) requires approximately 71.2 GB of VRAM with Q4_K_M quantization. As a Mixture of Experts model with 17B 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 82 GB of VRAM.
Comece agora
— copie e cole para rodar localmenteCopy-paste commands to run Llama 4 Scout 17B 16E on your machine.
Run
lms load Llama-4-Scout-17B-16E-Instruct && lms server startQuick specs
Parameters109B (17B active)
Architecturemoe (MoE)
Context10.5M tokens
Modalitytext+vision
Min RAM42.5 GB
Rec. RAM66.5 GB (Q4_K_M)
LicenseLlama 4 Community
FamilyLlama
✓ Vision✓ Chat✓ Reasoning
About this model
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Melhores opções para Llama 4 Scout 17B 16E
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Opções de quantização
Estimativas de VRAM por nível de quantização
No hardware detected — fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 42.5 GB | Low | — |
Q3_K_S | 3 | 53.4 GB | Low | — |
NVFP4 | 4 | 61.0 GB | Medium | — |
Q4_K_M | 4 | 66.5 GB | Medium | — |
Q5_K_M | 5 | 78.5 GB | High | — |
Q6_K | 6 | 89.4 GB | High | — |
Q8_0 | 8 | 116.6 GB | Very High | — |
F16 | 16 | 223.5 GB | Maximum | — |
Quality benchmarks
Llama 4 Scout 17B 16E benchmark scores
Coding
SWE-bench Verified—
HumanEval+—
Aider Polyglot—
LiveCodeBench32.8%
Reasoning
MMLU-Pro74.3%
GPQA Diamond57.2%
MATH-50050.3%
ARC Challenge—
Source: official · 2025-04-05
Compatibilidade de hardware
Estimativas de compatibilidade para todo o hardware
Computing compatibility...
Detalhamento de memória
Reference: RTX 2060 6GB
Weights66.5 GB
KV Cache2.9 GB
Runtime1.2 GB
Headroom0.6 GB
Perguntas frequentes
FAQ — Llama 4 Scout 17B 16E
Veja também