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Llama 3.1 405B
Frontier
Jul 2024Released131K tokensContextLlama 3.1License79 StrongQuality
Llama 3.1 405B (405B parameters) requires approximately 256.2 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 295 GB of VRAM.
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— copy & paste to run locallyCopy-paste commands to run Llama 3.1 405B on your machine.
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ollama run llama3.1:405bQuick specs
Parameters405B
Architecturedense
Context131K tokens
Modalitytext
Min RAM158 GB
Rec. RAM247.1 GB (Q4_K_M)
LicenseLlama 3.1
FamilyLlama
✓ Code✓ Chat✓ Reasoning
About this model
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Quantization options
VRAM estimates by quant level
No hardware detected — fit column shows raw VRAM estimates
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 158.0 GB | Low | — |
Q3_K_S | 3 | 198.5 GB | Low | — |
NVFP4 | 4 | 226.8 GB | Medium | — |
Q4_K_M | 4 | 247.1 GB | Medium | — |
Q5_K_M | 5 | 291.6 GB | High | — |
Q6_K | 6 | 332.1 GB | High | — |
Q8_0 | 8 | 433.4 GB | Very High | — |
F16 | 16 | 830.2 GB | Maximum | — |
Quality benchmarks
Llama 3.1 405B benchmark scores
Coding
SWE-bench Verified—
HumanEval+89.0%
Aider Polyglot—
LiveCodeBench30.1%
Reasoning
MMLU-Pro73.3%
GPQA Diamond50.7%
MATH-50073.8%
ARC Challenge96.9%
General
Chatbot Arena—
IFEval88.6%
Source: official · 2024-07-23
Hardware compatibility
Fit estimates across all hardware
Computing compatibility...
Memory breakdown
Reference: RTX 2060 6GB
Weights247.1 GB
KV Cache7.7 GB
Runtime0.9 GB
Headroom0.6 GB
Frequently asked questions
FAQ — Llama 3.1 405B
See also