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Llama 3.3 70B
Current
471.9KDownloads2.8KLikesDec 2024Released128K tokensContextCommunityLicense80 StrongQuality
Llama 3.3 70B (70B parameters) requires approximately 49.4 GB of VRAM with Q4_K_M quantization. For the best balance of quality and speed, we recommend hardware with at least 57 GB of VRAM.
Get started
— copy & paste to run locallyCopy-paste commands to run Llama 3.3 70B on your machine.
Run
ollama run llama3.3Quick specs
Parameters70B
Architecturedense
Context128K tokens
Modalitytext
Min RAM27.3 GB
Rec. RAM42.7 GB (Q4_K_M)
LicenseCommunity
FamilyLlama
✓ Chat✓ Reasoning
About this model
Related models
Your hardware
Detecting...
Quick picks
Best budgetA
MacBook Pro M4 Max 96GB~$2,499 — 15 tok/s
Best overallS
NVIDIA H100 80GB~$40,000 — 72 tok/sBest hardware
Top picks for Llama 3.3 70B
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 | 27.3 GB | Low | — |
Q3_K_S | 3 | 34.3 GB | Low | — |
NVFP4 | 4 | 39.2 GB | Medium | — |
Q4_K_M | 4 | 42.7 GB | Medium | — |
Q5_K_M | 5 | 50.4 GB | High | — |
Q6_K | 6 | 57.4 GB | High | — |
Q8_0 | 8 | 74.9 GB | Very High | — |
F16 | 16 | 143.5 GB | Maximum | — |
Quality benchmarks
Llama 3.3 70B benchmark scores
Coding
SWE-bench Verified—
HumanEval+88.4%
Aider Polyglot—
LiveCodeBench—
Reasoning
MMLU-Pro68.9%
GPQA Diamond50.5%
MATH-50077.0%
ARC Challenge—
General
Chatbot Arena—
IFEval92.1%
Source: official · 2024-12-06
Hardware compatibility
Fit estimates across all hardware
Computing compatibility...
Memory breakdown
Reference: RTX 2060 6GB
Weights42.7 GB
KV Cache4.9 GB
Runtime1.2 GB
Headroom0.6 GB
Frequently asked questions
FAQ — Llama 3.3 70B
See also