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Llama 3.1 70B
旧版
742.1K下载量921点赞Jul 2024发布日期128K tokens上下文Community许可证73 优秀质量
Llama 3.1 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.
快速开始
— 复制粘贴即可本地运行Copy-paste commands to run Llama 3.1 70B on your machine.
Run
ollama run llama3.1Quick specs
Parameters70B
Architecturedense
Context128K tokens
Modalitytext
Min RAM27.3 GB
Rec. RAM42.7 GB (Q4_K_M)
LicenseCommunity
FamilyLlama
✓ Chat✓ Reasoning
About this model
相关模型
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最佳硬件
Llama 3.1 70B 的最佳选择
运行此模型
量化选项
各量化级别的 VRAM 估算
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 3.1 70B benchmark scores
Coding
SWE-bench Verified—
HumanEval+80.5%
Aider Polyglot—
LiveCodeBench—
Reasoning
MMLU-Pro66.4%
GPQA Diamond46.7%
MATH-50068.0%
ARC Challenge94.8%
General
Chatbot Arena—
IFEval87.5%
Source: official · 2024-07-23
硬件兼容性
全部硬件的适配估算
Computing compatibility...
内存详细分析
Reference: RTX 2060 6GB
Weights42.7 GB
KV Cache4.9 GB
Runtime1.2 GB
Headroom0.6 GB
常见问题
FAQ — Llama 3.1 70B
另请参阅