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Llama 3.1 70B

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742.1KDownloads921LikesJul 2024Veröffentlicht128K TokenKontextCommunityLizenz73 StarkQualität

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.

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Copy-paste commands to run Llama 3.1 70B on your machine.

Run

ollama run llama3.1

Quick specs

Parameters70B
Architecturedense
Context128K tokens
Modalitytext
Min RAM27.3 GB
Rec. RAM42.7 GB (Q4_K_M)
LicenseCommunity
FamilyLlama
Chat Reasoning

About this model

Llama 3.1 70B is Meta's high-capability open model with 128K context window. Excels at complex reasoning, multilingual tasks, code generation, and tool use with quality competitive with leading proprietary models.

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Quantisierungsoptionen

VRAM-Schätzungen nach Quantisierungsstufe

No hardware detected — fit column shows raw VRAM estimates

QuantBitsVRAMQualityFit
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

Benchmark verified

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

Hardware-Kompatibilität

Eignungsschätzungen für alle Hardware

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Computing compatibility...

Speicheraufschlüsselung

Reference: RTX 2060 6GB

Weights42.7 GB
KV Cache4.9 GB
Runtime1.2 GB
Headroom0.6 GB

Häufig gestellte Fragen

FAQ — Llama 3.1 70B

Siehe auch