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Model catalogLlama3.3-70B-Instruct
LL

Llama3.3-70B-Instruct

Llama3.3-70B-Instruct

Release date: 2024-12-06更新于: 2024-12-08 14:49:04669
Live demoGitHubHugging Face
Parameters
700.0亿
Context length
128K
Chinese support
Not supported
Reasoning ability

Data sourced primarily from official releases (GitHub, Hugging Face, papers), then benchmark leaderboards, then third-party evaluators. Learn about our data methodology

Model basics

Reasoning traces
Not supported
Context length
128K tokens
Max output length
No data
Model type
聊天大模型
Release date
2024-12-06
Model file size
140GB
MoE architecture
No
Total params / Active params
700.0B / N/A
Knowledge cutoff
No data
Inference modes
No mode data

Open source & experience

Code license
LLAMA 3.1 COMMUNITY LICENSE AGREEMENT
Weights license
LLAMA 3.1 COMMUNITY LICENSE AGREEMENT- 免费商用授权
GitHub repo
https://github.com/meta-llama/llama-models
Hugging Face
https://huggingface.co/meta-llama/Llama-3.3-70B-Instruct
Live demo
No live demo

Official resources

Paper
Llama3.3 Model Card
DataLearnerAI blog
No blog post yet

API details

API speed
No data
No public API pricing yet.

Benchmark Scores

综合评估

3 evaluations
Benchmark / mode
Score
Rank/total
MMLUnormal
86
28 / 59
MMLU Pronormal
68.90
79 / 111
GPQA Diamondnormal
50.50
117 / 144

编程与软件工程

3 evaluations
Benchmark / mode
Score
Rank/total
HumanEvalnormal
88.40
13 / 36
MBPPnormal
87.60
3 / 27
LiveCodeBenchnormal
33.30
92 / 102

数学推理

1 evaluations
Benchmark / mode
Score
Rank/total
MATHnormal
77
13 / 41

Publisher

Facebook AI研究实验室
Facebook AI研究实验室
View publisher details

Model Overview

Meta 最新发布的 Llama 3.3 多语言大模型 (LLM) 是一款功能强大的生成式语言模型,具备 70B 参数规模,专为多语言对话场景设计优化。作为一款经过预训练和指令微调的文本生成模型,Llama 3.3 在多项行业基准测试中超越了许多开源和闭源的聊天模型,展现了卓越的性能。


它超过了Llama3.2版本的900亿参数规模的版本,部分评测结果超过了之前4050亿规模的Llama3.2,说明这个模型在post training上面应该有了很大的进步。

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