llama3.2:1b-instruct-q3_K_S

Meta Llama 3.2 多语言大型语言模型 (LLM) 系列是 10 亿和 30 亿参数规模（文本输入/文本输出）的预训练和指令调整生成模型系列。Llama 3.2 指令调整的纯文本模型针对多语言对话用例进行了优化，包括代理检索和摘要任务。它们在常见的行业基准测试中优于许多可用的开源和封闭聊天模型。

大小

30 亿参数（默认）

30 亿参数模型在以下任务中优于 Gemma 2 2.6B 和 Phi 3.5-mini 模型：

遵循指令
摘要
提示词重写
工具使用

ollama run llama3.2

10 亿参数

10 亿参数模型与其他 1-30 亿参数模型具有竞争力。它的用例包括

个人信息管理
多语言知识检索
在边缘本地运行的重写任务

ollama run llama3.2:1b

基准测试

支持的语言： 官方支持英语、德语、法语、意大利语、葡萄牙语、印地语、西班牙语和泰语。Llama 3.2 已经接受了比这 8 种支持的语言更广泛的语言集合的训练。

The Meta Llama 3.2 collection of multilingual large language models (LLMs) is a collection of pretrained and instruction-tuned generative models in 1B and 3B sizes (text in/text out). The Llama 3.2 instruction-tuned text only models are optimized for multilingual dialogue use cases, including agentic retrieval and summarization tasks. They outperform many of the available open source and closed chat models on common industry benchmarks.

## Sizes

### 3B parameters (default)

The 3B model outperforms the Gemma 2 2.6B and Phi 3.5-mini models on tasks such as:

* Following instructions
* Summarization
* Prompt rewriting
* Tool use

```
ollama run llama3.2
```

### 1B parameters

The 1B model is competitive with other 1-3B parameter models. It's use cases include:

* Personal information management
* Multilingual knowledge retrieval
* Rewriting tasks running locally on edge

```
ollama run llama3.2:1b
```

### Benchmarks

![Llama 3.2 instruction-tuned benchmarks](https://ollama.ac.cn/assets/library/llama3.2/c1a51716-d8bb-4642-8044-48f5022b777d)

**Supported Languages:** English, German, French, Italian, Portuguese, Hindi, Spanish, and Thai are officially supported. Llama 3.2 has been trained on a broader collection of languages than these 8 supported languages.

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