# Llama中文社区 

Github：[**Llama-Chinese**](https://github.com/LlamaFamily/Llama-Chinese) 

 

在线体验链接：[**llama.family**](https://llama.family/) 

欢迎来到Llama中文社区！ 

 

我们是一个专注于Llama模型在中文方面的优化和上层建设的高级技术社区。 

 

**基于大规模中文数据，从预训练开始对Llama模型进行中文能力的持续迭代升级**。 

- Llama3、LLama2在线体验链接[**llama.family**](https://llama.family/)，同时包含Meta原版和中文微调版本！ 

- Llama2 Chat模型的[中文问答能力评测](https://github.com/LlamaFamily/Llama-Chinese/tree/main#-%E6%A8%A1%E5%9E%8B%E8%AF%84%E6%B5%8... 

# **Llama 2** 

Welcome to the Hugging Face organization for Llama 2 models from Meta!  

 

Llama 2 is a collection of pretrained and fine-tuned generative text models ranging in scale from 7 billion to 70 billio... 

...ad [our paper](https://ai.meta.com/research/publications/llama-2-open-foundation-and-fine-tuned-chat-models/), learn mor... 

... read and accept the [license terms](https://ai.meta.com/llama/license/) and [acceptable use policy](https://ai.meta.com... 

For example, you can access the [`LLama-2-7b-chat`](https://huggingface.co/meta-llama/Llama-2-7b-chat) read the conditio... 

## Llama Model Index 

|7B| [Link](https://huggingface.co/meta-llama/Llama-2-7b) | [Link](https://huggingface.co/meta-llama/Llama-2-7b-hf) | [L... 

|13B| [Link](https://huggingface.co/meta-llama/Llama-2-13b) | [Link](https://huggingface.co/meta-llama/Llama-2-13b-hf) |... 

|70B| [Link](https://huggingface.co/meta-llama/Llama-2-70b) | [Link](https://huggingface.co/meta-llama/Llama-2-70b-hf) |... 

# Llama中文社区 

Github：[**Llama2-Chinese**](https://github.com/FlagAlpha/Llama2-Chinese) 

 

在线体验链接：[**llama.family**](https://llama.family/) 

欢迎来到Llama中文社区！ 

 

我们是一个专注于Llama模型在中文方面的优化和上层建设的高级技术社区。 

 

**基于大规模中文数据，从预训练开始对Llama2模型进行中文能力的持续迭代升级**。 

- Llama2在线体验链接[**llama.family**](https://llama.family/)，同时包含Meta原版和中文微调版本！ 

- Llama2 Chat模型的[中文问答能力评测](https://github.com/FlagAlpha/Llama2-Chinese/tree/main#-%E6%A8%A1%E5%9E%8B%E8%AF%84%E6%B5%8B... 

## 🎯 Meta官方对于[Llama2](https://ai.meta.com/llama)的介绍 

自从Meta公司发布第一代LLaMA模型以来，羊驼模型家族繁荣发展。 

 

近期Meta发布了Llama2版本，开源可商用，在模型和效果上有了重大更新。 

 

Llama2总共公布了7B、13B和70B三种参数大小的模型。 

 

相比于LLaMA，Llama2的训练数据达到了2万亿token，上下文长度也由之前的2048升级到4096，可以理解和生成更长的文本。 

 

Llama2 Chat模型基于100万人类标记数据微调得到，在英文对话上达到了接近ChatGPT的效果。  

#llama 3.2 3b IT 

# Llama 3.2 3B Instruct 

Llama 3.2 3B is Meta's latest iteration of open LLMs. 

This is a demo of [`meta-llama/Llama-3.2-3B-Instruct`](https://huggingface.co/meta-llama/Llama-3.2-3B-Instruct), fine-tu... 

For more details, please check [our post](https://huggingface.co/blog/llama32). 

model_id = "meta-llama/Llama-3.2-3B-Instruct" 

<h1 style="font-size: 28px; margin: 0;">Meta llama3.2</h1> 

<p style="font-size: 18px; margin: 5px 0 0; opacity: 0.65;"> 

<a href="https://huggingface.co/blog/llama32" target="_blank" style="color: inherit; text-decoration: none;">Lear... 

label="Llama3.2 3B Instruct Chatbotw using Gradio 5", 

Llama 3.2 3B Fine-tuned Chatbot 

from llama_cpp import Llama 

print("🚀 Starting Llama 3.2 3B Chatbot...") 

filename="llama-3.2-3b-finetuned-Q4_K_M.gguf", 

# Load model into llama.cpp 

print("\n🔧 Loading model into llama.cpp...") 

try: 

llm = Llama( 

Llama + FAISS RAG System for Fire Evacuation with Advanced Reasoning 

Downloads Llama model, creates JSON dataset, builds FAISS index, and provides RAG querying 

"""RAG system using FAISS for retrieval and Llama for generation with advanced reasoning""" 

 

def __init__(self, model_name: str = "nvidia/Llama-3.1-Minitron-4B-Width-Base", model_dir: str = "./models",  

"""Download and load the Llama model, saving weights to local directory""" 

print("Downloading Llama model (this may take a while)...") 

Generate response using Llama model with context and advanced reasoning 

# Load model and tokenizer 

model = AutoModelForCausalLM.from_pretrained("meta-llama/Llama-2-70b-chat-hf") 

tokenizer = AutoTokenizer.from_pretrained("meta-llama/Llama-2-70b-chat-hf")