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Chinese Llama Alpaca 3

Chinese Llama Alpaca 3 is an open-source project that develops Chinese-language base and instruction-tuned large language models from Meta Llama 3, alongside training scripts, datasets, and local deployment guidance.

Explore the practical guide ↓

Independent OpenViST project profile, based on linked sources.

Chinese Llama Alpaca 3 — OpenViST project profile in AI Models.
OpenViST project illustration. See the linked sources for product details.
Understand the project

Practical overview

When it fits

Use the base model for text continuation or as a training foundation; choose an Instruct variant for chat and other instruction-based tasks. Follow the Llama 3 instruction template when using an Instruct model.

Who it is for

  • Developers building Chinese-language text or instruction-following applications.
  • Researchers and practitioners who want to fine-tune or evaluate Chinese LLMs.
  • Users seeking model options for local inference on a personal computer.

Documented uses

  • Generate text continuations from a prompt using the base model.
  • Use an instruction-tuned model for Chinese question answering, writing, chat, and interaction.
  • Continue pretraining or fine-tune models with the provided scripts and instruction data.
  • Quantize and deploy a model locally following the project's tutorials.
Before you choose

Requirements & limits

The project is publicly available on GitHub under the Apache-2.0 license.

  • The project offers both a base model and instruction-tuned variants; interactive tasks call for an Instruct version.
  • Instruct models require the Llama 3 instruction template, which differs from the Llama 2 chat template.
  • The README recommends Instruct-v3 when there is no specific preference among versions.
  • The repository lists Transformers, llama.cpp, text-generation-webui, vLLM, and Ollama as ecosystem options and provides local CPU/GPU quantization and deployment tutorials.

Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.

Source-based practical guide

Choose a Chinese Llama 3 model for text generation or chat

Select a base or instruction-tuned model according to whether the task is text continuation or instruction-based interaction.

Before you start

  • A task involving Chinese-language text generation, question answering, writing, or chat.

Steps

  1. For text continuation, choose Llama-3-Chinese-8B, the base model.

  2. For question answering, writing, chat, or other instruction-following tasks, choose a Llama-3-Chinese-8B-Instruct model; the project recommends v3 when there is no specific version preference.

  3. When using an Instruct model, follow the Llama-3-Instruct template; the project notes that this template is incompatible with Llama-2-chat.

Expected outcome

A model variant and prompt-template choice matched to the documented task type.

Guide limitations

  • The models support an 8K context length as listed in the model comparison.
  • This guidance selects a model and template; it does not cover downloading, running, or deploying the model.
Documentation 1 ↗
Evidence and transparency

Sources & review

Official repository ↗
Source record details
Source availability
Active
Sources checked
11 October 2026
Original website title
ymcui/Chinese-LLaMA-Alpaca-3 · Official homepage title · retained in its source language
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