---
title: chinese-llama-2-7b-64k
canonical_url: "https://www.modelscope.cn/models/AI-ModelScope/chinese-llama-2-7b-64k"
md_url: "https://www.modelscope.cn/models/AI-ModelScope/chinese-llama-2-7b-64k.md"
repository: AI-ModelScope/chinese-llama-2-7b-64k
last_updated: 2025-02-18
license: apache-2.0
model_type:
  - llama
architectures:
  - LlamaForCausalLM
parameters: 6.9B
tensor_type:
  - F32
  - F16
library_name:
  - safetensors
  - pytorch
frameworks:
  - pytorch
language:
  - zh
  - en
inference_backends:
  - "deploy_task text/emb"
  - "lmdeploy 0.9.1"
  - "lmdeploy_turbomind 0.9.1"
  - "sglang 0.5.2"
  - "vllm 0.9.2"
downloads: 2541
stars: 0
---

# chinese-llama-2-7b-64k

> chinese-llama-2-7b-64k - AI-ModelScope 在 ModelScope 开源的模型。Chinese-LLaMA-2-7B-64K

AI-ModelScope/chinese-llama-2-7b-64k 是 ModelScope 魔搭社区上的 6.9B 参数机器学习模型，采用 apache-2.0 许可，可用 deploy_task text/emb、lmdeploy 0.9.1、lmdeploy_turbomind 0.9.1 部署。

- **Repository**: AI-ModelScope/chinese-llama-2-7b-64k
- **License**: apache-2.0
- **Parameters**: 6.9B
- **Inference backends**: deploy_task text/emb, lmdeploy 0.9.1, lmdeploy_turbomind 0.9.1, sglang 0.5.2, vllm 0.9.2
- **Downloads**: 2541
- **Stars**: 0
- **Last updated**: 2025-02-18

Source: https://www.modelscope.cn/models/AI-ModelScope/chinese-llama-2-7b-64k

---

# Chinese-LLaMA-2-7B-64K

This repository contains **Chinese-LLaMA-2-7B-64K**, which is tuned on Chinese-LLaMA-2-7B with **YaRN method**.

For LoRA-only model, please see: https://huggingface.co/hfl/chinese-llama-2-lora-7b-64k

Please refer to [https://github.com/ymcui/Chinese-LLaMA-Alpaca-2/](https://github.com/ymcui/Chinese-LLaMA-Alpaca-2/) for more details.