# jlm-13B

**Repository Path**: striver619/jlm-13B

## Basic Information

- **Project Name**: jlm-13B
- **Description**: 降了么使用的13B大模型
- **Primary Language**: Unknown
- **License**: Not specified
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 0
- **Created**: 2026-02-20
- **Last Updated**: 2026-02-20

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

---
language:
- zh
license: apache-2.0
tasks:
- text-generation
---

<!-- markdownlint-disable first-line-h1 -->
<!-- markdownlint-disable html -->
<div align="center">
<h1>
  HuatuoGPT2-13B
</h1>
</div>

<div align="center">
<a href="https://github.com/FreedomIntelligence/HuatuoGPT-II" target="_blank">GitHub</a> | <a href="https://arxiv.org/pdf/2311.09774.pdf" target="_blank">Our Paper</a>
</div>

# <span id="Start">Quick Start</span>

```Python
import torch
from transformers import AutoModelForCausalLM, AutoTokenizer
from transformers.generation.utils import GenerationConfig
tokenizer = AutoTokenizer.from_pretrained("FreedomIntelligence/HuatuoGPT2-13B", use_fast=True, trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("FreedomIntelligence/HuatuoGPT2-13B", device_map="auto", torch_dtype='auto', trust_remote_code=True)
model.generation_config = GenerationConfig.from_pretrained("FreedomIntelligence/HuatuoGPT2-13B")
messages = []
messages.append({"role": "user", "content": "肚子疼怎么办？"})
response = model.HuatuoChat(tokenizer, messages)
print(response)
```