---
# For reference on model card metadata, see the spec: https://github.com/huggingface/hub-docs/blob/main/modelcard.md?plain=1
# Doc / guide: https://huggingface.co/docs/hub/model-cards
{}
---

# Model Card for Model ID

<!-- Provide a quick summary of what the model is/does. -->

This modelcard aims to be a base template for new models. It has been generated using [this raw template](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/templates/modelcard_template.md?plain=1).

## Model Details

### Model Description

<!-- Provide a longer summary of what this model is. -->

- **Developed by:** 知未智能KDF
- **Model type:** JIANG
- **Language(s) (NLP):** Chinese
- **License:** Reasearch only (because using other Reasearch-Only SFT datasets)
- **Finetuned from model [optional]:** https://huggingface.co/kdf/jiang-base

## How to Get Started with the Model

Use the code below to get started with the model.

```python
from transformers import AutoModelForCausalLM, AutoTokenizer

model_id = 'kdf/jiang-chat'
model = AutoModelForCausalLM.from_pretrained(model_id, trust_remote_code=True)
tokenizer = AutoTokenizer.from_pretrained(model_id, trust_remote_code=True)
ret = model.generate(**tokenizer('<|unused52|>写首诗<|unused53|><|unused54|>', return_tensors='pt'), max_new_tokens=50, top_k=1)
print(tokenizer.decode(ret[0]))
```