---
# Model Card for Model ID

This repo contains the tokenizer, Chinese-Alpaca "merged" weights and configs for Chinese-LLaMA-Alpaca
Directly load `merge` weight for chinese-llama-alpaca-plus-lora-7b

```python
model_name_or_path = 'we1kkk/chinese-llama-alpaca-plus-lora-7b'

config = LlamaConfig.from_pretrained(
    model_name_or_path,
    # trust_remote_code=True
)
tokenizer = LlamaTokenizer.from_pretrained(
    model_name_or_path,
    # trust_remote_code=True
)
model = LlamaForCausalLM.from_pretrained(
    model_name_or_path,
    config=config,
    ).half().cuda()
```

 

## Citation

Thanks to: https://github.com/ymcui/Chinese-LLaMA-Alpaca.
Instructions for using the weights can be found at https://github.com/ymcui/Chinese-LLaMA-Alpaca.


{}
transformers pytorch llama text-generation autotrain_compatible endpoints_compatible has_space text-generation-inference region:us
TAGS
#transformers #pytorch #llama #text-generation #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 

---
# Model Card for Model ID

This repo contains the tokenizer, Chinese-Alpaca "merged" weights and configs for Chinese-LLaMA-Alpaca
Directly load 'merge' weight for chinese-llama-alpaca-plus-lora-7b



 

Thanks to: URL
Instructions for using the weights can be found at URL


# Model Card for Model ID

This repo contains the tokenizer, Chinese-Alpaca "merged" weights and configs for Chinese-LLaMA-Alpaca
Directly load 'merge' weight for chinese-llama-alpaca-plus-lora-7b



 

Thanks to: URL
Instructions for using the weights can be found at URL
TAGS
#transformers #pytorch #llama #text-generation #autotrain_compatible #endpoints_compatible #has_space #text-generation-inference #region-us 
 # Model Card for Model ID

This repo contains the tokenizer, Chinese-Alpaca "merged" weights and configs for Chinese-LLaMA-Alpaca
Directly load 'merge' weight for chinese-llama-alpaca-plus-lora-7b



 

Thanks to: URL
Instructions for using the weights can be found at URL