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---
pipeline_tag: text-generation
inference: true
widget:
- text: 'Hello!'
example_title: Hello world
group: Python
library_name: transformers
---
This model is randomly initialized, using the config from [deepseek-ai/deepseek-llm-67b-chat](https://huggingface.co/deepseek-ai/deepseek-llm-67b-chat) but with smaller size.
Note the model is in float16.
Codes:
```python
import transformers
import torch
import os
from huggingface_hub import create_repo, upload_folder
source_model_id = 'deepseek-ai/deepseek-llm-67b-chat'
save_path = '/tmp/yujiepan/deepseek-llm-tiny-random'
repo_id = 'yujiepan/deepseek-llm-tiny-random'
config = transformers.AutoConfig.from_pretrained(
source_model_id, trust_remote_code=True)
config.hidden_size = 2
config.intermediate_size = 4
config.num_attention_heads = 2
config.num_hidden_layers = 2
config.num_key_value_heads = 1
model = transformers.AutoModelForCausalLM.from_config(
config, trust_remote_code=True)
model = model.half()
model.save_pretrained(save_path)
tokenizer = transformers.AutoTokenizer.from_pretrained(
source_model_id, trust_remote_code=True)
tokenizer.save_pretrained(save_path)
result = transformers.pipelines.pipeline(
'text-generation',
model=model.float(), tokenizer=tokenizer)('Hello')
print(result)
os.system(f'ls -alh {save_path}')
create_repo(repo_id, exist_ok=True)
upload_folder(repo_id=repo_id, folder_path=save_path)
```