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---
datasets:
- totally-not-an-llm/EverythingLM-data-V3
---
## Usage:
```python
from transformers import AutoModelForCausalLM, AutoTokenizer
import torch
tokenizer = AutoTokenizer.from_pretrained("TinyPixel/stablelm-ft2", trust_remote_code=True)
model = AutoModelForCausalLM.from_pretrained("TinyPixel/stablelm-ft2", torch_dtype=torch.bfloat16, device_map="auto", trust_remote_code=True)
text = '''### System:
You are a helpful AI assistant.
### User:
Why is sky blue?
### Assistant:
'''
device = "cuda:0"
inputs = tokenizer(text, return_tensors="pt").to(device)
outputs = model.generate(**inputs,
max_new_tokens=512,
do_sample=True,
top_p=0.95,
temperature=0.7,
top_k=50)
print(tokenizer.decode(outputs[0], skip_special_tokens=False))
``` |