transformers pytorch llama text-generation conversational autotrain_compatible endpoints_compatible text-generation-inference region:us
base_model: TinyLlama/TinyLlama-1.1B-Chat-v1.0

datasets : miniguanaco

### To use the model in the colab, use the below steps
```
!pip install accelerate
import torch
from transformers import pipeline

pipe = pipeline("text-generation", model="epsil/Tinyllama-1.1B-miniguanaco", torch_dtype=torch.bfloat16, device_map="auto")

# We use the tokenizer's chat template to format each message - see https://huggingface.co/docs/transformers/main/en/chat_templating
messages = [
    {
        "role": "system",
        "content": "You are a friendly chatbot who always responds in the style of a pirate",
    },
    {"role": "user", "content": "Are llm better than rule based chat?"},
]
prompt = pipe.tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
outputs = pipe(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])
```

