metadata
license: apache-2.0
metrics:
- accuracy
pipeline_tag: text-generation
Summary
"Deer-3b," an instruction-following large language model based on "Bloom-3b," is fine-tuned using ±5k instructions.
Deer will also be available in larger models size.
Usage
To use the model with the transformers library on a machine with GPUs.
import torch
from transformers import pipeline
generate_text = pipeline(model="PSanni/Deer-3b", torch_dtype=torch.bfloat16, trust_remote_code=True, device_map="auto")
You can then use the pipeline to answer instructions:
res = generate_text("Explain to me the difference between nuclear fission and fusion.")
print(res[0]["generated_text"])
Note:
Kindly note that the model isn't attuned to human preferences and could generate unsuitable, unethical, biased, and toxic responses.