This Model
This is an intermediate checkpoint with 480K steps and 1007B tokens.
How to use
You will need the transformers>=4.31
from transformers import AutoTokenizer
import transformers
import torch
model = "OpenGenerativeAI/testModel"
tokenizer = AutoTokenizer.from_pretrained(model)
pipeline = transformers.pipeline(
"text-generation",
model=model,
torch_dtype=torch.float16,
device_map="auto",
)
sequences = pipeline(
'The TinyLlama project aims to pretrain a 1.1B Llama model on 3 trillion tokens. With some proper optimization, we can achieve this within a span of "just" 90 days using 16 A100-40G GPUs ๐๐. The training has started on 2023-09-01.',
do_sample=True,
top_k=10,
num_return_sequences=1,
repetition_penalty=1.5,
eos_token_id=tokenizer.eos_token_id,
max_length=500,
)
for seq in sequences:
print(f"Result: {seq['generated_text']}")
- Downloads last month
- 15
Install from pip and serve model
# Install vLLM from pip: pip install vllm# Start the vLLM server: vllm serve "OpenGenerativeAI/testModel"# Call the server using curl (OpenAI-compatible API): curl -X POST "http://localhost:8000/v1/completions" \ -H "Content-Type: application/json" \ --data '{ "model": "OpenGenerativeAI/testModel", "prompt": "Once upon a time,", "max_tokens": 512, "temperature": 0.5 }'