README.md

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license: cc-by-nc-4.0
---

My model is a state-of-the-art language processing AI designed to understand and generate human-like text. It leverages deep learning algorithms to engage in a wide range of language tasks, providing users with information, recommendations, and even casual conversation. With a broad knowledge base and nuanced understanding of context, my capabilities enable me to assist with various inquiries and perform complex language-based tasks effectively.

How to use？

from transformers import AutoModelForCausalLM, AutoTokenizer
from transformers.generation import GenerationConfig
import torch


model = AutoModelForCausalLM.from_pretrained(
    'TwT-6/open_llm_leaderboard_demo', 
    attn_implementation="flash_attention_2", 
    trust_remote_code=True, torch_dtype=torch.bfloat16, device_map="auto").eval()
tokenizer = AutoTokenizer.from_pretrained('TwT-6/open_llm_leaderboard_demo', trust_remote_code=True)
inputs = '你好'
inputs = f'<|omni_start|>### User:\n{inputs}\n\n### Assistant:\n'
inputs = tokenizer(inputs, return_tensors="pt").to('cuda')

output_ids = model.generate(**inputs)[0].cpu()
output = tokenizer.decode(output_ids[inputs.input_ids.shape[-1]:])

print(output)

## 你好！很高兴见到你。有什么我可以帮助你的吗