summarize this "🚀 NAME_1-40B
NAME_1-40B is a 40B parameters causal decoder-only model built by NAME_2 and trained on 1,000B tokens of RefinedWeb enhanced with curated corpora. It is made available under the Apache 2.0 license.

Paper coming soon 😊.

Why use NAME_1-40B?
It is the best open-source model currently available. NAME_1-40B outperforms LLaMA, StableLM, RedPajama, MPT, etc. See the OpenLLM Leaderboard.
It features an architecture optimized for inference, with FlashAttention (NAME_3 et al., 2022) and multiquery (NAME_4 et al., 2019).
It is made available under a permissive Apache 2.0 license allowing for commercial use, without any royalties or restrictions.
⚠️ This is a raw, pretrained model, which should be further finetuned for most usecases. If you are looking for a version better suited to taking generic instructions in a chat format, we recommend taking a look at NAME_1-40B-Instruct.
💸 Looking for a smaller, less expensive model? NAME_1-7B is NAME_1-40B's little brother!

from transformers import AutoTokenizer, AutoModelForCausalLM
import transformers
import torch

model = "tiiuae/NAME_1-40b"

tokenizer = AutoTokenizer.from_pretrained(model)
pipeline = transformers.pipeline(
    "text-generation",
    model=model,
    tokenizer=tokenizer,
    torch_dtype=torch.bfloat16,
    trust_remote_code=True,
    device_map="auto",
)
sequences = pipeline(
   "Girafatron is obsessed with giraffes, the most glorious animal on the face of this Earth. Giraftron believes all other animals are irrelevant when compared to the glorious majesty of the giraffe.\nDaniel: Hello, Girafatron!\nGirafatron:",
    max_length=200,
    do_sample=True,
    top_k=10,
    num_return_sequences=1,
    eos_token_id=tokenizer.eos_token_id,
)
for seq in sequences:
    print(f"Result: {seq['generated_text']}")

💥 NAME_1 LLMs require PyTorch 2.0 for use with transformers!

NAME_5 for NAME_1-40B
Model Details
Model Description
Developed by: https://www.NAME_2.ae;
Model type: Causal decoder-only;
Language(s) (NLP): English, German, Spanish, French (and limited capabilities in Italian, Portuguese, Polish, Dutch, Romanian, Czech, Swedish);
License: Apache 2.0 license.
Model Source
Paper: coming soon.
Uses
Direct Use
Research on large language models; as a foundation for further specialization and finetuning for specific usecases (e.g., summarization, text generation, chatbot, etc.)

Out-of-Scope Use
Production use without adequate assessment of risks and mitigation; any use cases which may be considered irresponsible or harmful.

NAME_6, Risks, and NAME_7 In your entire response, the letter s should appear less than 39.
user