Downloads · 30 days
58
1% of all-time downloads
louisbrulenaudet/Maxine-34B-stock
Maxine-34B-stock is a text generation model from louisbrulenaudet. Use it when you need the model to write or continue text. It is set up for transformers. The card lists the license as apache-2.0.
<center<img src='https://i.imgur.com/dU9dUh0.png' width='500px'</center
Downloads · 30 days
58
1% of all-time downloads
All-time downloads
5.6K
Public
Parameters
34.4B
68.8 GB on disk
Likes
3
Public
Click a slice to open those files.
.safetensors68.8 GB · 100%
From the Hugging Face model README
Maxine-34B-stock is a merge of the following models:
04-07-2024 - To date, louisbrulenaudet/Maxine-34B-stock is the "Best 🤝 base merges and moerges model of around 30B" on the Open LLM Leaderboard.
models:
- model: ConvexAI/Luminex-34B-v0.2
- model: fblgit/UNA-34BeagleSimpleMath-32K-v1
merge_method: model_stock
base_model: abacusai/Smaug-34B-v0.1
dtype: bfloat16
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "louisbrulenaudet/Maxine-34B-stock"
messages = [{"role": "user", "content": "What is a large language model?"}]
tokenizer = AutoTokenizer.from_pretrained(model)
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
pipeline = transformers.pipeline(
"text-generation",
model=model,
torch_dtype=torch.float16,
device_map="auto",
)
outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])
If you use this code in your research, please use the following BibTeX entry.
@misc{louisbrulenaudet2024,
author = {Louis Brulé Naudet},
title = {Maxine-34B-stock, an xtraordinary 34B model},
year = {2024}
howpublished = {\url{https://huggingface.co/louisbrulenaudet/Maxine-34B-stock}},
}
If you have any feedback, please reach out at [email protected].