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1models:
2 - model: ConvexAI/Luminex-34B-v0.2
3 - model: fblgit/UNA-34BeagleSimpleMath-32K-v1
4merge_method: model_stock
5base_model: abacusai/Smaug-34B-v0.1
6dtype: bfloat161!pip install -qU transformers accelerate
2
3from transformers import AutoTokenizer
4import transformers
5import torch
6
7model = "louisbrulenaudet/Maxine-34B-stock"
8messages = [{"role": "user", "content": "What is a large language model?"}]
9
10tokenizer = AutoTokenizer.from_pretrained(model)
11prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
12pipeline = transformers.pipeline(
13 "text-generation",
14 model=model,
15 torch_dtype=torch.float16,
16 device_map="auto",
17)
18
19outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
20print(outputs[0]["generated_text"])1@misc{louisbrulenaudet2024,
2 author = {Louis Brulé Naudet},
3 title = {Maxine-34B-stock, an xtraordinary 34B model},
4 year = {2024}
5 howpublished = {\url{https://huggingface.co/louisbrulenaudet/Maxine-34B-stock}},
6}