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1models:
2 - model: DeepCode-7B-Aurora-v4
3 parameters:
4 weight: 1
5 - model: DeepCode-7B-Aurora-v5
6 parameters:
7 weight: 1
8 - model: DeepCode-7B-Aurora-v6
9 parameters:
10 weight: 1
11 - model: DeepCode-7B-Aurora-v7
12 parameters:
13 weight: 1
14 - model: DeepCode-7B-Aurora-v8
15 parameters:
16 weight: 1
17 - model: DeepCode-7B-Aurora-v9
18 parameters:
19 weight: 1
20 - model: DeepCode-7B-Aurora-v10
21 parameters:
22 weight: 1
23merge_method: task_arithmetic
24base_model: DeepCode-7B-Aurora-v7
25parameters:
26 normalize: true
27 int8_mask: true
28dtype: float161!pip install -qU transformers accelerate
2
3from transformers import AutoTokenizer
4import transformers
5import torch
6
7model = "ALBADDAWI/DeepCode-7B-Aurora-v11"
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"])