neo_7b-slerp-14-7 is a merge of the following models using
LazyMergekit:
1slices:
2 - sources:
3 - model: DewEfresh/neo_7b-slerp
4 layer_range: [0, 1]
5 - model: DewEfresh/neo_7b-slerp
6 layer_range: [1, 2]
7 - sources:
8 - model: DewEfresh/neo_7b-slerp
9 layer_range: [2, 3]
10 - model: DewEfresh/neo_7b-slerp
11 layer_range: [3, 4]
12 - sources:
13 - model: DewEfresh/neo_7b-slerp
14 layer_range: [4, 5]
15 - model: DewEfresh/neo_7b-slerp
16 layer_range: [5,6]
17 - sources:
18 - model: DewEfresh/neo_7b-slerp
19 layer_range: [6, 7]
20 - model: DewEfresh/neo_7b-slerp
21 layer_range: [7, 8]
22 - sources:
23 - model: DewEfresh/neo_7b-slerp
24 layer_range: [8, 9]
25 - model: DewEfresh/neo_7b-slerp
26 layer_range: [9, 10]
27 - sources:
28 - model: DewEfresh/neo_7b-slerp
29 layer_range: [10, 11]
30 - model: DewEfresh/neo_7b-slerp
31 layer_range: [11, 12]
32 - sources:
33 - model: DewEfresh/neo_7b-slerp
34 layer_range: [12, 13]
35 - model: DewEfresh/neo_7b-slerp
36 layer_range: [13, 14]
37merge_method: slerp
38base_model: DewEfresh/neo_7b-slerp
39parameters:
40 t: 0.5
41dtype: bfloat16
1!pip install -qU transformers accelerate
2
3from transformers import AutoTokenizer
4import transformers
5import torch
6
7model = "DewEfresh/neo_7b-slerp-14-7"
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"])
