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1slices:
2 - sources:
3 - model: CorticalStack/pastiche-crown-clown-7b-dare-dpo
4 layer_range: [0, 32]
5 - model: nlpguy/AlloyIngotNeoY
6 layer_range: [0, 32]
7merge_method: slerp
8base_model: CorticalStack/pastiche-crown-clown-7b-dare-dpo
9parameters:
10 t:
11 - filter: self_attn
12 value: [0, 0.5, 0.3, 0.7, 1]
13 - filter: mlp
14 value: [1, 0.5, 0.7, 0.3, 0]
15 - value: 0.5
16dtype: bfloat16
17random_seed: 0
18 ```
19
20## 💻 Usage
21
22```python
23!pip install -qU transformers accelerate
24
25from transformers import AutoTokenizer
26import transformers
27import torch
28
29model = "automerger/PasticheAlloyingotneoy-7B"
30messages = [{"role": "user", "content": "What is a large language model?"}]
31
32tokenizer = AutoTokenizer.from_pretrained(model)
33prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
34pipeline = transformers.pipeline(
35 "text-generation",
36 model=model,
37 torch_dtype=torch.float16,
38 device_map="auto",
39)
40
41outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
42print(outputs[0]["generated_text"])