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1models:
2 - model: cstr/Spaetzle-v68-7b
3 # no parameters necessary for base model
4 - model: abideen/AlphaMonarch-dora
5 parameters:
6 density: 0.60
7 weight: 0.30
8merge_method: dare_ties
9base_model: cstr/Spaetzle-v68-7b
10parameters:
11 int8_mask: true
12dtype: bfloat16
13random_seed: 0
14tokenizer_source: base1!pip install -qU transformers accelerate
2
3from transformers import AutoTokenizer
4import transformers
5import torch
6
7model = "cstr/Spaetzle-v69-7b"
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"])cc-by-nc-4.0, inherited through the base model from the models it was built from.