metadata
tags:
- merge
- mergekit
- lazymergekit
L3-Scrambled-Egg-Sandwich-8B
L3-Scrambled-Egg-Sandwich-8B is a merge of the following models using LazyMergekit:
🧩 Configuration
models:
- model: Casual-Autopsy/Scrambled-Egg-Sandwich
- model: Casual-Autopsy/Egg-and-Bread-IQ
merge_method: slerp
base_model: Casual-Autopsy/Scrambled-Egg-Sandwich
parameters:
t:
- value: [0.7, 0.5, 0.3, 0.25, 0.2, 0.25, 0.3, 0.5, 0.7]
dtype: bfloat16
💻 Usage
!pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "Casual-Autopsy/L3-Scrambled-Egg-Sandwich-8B"
messages = [{"role": "user", "content": "What is a large language model?"}]
tokenizer = AutoTokenizer.from_pretrained(model)
prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
pipeline = transformers.pipeline(
"text-generation",
model=model,
torch_dtype=torch.float16,
device_map="auto",
)
outputs = pipeline(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
print(outputs[0]["generated_text"])