models:
  - layer_range: [0, 40]
    model: liminerity/M7-7b
    parameters:
      weight: 0.5
  - layer_range: [0, 40]
    model: rwitz/experiment26-truthy-iter-0
    parameters:
      weight: 0.5
merge_method: task_arithmetic
base_model: liminerity/M7-7b
dtype: bfloat16
random_seed: 0

💻 Usage

python

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "mlabonne/Zebrafish-linear-7B"
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"])

RichardErkhov/mlabonne_-_Zebrafish-linear-7B-8bits

Original model description:

Zebrafish-linear-7B

🧩 Configuration

💻 Usage

RichardErkhov/
mlabonne_-_Zebrafish-linear-7B-8bits