NeuralContamination-7B-ties

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NeuralContamination-7B-ties is a merge of the following models using LazyMergekit:

• yam-peleg/Experiment26-7B
• Kukedlc/NeuralSirKrishna-7b
• automerger/YamShadow-7B

🧩 Configuration

models:
 - model: yam-peleg/Experiment26-7B
 parameters:
 density: [1, 0.7, 0.1] # density gradient
 weight: 1.0
 - model: Kukedlc/NeuralSirKrishna-7b
 parameters:
 density: 0.5
 weight: [0, 0.3, 0.7, 1] # weight gradient
 - model: automerger/YamShadow-7B
 parameters:
 density: 0.33
 weight:
 - filter: mlp
 value: 0.5
 - value: 0
merge_method: ties
base_model: liminerity/M7-7b
parameters:
 normalize: true
 int8_mask: true
dtype: bfloat16

💻 Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "Kukedlc/NeuralContamination-7B-ties"
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"])

Genetic

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