README.md

metadata

base_model:
  - chuanli11/Llama-3.2-3B-Instruct-uncensored
  - bunnycore/Llama-3.2-3B-Mix
tags:
  - merge
  - mergekit
  - lazymergekit
  - chuanli11/Llama-3.2-3B-Instruct-uncensored
  - bunnycore/Llama-3.2-3B-Mix

Llama-NextGen-4b

Llama-NextGen-4b is a merge of the following models using LazyMergekit:

• chuanli11/Llama-3.2-3B-Instruct-uncensored
• bunnycore/Llama-3.2-3B-Mix

🧩 Configuration

slices:
  - sources:
    - model: chuanli11/Llama-3.2-3B-Instruct-uncensored
      layer_range: [0, 12]
  - sources:
    - model: bunnycore/Llama-3.2-3B-Mix
      layer_range: [8, 28]
merge_method: passthrough
tokenizer_source: union
dtype: float16

💻 Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "powermove72/Llama-NextGen-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"])