Llama-NextGen-4b
Llama-NextGen-4b is a merge of the following models using LazyMergekit:
🧩 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"])