Nanbeige4-3B-Thinking-Ties

Nanbeige4-3B-Thinking-Ties

Nanbeige4-3B-Thinking-Ties is a merge of the following models using LazyMergekit:

• Nanbeige/Nanbeige4-3B-Thinking-2511
• C10X/Nanbeige4-3B-Thinking-2511-Claude-4.5-Opus-High-Reasoning-Distill-V2-heretic
• arnomatic/Nanbeige4-3B-Thinking-2511-heretic

🧩 Configuration

models:
  - model: Nanbeige/Nanbeige4-3B-Thinking-2511
    parameters:
      density: 0.2
      weight: 0.2
  - model: C10X/Nanbeige4-3B-Thinking-2511-Claude-4.5-Opus-High-Reasoning-Distill-V2-heretic
    parameters:
      density: 0.5
      weight: 0.5
  - model: arnomatic/Nanbeige4-3B-Thinking-2511-heretic
    parameters:
      density: 0.3
      weight: 0.3
merge_method: ties
base_model: Nanbeige/Nanbeige4-3B-Thinking-2511
parameters:
  normalize: true
dtype: float16

💻 Usage

!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "bunnycore/Nanbeige4-3B-Thinking-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"])