metadata
base_model:
- Sagicc/Occam-2B-CCoT
- allenai/tmax-2b
tags:
- merge
- mergekit
- lazymergekit
- Sagicc/Occam-2B-CCoT
- allenai/tmax-2b
Papercut-2B
Papercut-2B is a merge of the following models using LazyMergekit:
🧩 Configuration
models:
- model: Qwen/Qwen3.5-2B # Base
- model: Sagicc/Occam-2B-CCoT # Short Thinking + Tool Calling
parameters:
weight: 1.0
density: 0.9
gamma: 0.01
- model: allenai/tmax-2b # Terminal Agent
parameters:
weight: 1.0
density: 0.9
gamma: 0.01
merge_method: breadcrumbs_ties
base_model: Qwen/Qwen3.5-2B
💻 Usage
!uv pip install -qU transformers accelerate
from transformers import AutoTokenizer
import transformers
import torch
model = "sillykiwi/Papercut-2B"
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"])