---
tags:
- merge
- mergekit
- lazymergekit
---

# GZA-14B-sce

GZA-14B-sce is a merge of the following models:
RZA & GZA Models provided me data to which model ranked to influence the merge. 
RZA blended somewhere between two models with different variations to answers questions in different formats. 
While GZA continued to use one type of formatting.
https://huggingface.co/Quazim0t0/GZA-14B-sce

## 🧩 Configuration

```yaml
models:
  # Pivot model
  - model: Quazim0t0/Phi4.Turn.R1Distill.16bit
  # Target models
  - model: Quazim0t0/ThinkPhi1.1-Tensors
  - model: Pinkstack/SuperThoughts-CoT-14B-16k-o1-QwQ
  - model: prithivMLmods/Phi-4-QwQ
merge_method: sce
base_model: Quazim0t0/Phi4.Turn.R1Distill.16bit
parameters:
  select_topk: 1.0
dtype: bfloat16
```

## 💻 Usage

```python
!pip install -qU transformers accelerate

from transformers import AutoTokenizer
import transformers
import torch

model = "Quazim0t0/GZA-14B-sce"
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"])
```